API tools faq
paste
Advertisement
Guest User

Untitled

a guest
Jul 20th, 2018
188
0
Never
Add comment
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 140.28 KB | None | 0 0
raw download clone embed print report
  1. In file included from /usr/include/c++/5/cstdint:35:0,
  2. from /usr/local/include/mlpack/prereqs.hpp:32,
  3. from /usr/local/include/mlpack/core.hpp:253,
  4. from streamin_extractor_music.cpp:32:
  5. /usr/include/c++/5/bits/c++0x_warning.h:32:2: error: #error This file requires compiler and library support for the ISO C++ 2011 standard. This support must be enabled with the -std=c++11 or -std=gnu++11 compiler options.
  6. #error This file requires compiler and library support \
  7. ^
  8. In file included from /usr/local/include/mlpack/core.hpp:253:0,
  9. from streamin_extractor_music.cpp:32:
  10. /usr/local/include/mlpack/prereqs.hpp:58:1: error: expected unqualified-id before ‘using’
  11. using enable_if_t = typename enable_if<B, T>::type;
  12. ^
  13. In file included from /usr/local/include/mlpack/core/boost_backport/boost_backport_serialization.hpp:25:0,
  14. from /usr/local/include/mlpack/prereqs.hpp:82,
  15. from /usr/local/include/mlpack/core.hpp:253,
  16. from streamin_extractor_music.cpp:32:
  17. /usr/include/boost/serialization/unordered_map.hpp:98:16: error: ‘unordered_map’ in namespace ‘std’ does not name a template type
  18. const std::unordered_map<
  19. ^
  20. /usr/include/boost/serialization/unordered_map.hpp:98:29: error: expected ‘,’ or ‘...’ before ‘<’ token
  21. const std::unordered_map<
  22. ^
  23. /usr/include/boost/serialization/unordered_map.hpp: In function ‘void boost::serialization::save(Archive&, int)’:
  24. /usr/include/boost/serialization/unordered_map.hpp:105:9: error: ‘unordered_map’ is not a member of ‘std’
  25. std::unordered_map<
  26. ^
  27. /usr/include/boost/serialization/unordered_map.hpp:105:9: error: ‘unordered_map’ is not a member of ‘std’
  28. /usr/include/boost/serialization/unordered_map.hpp:103:32: error: parse error in template argument list
  29. boost::serialization::stl::save_unordered_collection<
  30. ^
  31. /usr/include/boost/serialization/unordered_map.hpp:108:11: error: ‘t’ was not declared in this scope
  32. >(ar, t);
  33. ^
  34. /usr/include/boost/serialization/unordered_map.hpp: At global scope:
  35. /usr/include/boost/serialization/unordered_map.hpp:120:10: error: ‘std::unordered_map’ has not been declared
  36. std::unordered_map<
  37. ^
  38. /usr/include/boost/serialization/unordered_map.hpp:120:23: error: expected ‘,’ or ‘...’ before ‘<’ token
  39. std::unordered_map<
  40. ^
  41. /usr/include/boost/serialization/unordered_map.hpp: In function ‘void boost::serialization::load(Archive&, int)’:
  42. /usr/include/boost/serialization/unordered_map.hpp:127:9: error: ‘unordered_map’ is not a member of ‘std’
  43. std::unordered_map<
  44. ^
  45. /usr/include/boost/serialization/unordered_map.hpp:127:9: error: ‘unordered_map’ is not a member of ‘std’
  46. /usr/include/boost/serialization/unordered_map.hpp:125:32: error: parse error in template argument list
  47. boost::serialization::stl::load_unordered_collection<
  48. ^
  49. /usr/include/boost/serialization/unordered_map.hpp:132:13: error: ‘unordered_map’ is not a member of ‘std’
  50. std::unordered_map<
  51. ^
  52. /usr/include/boost/serialization/unordered_map.hpp:132:13: error: ‘unordered_map’ is not a member of ‘std’
  53. /usr/include/boost/serialization/unordered_map.hpp:134:13: error: wrong number of template arguments (5, should be 2)
  54. >
  55. ^
  56. /usr/include/boost/serialization/unordered_map.hpp:37:8: note: provided for ‘template<class Archive, class Container> struct boost::serialization::stl::archive_input_unordered_map’
  57. struct archive_input_unordered_map
  58. ^
  59. /usr/include/boost/serialization/unordered_map.hpp:136:5: error: expected primary-expression before ‘>’ token
  60. >(ar, t);
  61. ^
  62. /usr/include/boost/serialization/unordered_map.hpp:136:11: error: ‘t’ was not declared in this scope
  63. >(ar, t);
  64. ^
  65. /usr/include/boost/serialization/unordered_map.hpp: At global scope:
  66. /usr/include/boost/serialization/unordered_map.hpp:150:10: error: ‘std::unordered_map’ has not been declared
  67. std::unordered_map<
  68. ^
  69. /usr/include/boost/serialization/unordered_map.hpp:150:23: error: expected ‘,’ or ‘...’ before ‘<’ token
  70. std::unordered_map<
  71. ^
  72. /usr/include/boost/serialization/unordered_map.hpp: In function ‘void boost::serialization::serialize(Archive&, int)’:
  73. /usr/include/boost/serialization/unordered_map.hpp:155:42: error: ‘t’ was not declared in this scope
  74. boost::serialization::split_free(ar, t, file_version);
  75. ^
  76. /usr/include/boost/serialization/unordered_map.hpp:155:45: error: ‘file_version’ was not declared in this scope
  77. boost::serialization::split_free(ar, t, file_version);
  78. ^
  79. /usr/include/boost/serialization/unordered_map.hpp: At global scope:
  80. /usr/include/boost/serialization/unordered_map.hpp:168:16: error: ‘unordered_multimap’ in namespace ‘std’ does not name a template type
  81. const std::unordered_multimap<
  82. ^
  83. /usr/include/boost/serialization/unordered_map.hpp:168:34: error: expected ‘,’ or ‘...’ before ‘<’ token
  84. const std::unordered_multimap<
  85. ^
  86. /usr/include/boost/serialization/unordered_map.hpp:166:13: error: redefinition of ‘template<class Archive, class Key, class HashFcn, class EqualKey, class Allocator> void boost::serialization::save(Archive&, int)’
  87. inline void save(
  88. ^
  89. /usr/include/boost/serialization/unordered_map.hpp:96:13: note: ‘template<class Archive, class Key, class HashFcn, class EqualKey, class Allocator> void boost::serialization::save(Archive&, int)’ previously declared here
  90. inline void save(
  91. ^
  92. /usr/include/boost/serialization/unordered_map.hpp:190:10: error: ‘std::unordered_multimap’ has not been declared
  93. std::unordered_multimap<
  94. ^
  95. /usr/include/boost/serialization/unordered_map.hpp:190:28: error: expected ‘,’ or ‘...’ before ‘<’ token
  96. std::unordered_multimap<
  97. ^
  98. /usr/include/boost/serialization/unordered_map.hpp:188:13: error: redefinition of ‘template<class Archive, class Key, class HashFcn, class EqualKey, class Allocator> void boost::serialization::load(Archive&, int)’
  99. inline void load(
  100. ^
  101. /usr/include/boost/serialization/unordered_map.hpp:118:13: note: ‘template<class Archive, class Key, class HashFcn, class EqualKey, class Allocator> void boost::serialization::load(Archive&, int)’ previously declared here
  102. inline void load(
  103. ^
  104. /usr/include/boost/serialization/unordered_map.hpp:220:10: error: ‘std::unordered_multimap’ has not been declared
  105. std::unordered_multimap<
  106. ^
  107. /usr/include/boost/serialization/unordered_map.hpp:220:28: error: expected ‘,’ or ‘...’ before ‘<’ token
  108. std::unordered_multimap<
  109. ^
  110. /usr/include/boost/serialization/unordered_map.hpp:218:13: error: redefinition of ‘template<class Archive, class Key, class HashFcn, class EqualKey, class Allocator> void boost::serialization::serialize(Archive&, int)’
  111. inline void serialize(
  112. ^
  113. /usr/include/boost/serialization/unordered_map.hpp:148:13: note: ‘template<class Archive, class Key, class HashFcn, class EqualKey, class Allocator> void boost::serialization::serialize(Archive&, int)’ previously declared here
  114. inline void serialize(
  115. ^
  116. In file included from /usr/local/include/mlpack/core/data/has_serialize.hpp:16:0,
  117. from /usr/local/include/mlpack/prereqs.hpp:88,
  118. from /usr/local/include/mlpack/core.hpp:253,
  119. from streamin_extractor_music.cpp:32:
  120. /usr/local/include/mlpack/core/util/sfinae_utility.hpp:106:58: error: expected class-name before ‘{’ token
  121. template<typename U, U> struct SigCheck : std::true_type {};
  122. ^
  123. /usr/local/include/mlpack/core/data/has_serialize.hpp:26:1: error: expected unqualified-id before ‘using’
  124. HAS_EXACT_METHOD_FORM(serialize, HasSerializeCheck);
  125. ^
  126. /usr/local/include/mlpack/core/data/has_serialize.hpp:26:1: error: expected nested-name-specifier before ‘yes’
  127. HAS_EXACT_METHOD_FORM(serialize, HasSerializeCheck);
  128. ^
  129. /usr/local/include/mlpack/core/data/has_serialize.hpp:26:1: error: expected nested-name-specifier before ‘no’
  130. HAS_EXACT_METHOD_FORM(serialize, HasSerializeCheck);
  131. ^
  132. /usr/local/include/mlpack/core/data/has_serialize.hpp:26:1: error: expected unqualified-id before ‘using’
  133. HAS_EXACT_METHOD_FORM(serialize, HasSerializeCheck);
  134. ^
  135. /usr/local/include/mlpack/core/data/has_serialize.hpp:26:1: error: ‘EnableIfVoid’ does not name a type
  136. HAS_EXACT_METHOD_FORM(serialize, HasSerializeCheck);
  137. ^
  138. /usr/local/include/mlpack/core/data/has_serialize.hpp:26:1: error: ‘no’ does not name a type
  139. HAS_EXACT_METHOD_FORM(serialize, HasSerializeCheck);
  140. ^
  141. /usr/local/include/mlpack/core/data/has_serialize.hpp:26:1: error: ‘chk’ was not declared in this scope
  142. HAS_EXACT_METHOD_FORM(serialize, HasSerializeCheck);
  143. ^
  144. /usr/local/include/mlpack/core/data/has_serialize.hpp:26:1: error: expected primary-expression before ‘>’ token
  145. HAS_EXACT_METHOD_FORM(serialize, HasSerializeCheck);
  146. ^
  147. /usr/local/include/mlpack/core/data/has_serialize.hpp:26:1: error: ‘yes’ was not declared in this scope
  148. HAS_EXACT_METHOD_FORM(serialize, HasSerializeCheck);
  149. ^
  150. /usr/local/include/mlpack/core/data/has_serialize.hpp:26:1: error: expected nested-name-specifier before ‘type’
  151. HAS_EXACT_METHOD_FORM(serialize, HasSerializeCheck);
  152. ^
  153. /usr/local/include/mlpack/core/data/has_serialize.hpp:26:1: error: ‘type’ has not been declared
  154. HAS_EXACT_METHOD_FORM(serialize, HasSerializeCheck);
  155. ^
  156. In file included from /usr/local/include/mlpack/prereqs.hpp:88:0,
  157. from /usr/local/include/mlpack/core.hpp:253,
  158. from streamin_extractor_music.cpp:32:
  159. /usr/local/include/mlpack/core/data/has_serialize.hpp:34:3: error: expected unqualified-id before ‘using’
  160. using NonStaticSerialize = void(C::*)(boost::archive::xml_oarchive&,
  161. ^
  162. /usr/local/include/mlpack/core/data/has_serialize.hpp:37:3: error: expected unqualified-id before ‘using’
  163. using StaticSerialize = void(*)(boost::archive::xml_oarchive&,
  164. ^
  165. /usr/local/include/mlpack/core/data/has_serialize.hpp:40:50: error: ‘NonStaticSerialize’ was not declared in this scope
  166. static const bool value = HasSerializeCheck<T, NonStaticSerialize>::value ||
  167. ^
  168. /usr/local/include/mlpack/core/data/has_serialize.hpp:40:68: error: template argument 2 is invalid
  169. static const bool value = HasSerializeCheck<T, NonStaticSerialize>::value ||
  170. ^
  171. /usr/local/include/mlpack/core/data/has_serialize.hpp:41:50: error: ‘StaticSerialize’ was not declared in this scope
  172. HasSerializeCheck<T, StaticSerialize>::value;
  173. ^
  174. /usr/local/include/mlpack/core/data/has_serialize.hpp:41:65: error: template argument 2 is invalid
  175. HasSerializeCheck<T, StaticSerialize>::value;
  176. ^
  177. /usr/local/include/mlpack/core/data/has_serialize.hpp:53:27: error: ‘enable_if_t’ in namespace ‘std’ does not name a template type
  178. typename std::enable_if_t<std::is_class<U>::value>*,
  179. ^
  180. /usr/local/include/mlpack/core/data/has_serialize.hpp:53:38: error: expected template-argument before ‘<’ token
  181. typename std::enable_if_t<std::is_class<U>::value>*,
  182. ^
  183. /usr/local/include/mlpack/core/data/has_serialize.hpp:53:38: error: expected ‘>’ before ‘<’ token
  184. /usr/local/include/mlpack/core/data/has_serialize.hpp:54:71: error: wrong number of template arguments (2, should be 3)
  185. typename std::enable_if_t<HasSerializeFunction<U>::value>*>*);
  186. ^
  187. /usr/local/include/mlpack/core/data/has_serialize.hpp:50:55: note: provided for ‘template<class T> template<class U, class V, class W> struct mlpack::data::HasSerialize<T>::check’
  188. template<typename U, typename V, typename W> struct check;
  189. ^
  190. /usr/local/include/mlpack/core/data/has_serialize.hpp:54:72: error: expected ‘::’ before ‘*’ token
  191. typename std::enable_if_t<HasSerializeFunction<U>::value>*>*);
  192. ^
  193. /usr/local/include/mlpack/core/data/has_serialize.hpp:54:72: error: expected identifier before ‘*’ token
  194. In file included from /usr/local/include/mlpack/core/util/log.hpp:18:0,
  195. from /usr/local/include/mlpack/prereqs.hpp:116,
  196. from /usr/local/include/mlpack/core.hpp:253,
  197. from streamin_extractor_music.cpp:32:
  198. /usr/local/include/mlpack/core/util/prefixedoutstream.hpp:136:17: error: ‘enable_if’ in namespace ‘std’ does not name a template type
  199. typename std::enable_if<!arma::is_arma_type<T>::value>::type
  200. ^
  201. /usr/local/include/mlpack/core/util/prefixedoutstream.hpp:136:26: error: expected unqualified-id before ‘<’ token
  202. typename std::enable_if<!arma::is_arma_type<T>::value>::type
  203. ^
  204. /usr/local/include/mlpack/core/util/prefixedoutstream.hpp:150:17: error: ‘enable_if’ in namespace ‘std’ does not name a template type
  205. typename std::enable_if<arma::is_arma_type<T>::value>::type
  206. ^
  207. /usr/local/include/mlpack/core/util/prefixedoutstream.hpp:150:26: error: expected unqualified-id before ‘<’ token
  208. typename std::enable_if<arma::is_arma_type<T>::value>::type
  209. ^
  210. In file included from /usr/local/include/mlpack/core/util/prefixedoutstream.hpp:174:0,
  211. from /usr/local/include/mlpack/core/util/log.hpp:18,
  212. from /usr/local/include/mlpack/prereqs.hpp:116,
  213. from /usr/local/include/mlpack/core.hpp:253,
  214. from streamin_extractor_music.cpp:32:
  215. /usr/local/include/mlpack/core/util/prefixedoutstream_impl.hpp: In member function ‘mlpack::util::PrefixedOutStream& mlpack::util::PrefixedOutStream::operator<<(const T&)’:
  216. /usr/local/include/mlpack/core/util/prefixedoutstream_impl.hpp:32:3: error: ‘BaseLogic’ was not declared in this scope
  217. BaseLogic<T>(s);
  218. ^
  219. /usr/local/include/mlpack/core/util/prefixedoutstream_impl.hpp:32:14: error: expected primary-expression before ‘>’ token
  220. BaseLogic<T>(s);
  221. ^
  222. /usr/local/include/mlpack/core/util/prefixedoutstream_impl.hpp: At global scope:
  223. /usr/local/include/mlpack/core/util/prefixedoutstream_impl.hpp:38:15: error: ‘enable_if’ in namespace ‘std’ does not name a template type
  224. typename std::enable_if<!arma::is_arma_type<T>::value>::type
  225. ^
  226. /usr/local/include/mlpack/core/util/prefixedoutstream_impl.hpp:38:24: error: expected unqualified-id before ‘<’ token
  227. typename std::enable_if<!arma::is_arma_type<T>::value>::type
  228. ^
  229. /usr/local/include/mlpack/core/util/prefixedoutstream_impl.hpp:146:15: error: ‘enable_if’ in namespace ‘std’ does not name a template type
  230. typename std::enable_if<arma::is_arma_type<T>::value>::type
  231. ^
  232. /usr/local/include/mlpack/core/util/prefixedoutstream_impl.hpp:146:24: error: expected unqualified-id before ‘<’ token
  233. typename std::enable_if<arma::is_arma_type<T>::value>::type
  234. ^
  235. In file included from /usr/local/include/mlpack/prereqs.hpp:117:0,
  236. from /usr/local/include/mlpack/core.hpp:253,
  237. from streamin_extractor_music.cpp:32:
  238. /usr/local/include/mlpack/core/util/timers.hpp:76:15: error: ‘chrono’ in namespace ‘std’ does not name a type
  239. static std::chrono::microseconds Get(const std::string& name);
  240. ^
  241. /usr/local/include/mlpack/core/util/timers.hpp:106:25: error: ‘chrono’ is not a member of ‘std’
  242. std::map<std::string, std::chrono::microseconds> GetAllTimers();
  243. ^
  244. /usr/local/include/mlpack/core/util/timers.hpp:106:25: error: ‘chrono’ is not a member of ‘std’
  245. /usr/local/include/mlpack/core/util/timers.hpp:106:50: error: template argument 2 is invalid
  246. std::map<std::string, std::chrono::microseconds> GetAllTimers();
  247. ^
  248. /usr/local/include/mlpack/core/util/timers.hpp:106:50: error: template argument 4 is invalid
  249. /usr/local/include/mlpack/core/util/timers.hpp:120:8: error: ‘chrono’ in namespace ‘std’ does not name a type
  250. std::chrono::microseconds GetTimer(const std::string& timerName);
  251. ^
  252. /usr/local/include/mlpack/core/util/timers.hpp:140:30: error: ‘thread’ in namespace ‘std’ does not name a type
  253. const std::thread::id& threadId = std::thread::id());
  254. ^
  255. /usr/local/include/mlpack/core/util/timers.hpp:140:40: error: expected unqualified-id before ‘&’ token
  256. const std::thread::id& threadId = std::thread::id());
  257. ^
  258. /usr/local/include/mlpack/core/util/timers.hpp:140:40: error: expected ‘)’ before ‘&’ token
  259. /usr/local/include/mlpack/core/util/timers.hpp:140:38: error: expected ‘;’ at end of member declaration
  260. const std::thread::id& threadId = std::thread::id());
  261. ^
  262. /usr/local/include/mlpack/core/util/timers.hpp:140:69: error: expected ‘;’ at end of member declaration
  263. const std::thread::id& threadId = std::thread::id());
  264. ^
  265. /usr/local/include/mlpack/core/util/timers.hpp:140:70: error: expected unqualified-id before ‘)’ token
  266. const std::thread::id& threadId = std::thread::id());
  267. ^
  268. /usr/local/include/mlpack/core/util/timers.hpp:149:29: error: ‘thread’ in namespace ‘std’ does not name a type
  269. const std::thread::id& threadId = std::thread::id());
  270. ^
  271. /usr/local/include/mlpack/core/util/timers.hpp:149:39: error: expected unqualified-id before ‘&’ token
  272. const std::thread::id& threadId = std::thread::id());
  273. ^
  274. /usr/local/include/mlpack/core/util/timers.hpp:149:39: error: expected ‘)’ before ‘&’ token
  275. /usr/local/include/mlpack/core/util/timers.hpp:149:37: error: expected ‘;’ at end of member declaration
  276. const std::thread::id& threadId = std::thread::id());
  277. ^
  278. /usr/local/include/mlpack/core/util/timers.hpp:149:68: error: expected ‘;’ at end of member declaration
  279. const std::thread::id& threadId = std::thread::id());
  280. ^
  281. /usr/local/include/mlpack/core/util/timers.hpp:149:68: error: redeclaration of ‘int& mlpack::Timers::threadId’
  282. /usr/local/include/mlpack/core/util/timers.hpp:140:69: note: previous declaration ‘int& mlpack::Timers::threadId’
  283. const std::thread::id& threadId = std::thread::id());
  284. ^
  285. /usr/local/include/mlpack/core/util/timers.hpp:149:69: error: expected unqualified-id before ‘)’ token
  286. const std::thread::id& threadId = std::thread::id());
  287. ^
  288. /usr/local/include/mlpack/core/util/timers.hpp:158:28: error: ‘thread’ in namespace ‘std’ does not name a type
  289. const std::thread::id& threadId = std::thread::id());
  290. ^
  291. /usr/local/include/mlpack/core/util/timers.hpp:158:38: error: expected unqualified-id before ‘&’ token
  292. const std::thread::id& threadId = std::thread::id());
  293. ^
  294. /usr/local/include/mlpack/core/util/timers.hpp:158:38: error: expected ‘)’ before ‘&’ token
  295. /usr/local/include/mlpack/core/util/timers.hpp:158:36: error: expected ‘;’ at end of member declaration
  296. const std::thread::id& threadId = std::thread::id());
  297. ^
  298. /usr/local/include/mlpack/core/util/timers.hpp:158:67: error: expected ‘;’ at end of member declaration
  299. const std::thread::id& threadId = std::thread::id());
  300. ^
  301. /usr/local/include/mlpack/core/util/timers.hpp:158:67: error: redeclaration of ‘int& mlpack::Timers::threadId’
  302. /usr/local/include/mlpack/core/util/timers.hpp:140:69: note: previous declaration ‘int& mlpack::Timers::threadId’
  303. const std::thread::id& threadId = std::thread::id());
  304. ^
  305. /usr/local/include/mlpack/core/util/timers.hpp:158:68: error: expected unqualified-id before ‘)’ token
  306. const std::thread::id& threadId = std::thread::id());
  307. ^
  308. /usr/local/include/mlpack/core/util/timers.hpp:166:8: error: ‘atomic’ in namespace ‘std’ does not name a template type
  309. std::atomic<bool>& Enabled() { return enabled; }
  310. ^
  311. /usr/local/include/mlpack/core/util/timers.hpp:172:25: error: ‘chrono’ is not a member of ‘std’
  312. std::map<std::string, std::chrono::microseconds> timers;
  313. ^
  314. /usr/local/include/mlpack/core/util/timers.hpp:172:25: error: ‘chrono’ is not a member of ‘std’
  315. /usr/local/include/mlpack/core/util/timers.hpp:172:50: error: template argument 2 is invalid
  316. std::map<std::string, std::chrono::microseconds> timers;
  317. ^
  318. /usr/local/include/mlpack/core/util/timers.hpp:172:50: error: template argument 4 is invalid
  319. /usr/local/include/mlpack/core/util/timers.hpp:174:8: error: ‘mutex’ in namespace ‘std’ does not name a type
  320. std::mutex timersMutex;
  321. ^
  322. /usr/local/include/mlpack/core/util/timers.hpp:176:12: error: ‘thread’ is not a member of ‘std’
  323. std::map<std::thread::id, std::map<std::string,
  324. ^
  325. /usr/local/include/mlpack/core/util/timers.hpp:176:12: error: ‘thread’ is not a member of ‘std’
  326. /usr/local/include/mlpack/core/util/timers.hpp:177:56: error: wrong number of template arguments (1, should be at least 2)
  327. std::chrono::high_resolution_clock::time_point>> timerStartTime;
  328. ^
  329. In file included from /usr/include/c++/5/map:61:0,
  330. from /usr/local/include/essentia/types.h:23,
  331. from /usr/local/include/essentia/essentia.h:24,
  332. from streamin_extractor_music.cpp:24:
  333. /usr/include/c++/5/bits/stl_map.h:96:11: note: provided for ‘template<class _Key, class _Tp, class _Compare, class _Alloc> class std::map’
  334. class map
  335. ^
  336. In file included from /usr/local/include/mlpack/prereqs.hpp:117:0,
  337. from /usr/local/include/mlpack/core.hpp:253,
  338. from streamin_extractor_music.cpp:32:
  339. /usr/local/include/mlpack/core/util/timers.hpp:180:8: error: ‘atomic’ in namespace ‘std’ does not name a template type
  340. std::atomic<bool> enabled;
  341. ^
  342. /usr/local/include/mlpack/core/util/timers.hpp:140:58: error: ‘std::thread’ has not been declared
  343. const std::thread::id& threadId = std::thread::id());
  344. ^
  345. /usr/local/include/mlpack/core/util/timers.hpp:149:57: error: ‘std::thread’ has not been declared
  346. const std::thread::id& threadId = std::thread::id());
  347. ^
  348. /usr/local/include/mlpack/core/util/timers.hpp:158:56: error: ‘std::thread’ has not been declared
  349. const std::thread::id& threadId = std::thread::id());
  350. ^
  351. /usr/local/include/mlpack/core/util/timers.hpp: In constructor ‘mlpack::Timers::Timers()’:
  352. /usr/local/include/mlpack/core/util/timers.hpp:101:14: error: class ‘mlpack::Timers’ does not have any field named ‘enabled’
  353. Timers() : enabled(false) { }
  354. ^
  355. /usr/local/include/mlpack/core/util/timers.hpp: In member function ‘bool mlpack::Timers::Enabled() const’:
  356. /usr/local/include/mlpack/core/util/timers.hpp:168:33: error: ‘enabled’ was not declared in this scope
  357. bool Enabled() const { return enabled; }
  358. ^
  359. In file included from /usr/local/include/mlpack/core/util/cli.hpp:27:0,
  360. from /usr/local/include/mlpack/core.hpp:258,
  361. from streamin_extractor_music.cpp:32:
  362. /usr/local/include/mlpack/core/util/program_doc.hpp: At global scope:
  363. /usr/local/include/mlpack/core/util/program_doc.hpp:41:25: error: ‘function’ in namespace ‘std’ does not name a template type
  364. const std::function<std::string()>& documentation);
  365. ^
  366. /usr/local/include/mlpack/core/util/program_doc.hpp:41:33: error: expected ‘,’ or ‘...’ before ‘<’ token
  367. const std::function<std::string()>& documentation);
  368. ^
  369. /usr/local/include/mlpack/core/util/program_doc.hpp:46:8: error: ‘function’ in namespace ‘std’ does not name a template type
  370. std::function<std::string()> documentation;
  371. ^
  372. In file included from /usr/local/include/mlpack/core/util/cli.hpp:30:0,
  373. from /usr/local/include/mlpack/core.hpp:258,
  374. from streamin_extractor_music.cpp:32:
  375. /usr/local/include/mlpack/core/util/param_data.hpp:32:7: error: expected nested-name-specifier before ‘DatasetInfo’
  376. using DatasetInfo = DatasetMapper<IncrementPolicy, std::string>;
  377. ^
  378. In file included from /usr/local/include/mlpack/core.hpp:258:0,
  379. from streamin_extractor_music.cpp:32:
  380. /usr/local/include/mlpack/core/util/cli.hpp:175:34: error: expected ‘,’ or ‘...’ before ‘&&’ token
  381. static void Add(util::ParamData&& d);
  382. ^
  383. /usr/local/include/mlpack/core/util/cli.hpp:289:13: error: ‘*’ cannot appear in a constant-expression
  384. void (*)(const util::ParamData&, const void*, void*)>> FunctionMapType;
  385. ^
  386. /usr/local/include/mlpack/core/util/cli.hpp:289:59: error: ‘>>’ should be ‘> >’ within a nested template argument list
  387. void (*)(const util::ParamData&, const void*, void*)>> FunctionMapType;
  388. ^
  389. /usr/local/include/mlpack/core/util/cli.hpp:294:25: error: ‘tuple’ is not a member of ‘std’
  390. std::map<std::string, std::tuple<std::map<std::string, util::ParamData>,
  391. ^
  392. /usr/local/include/mlpack/core/util/cli.hpp:294:25: error: ‘tuple’ is not a member of ‘std’
  393. /usr/local/include/mlpack/core/util/cli.hpp:295:51: error: spurious ‘>>’, use ‘>’ to terminate a template argument list
  394. std::map<char, std::string>, FunctionMapType>> storageMap;
  395. ^
  396. /usr/local/include/mlpack/core/util/cli.hpp:295:51: error: template argument 2 is invalid
  397. In file included from /usr/local/include/mlpack/core/data/dataset_mapper.hpp:21:0,
  398. from /usr/local/include/mlpack/core/data/load.hpp:22,
  399. from /usr/local/include/mlpack/core/util/cli_impl.hpp:19,
  400. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  401. from /usr/local/include/mlpack/core.hpp:258,
  402. from streamin_extractor_music.cpp:32:
  403. /usr/local/include/mlpack/core/data/map_policies/increment_policy.hpp:40:9: error: expected nested-name-specifier before ‘MappedType’
  404. using MappedType = size_t;
  405. ^
  406. /usr/local/include/mlpack/core/data/map_policies/increment_policy.hpp: In member function ‘void mlpack::data::IncrementPolicy::MapFirstPass(const InputType&, size_t, std::vector<mlpack::data::Datatype>&)’:
  407. /usr/local/include/mlpack/core/data/map_policies/increment_policy.hpp:53:23: error: ‘Datatype’ is not a class or namespace
  408. if (types[dim] == Datatype::categorical)
  409. ^
  410. /usr/local/include/mlpack/core/data/map_policies/increment_policy.hpp:61:20: error: ‘Datatype’ is not a class or namespace
  411. types[dim] = Datatype::categorical;
  412. ^
  413. /usr/local/include/mlpack/core/data/map_policies/increment_policy.hpp:72:22: error: ‘Datatype’ is not a class or namespace
  414. types[dim] = Datatype::categorical;
  415. ^
  416. /usr/local/include/mlpack/core/data/map_policies/increment_policy.hpp: In member function ‘T mlpack::data::IncrementPolicy::MapString(const InputType&, size_t, MapType&, std::vector<mlpack::data::Datatype>&)’:
  417. /usr/local/include/mlpack/core/data/map_policies/increment_policy.hpp:96:29: error: ‘Datatype’ is not a class or namespace
  418. if (types[dimension] == Datatype::numeric && !forceAllMappings)
  419. ^
  420. /usr/local/include/mlpack/core/data/map_policies/increment_policy.hpp:123:28: error: ‘Datatype’ is not a class or namespace
  421. types[dimension] = Datatype::categorical;
  422. ^
  423. /usr/local/include/mlpack/core/data/map_policies/increment_policy.hpp:125:45: error: ‘MappedType’ was not declared in this scope
  424. typedef typename std::pair<InputType, MappedType> PairType;
  425. ^
  426. /usr/local/include/mlpack/core/data/map_policies/increment_policy.hpp:125:55: error: template argument 2 is invalid
  427. typedef typename std::pair<InputType, MappedType> PairType;
  428. ^
  429. /usr/local/include/mlpack/core/data/map_policies/increment_policy.hpp:125:57: error: ‘PairType’ in namespace ‘std’ does not name a type
  430. typedef typename std::pair<InputType, MappedType> PairType;
  431. ^
  432. In file included from /usr/local/include/mlpack/core/data/load.hpp:22:0,
  433. from /usr/local/include/mlpack/core/util/cli_impl.hpp:19,
  434. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  435. from /usr/local/include/mlpack/core.hpp:258,
  436. from streamin_extractor_music.cpp:32:
  437. /usr/local/include/mlpack/core/data/dataset_mapper.hpp: At global scope:
  438. /usr/local/include/mlpack/core/data/dataset_mapper.hpp:158:25: error: expected ‘,’ or ‘...’ before ‘&&’ token
  439. void Policy(PolicyType&& policy);
  440. ^
  441. /usr/local/include/mlpack/core/data/dataset_mapper.hpp:165:9: error: expected nested-name-specifier before ‘ForwardMapType’
  442. using ForwardMapType = typename std::unordered_map<InputType, typename
  443. ^
  444. /usr/local/include/mlpack/core/data/dataset_mapper.hpp:170:9: error: expected nested-name-specifier before ‘ReverseMapType’
  445. using ReverseMapType = std::unordered_map<typename PolicyType::MappedType,
  446. ^
  447. /usr/local/include/mlpack/core/data/dataset_mapper.hpp:176:9: error: expected nested-name-specifier before ‘MapType’
  448. using MapType = std::unordered_map<size_t, std::pair<ForwardMapType,
  449. ^
  450. /usr/local/include/mlpack/core/data/dataset_mapper.hpp:180:3: error: ‘MapType’ does not name a type
  451. MapType maps;
  452. ^
  453. In file included from /usr/include/boost/serialization/map.hpp:26:0,
  454. from /usr/local/include/mlpack/prereqs.hpp:79,
  455. from /usr/local/include/mlpack/core.hpp:253,
  456. from streamin_extractor_music.cpp:32:
  457. /usr/local/include/mlpack/core/data/dataset_mapper.hpp: In member function ‘void mlpack::data::DatasetMapper<PolicyType, InputType>::serialize(Archive&, unsigned int)’:
  458. /usr/local/include/mlpack/core/data/dataset_mapper.hpp:149:10: error: ‘maps’ was not declared in this scope
  459. ar & BOOST_SERIALIZATION_NVP(maps);
  460. ^
  461. In file included from /usr/local/include/mlpack/core/data/load.hpp:22:0,
  462. from /usr/local/include/mlpack/core/util/cli_impl.hpp:19,
  463. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  464. from /usr/local/include/mlpack/core.hpp:258,
  465. from streamin_extractor_music.cpp:32:
  466. /usr/local/include/mlpack/core/data/dataset_mapper.hpp: At global scope:
  467. /usr/local/include/mlpack/core/data/dataset_mapper.hpp:188:7: error: expected nested-name-specifier before ‘DatasetInfo’
  468. using DatasetInfo = DatasetMapper<data::IncrementPolicy>;
  469. ^
  470. In file included from /usr/local/include/mlpack/core/data/dataset_mapper.hpp:193:0,
  471. from /usr/local/include/mlpack/core/data/load.hpp:22,
  472. from /usr/local/include/mlpack/core/util/cli_impl.hpp:19,
  473. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  474. from /usr/local/include/mlpack/core.hpp:258,
  475. from streamin_extractor_music.cpp:32:
  476. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp: In constructor ‘mlpack::data::DatasetMapper<PolicyType, InputType>::DatasetMapper(size_t)’:
  477. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:26:27: error: ‘Datatype’ is not a class or namespace
  478. types(dimensionality, Datatype::numeric)
  479. ^
  480. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp: In constructor ‘mlpack::data::DatasetMapper<PolicyType, InputType>::DatasetMapper(PolicyType&, size_t)’:
  481. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:34:27: error: ‘Datatype’ is not a class or namespace
  482. types(dimensionality, Datatype::numeric),
  483. ^
  484. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:35:12: error: ‘move’ is not a member of ‘std’
  485. policy(std::move(policy))
  486. ^
  487. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp: At global scope:
  488. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:47:25: error: ‘enable_if’ in namespace ‘std’ does not name a template type
  489. const typename std::enable_if<PolicyType::NeedsFirstPass>::type* = 0)
  490. ^
  491. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:47:34: error: expected ‘,’ or ‘...’ before ‘<’ token
  492. const typename std::enable_if<PolicyType::NeedsFirstPass>::type* = 0)
  493. ^
  494. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:59:25: error: ‘enable_if’ in namespace ‘std’ does not name a template type
  495. const typename std::enable_if<!PolicyType::NeedsFirstPass>::type* = 0)
  496. ^
  497. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:59:34: error: expected ‘,’ or ‘...’ before ‘<’ token
  498. const typename std::enable_if<!PolicyType::NeedsFirstPass>::type* = 0)
  499. ^
  500. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:54:6: error: redefinition of ‘template<class PolicyType, class InputType, class T> void mlpack::data::CallMapFirstPass(PolicyType&, const InputType&, size_t, std::vector<mlpack::data::Datatype>&, int)’
  501. void CallMapFirstPass(
  502. ^
  503. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:42:6: note: ‘template<class PolicyType, class InputType, class T> void mlpack::data::CallMapFirstPass(PolicyType&, const InputType&, size_t, std::vector<mlpack::data::Datatype>&, int)’ previously declared here
  504. void CallMapFirstPass(
  505. ^
  506. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp: In member function ‘T mlpack::data::DatasetMapper<PolicyType, InputType>::MapString(const InputType&, size_t)’:
  507. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:81:36: error: ‘MapType’ was not declared in this scope
  508. return policy.template MapString<MapType, T>(input, dimension, maps, types);
  509. ^
  510. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:81:66: error: ‘maps’ was not declared in this scope
  511. return policy.template MapString<MapType, T>(input, dimension, maps, types);
  512. ^
  513. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp: In member function ‘const InputType& mlpack::data::DatasetMapper<PolicyType, InputType>::UnmapString(T, size_t, size_t) const’:
  514. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:125:7: error: ‘nexttoward’ is not a member of ‘std’
  515. std::nexttoward(std::numeric_limits<T>::max(), T(0)) :
  516. ^
  517. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:125:7: note: suggested alternatives:
  518. In file included from /usr/include/features.h:367:0,
  519. from /usr/include/x86_64-linux-gnu/c++/5/bits/os_defines.h:39,
  520. from /usr/include/x86_64-linux-gnu/c++/5/bits/c++config.h:482,
  521. from /usr/include/c++/5/bits/stl_algobase.h:59,
  522. from /usr/include/c++/5/bits/stl_tree.h:63,
  523. from /usr/include/c++/5/map:60,
  524. from /usr/local/include/essentia/types.h:23,
  525. from /usr/local/include/essentia/essentia.h:24,
  526. from streamin_extractor_music.cpp:24:
  527. /usr/include/x86_64-linux-gnu/bits/mathcalls.h:294:1: note: ‘nexttoward’
  528. __MATHCALLX (nexttoward,, (_Mdouble_ __x, long double __y), (__const__));
  529. ^
  530. In file included from /usr/include/armadillo:76:0,
  531. from /usr/local/include/mlpack/core/arma_extend/arma_extend.hpp:52,
  532. from /usr/local/include/mlpack/prereqs.hpp:108,
  533. from /usr/local/include/mlpack/core.hpp:253,
  534. from streamin_extractor_music.cpp:32:
  535. /usr/include/c++/5/tr1/cmath:900:5: note: ‘std::tr1::nexttoward’
  536. nexttoward(_Tp __x, long double __y)
  537. ^
  538. In file included from /usr/local/include/mlpack/core/data/dataset_mapper.hpp:193:0,
  539. from /usr/local/include/mlpack/core/data/load.hpp:22,
  540. from /usr/local/include/mlpack/core/util/cli_impl.hpp:19,
  541. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  542. from /usr/local/include/mlpack/core.hpp:258,
  543. from streamin_extractor_music.cpp:32:
  544. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:129:7: error: ‘maps’ was not declared in this scope
  545. if (maps.at(dimension).second.count(usedValue) == 0)
  546. ^
  547. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:137:25: error: ‘maps’ was not declared in this scope
  548. if (unmappingIndex >= maps.at(dimension).second.at(usedValue).size())
  549. ^
  550. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:147:10: error: ‘maps’ was not declared in this scope
  551. return maps.at(dimension).second.at(usedValue)[unmappingIndex];
  552. ^
  553. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp: In member function ‘size_t mlpack::data::DatasetMapper<PolicyType, InputType>::NumUnmappings(T, size_t) const’:
  554. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:160:24: error: ‘nexttoward’ is not a member of ‘std’
  555. const T newValue = std::nexttoward(std::numeric_limits<T>::max(), T(0));
  556. ^
  557. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:160:24: note: suggested alternatives:
  558. In file included from /usr/include/features.h:367:0,
  559. from /usr/include/x86_64-linux-gnu/c++/5/bits/os_defines.h:39,
  560. from /usr/include/x86_64-linux-gnu/c++/5/bits/c++config.h:482,
  561. from /usr/include/c++/5/bits/stl_algobase.h:59,
  562. from /usr/include/c++/5/bits/stl_tree.h:63,
  563. from /usr/include/c++/5/map:60,
  564. from /usr/local/include/essentia/types.h:23,
  565. from /usr/local/include/essentia/essentia.h:24,
  566. from streamin_extractor_music.cpp:24:
  567. /usr/include/x86_64-linux-gnu/bits/mathcalls.h:294:1: note: ‘nexttoward’
  568. __MATHCALLX (nexttoward,, (_Mdouble_ __x, long double __y), (__const__));
  569. ^
  570. In file included from /usr/include/armadillo:76:0,
  571. from /usr/local/include/mlpack/core/arma_extend/arma_extend.hpp:52,
  572. from /usr/local/include/mlpack/prereqs.hpp:108,
  573. from /usr/local/include/mlpack/core.hpp:253,
  574. from streamin_extractor_music.cpp:32:
  575. /usr/include/c++/5/tr1/cmath:900:5: note: ‘std::tr1::nexttoward’
  576. nexttoward(_Tp __x, long double __y)
  577. ^
  578. In file included from /usr/local/include/mlpack/core/data/dataset_mapper.hpp:193:0,
  579. from /usr/local/include/mlpack/core/data/load.hpp:22,
  580. from /usr/local/include/mlpack/core/util/cli_impl.hpp:19,
  581. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  582. from /usr/local/include/mlpack/core.hpp:258,
  583. from streamin_extractor_music.cpp:32:
  584. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:161:12: error: ‘maps’ was not declared in this scope
  585. return maps.at(dimension).second.at(newValue).size();
  586. ^
  587. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:164:10: error: ‘maps’ was not declared in this scope
  588. return maps.at(dimension).second.at(value).size();
  589. ^
  590. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp: In member function ‘typename PolicyType::MappedType mlpack::data::DatasetMapper<PolicyType, InputType>::UnmapValue(const InputType&, size_t)’:
  591. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:175:7: error: ‘maps’ was not declared in this scope
  592. if (maps[dimension].first.count(input) == 0)
  593. ^
  594. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:183:10: error: ‘maps’ was not declared in this scope
  595. return maps[dimension].first.at(input);
  596. ^
  597. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp: In member function ‘mlpack::data::Datatype& mlpack::data::DatasetMapper<PolicyType, InputType>::Type(size_t)’:
  598. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:207:33: error: ‘Datatype’ is not a class or namespace
  599. types.resize(dimension + 1, Datatype::numeric);
  600. ^
  601. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp: In member function ‘size_t mlpack::data::DatasetMapper<PolicyType, InputType>::NumMappings(size_t) const’:
  602. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:216:11: error: ‘maps’ was not declared in this scope
  603. return (maps.count(dimension) == 0) ? 0 : maps.at(dimension).first.size();
  604. ^
  605. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp: At global scope:
  606. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:238:68: error: expected ‘,’ or ‘...’ before ‘&&’ token
  607. inline void DatasetMapper<PolicyType, InputType>::Policy(PolicyType&& policy)
  608. ^
  609. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp: In member function ‘void mlpack::data::DatasetMapper<PolicyType, InputType>::Policy(PolicyType)’:
  610. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:240:18: error: ‘forward’ is not a member of ‘std’
  611. this->policy = std::forward<PolicyType>(policy);
  612. ^
  613. /usr/local/include/mlpack/core/data/dataset_mapper_impl.hpp:240:41: error: expected primary-expression before ‘>’ token
  614. this->policy = std::forward<PolicyType>(policy);
  615. ^
  616. In file included from /usr/local/include/mlpack/core/util/cli_impl.hpp:19:0,
  617. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  618. from /usr/local/include/mlpack/core.hpp:258,
  619. from streamin_extractor_music.cpp:32:
  620. /usr/local/include/mlpack/core/data/load.hpp: At global scope:
  621. /usr/local/include/mlpack/core/data/load.hpp:288:22: error: ‘format’ is not a class or namespace
  622. format f = format::autodetect);
  623. ^
  624. In file included from /usr/local/include/mlpack/core/data/load.hpp:294:0,
  625. from /usr/local/include/mlpack/core/util/cli_impl.hpp:19,
  626. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  627. from /usr/local/include/mlpack/core.hpp:258,
  628. from streamin_extractor_music.cpp:32:
  629. /usr/local/include/mlpack/core/data/load_model_impl.hpp: In function ‘bool mlpack::data::Load(const string&, const string&, T&, bool, mlpack::data::format)’:
  630. /usr/local/include/mlpack/core/data/load_model_impl.hpp:42:12: error: ‘format’ is not a class or namespace
  631. if (f == format::autodetect)
  632. ^
  633. /usr/local/include/mlpack/core/data/load_model_impl.hpp:47:11: error: ‘format’ is not a class or namespace
  634. f = format::xml;
  635. ^
  636. /usr/local/include/mlpack/core/data/load_model_impl.hpp:49:11: error: ‘format’ is not a class or namespace
  637. f = format::binary;
  638. ^
  639. /usr/local/include/mlpack/core/data/load_model_impl.hpp:51:11: error: ‘format’ is not a class or namespace
  640. f = format::text;
  641. ^
  642. /usr/local/include/mlpack/core/data/load_model_impl.hpp:73:39: error: no matching function for call to ‘std::basic_ifstream<char>::open(const string&, const openmode&)’
  643. ifs.open(filename, std::ifstream::in);
  644. ^
  645. In file included from /usr/include/armadillo:23:0,
  646. from /usr/local/include/mlpack/core/arma_extend/arma_extend.hpp:52,
  647. from /usr/local/include/mlpack/prereqs.hpp:108,
  648. from /usr/local/include/mlpack/core.hpp:253,
  649. from streamin_extractor_music.cpp:32:
  650. /usr/include/c++/5/fstream:595:7: note: candidate: void std::basic_ifstream<_CharT, _Traits>::open(const char*, std::ios_base::openmode) [with _CharT = char; _Traits = std::char_traits<char>; std::ios_base::openmode = std::_Ios_Openmode]
  651. open(const char* __s, ios_base::openmode __mode = ios_base::in)
  652. ^
  653. /usr/include/c++/5/fstream:595:7: note: no known conversion for argument 1 from ‘const string {aka const std::__cxx11::basic_string<char>}’ to ‘const char*’
  654. In file included from /usr/local/include/mlpack/core/data/load.hpp:294:0,
  655. from /usr/local/include/mlpack/core/util/cli_impl.hpp:19,
  656. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  657. from /usr/local/include/mlpack/core.hpp:258,
  658. from streamin_extractor_music.cpp:32:
  659. /usr/local/include/mlpack/core/data/load_model_impl.hpp:90:14: error: ‘format’ is not a class or namespace
  660. if (f == format::xml)
  661. ^
  662. /usr/local/include/mlpack/core/data/load_model_impl.hpp:95:19: error: ‘format’ is not a class or namespace
  663. else if (f == format::text)
  664. ^
  665. /usr/local/include/mlpack/core/data/load_model_impl.hpp:100:19: error: ‘format’ is not a class or namespace
  666. else if (f == format::binary)
  667. ^
  668. In file included from /usr/local/include/mlpack/core/data/load.hpp:296:0,
  669. from /usr/local/include/mlpack/core/util/cli_impl.hpp:19,
  670. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  671. from /usr/local/include/mlpack/core.hpp:258,
  672. from streamin_extractor_music.cpp:32:
  673. /usr/local/include/mlpack/core/data/load_vec_impl.hpp: In function ‘bool mlpack::data::Load(const string&, arma::Col<eT>&, bool)’:
  674. /usr/local/include/mlpack/core/data/load_vec_impl.hpp:73:34: error: ‘move’ is not a member of ‘std’
  675. *((arma::Mat<eT>*) &vec) = std::move(tmp);
  676. ^
  677. /usr/local/include/mlpack/core/data/load_vec_impl.hpp:81:32: error: ‘move’ is not a member of ‘std’
  678. *((arma::Mat<eT>*) &vec) = std::move(tmp);
  679. ^
  680. /usr/local/include/mlpack/core/data/load_vec_impl.hpp: In function ‘bool mlpack::data::Load(const string&, arma::Row<eT>&, bool)’:
  681. /usr/local/include/mlpack/core/data/load_vec_impl.hpp:135:37: error: ‘move’ is not a member of ‘std’
  682. *((arma::Mat<eT>*) &rowvec) = std::move(tmp);
  683. ^
  684. /usr/local/include/mlpack/core/data/load_vec_impl.hpp:142:35: error: ‘move’ is not a member of ‘std’
  685. *((arma::Mat<eT>*) &rowvec) = std::move(tmp);
  686. ^
  687. In file included from /usr/local/include/mlpack/core/util/cli_impl.hpp:20:0,
  688. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  689. from /usr/local/include/mlpack/core.hpp:258,
  690. from streamin_extractor_music.cpp:32:
  691. /usr/local/include/mlpack/core/data/save.hpp: At global scope:
  692. /usr/local/include/mlpack/core/data/save.hpp:91:22: error: ‘format’ is not a class or namespace
  693. format f = format::autodetect);
  694. ^
  695. In file included from /usr/local/include/mlpack/core/data/save.hpp:97:0,
  696. from /usr/local/include/mlpack/core/util/cli_impl.hpp:20,
  697. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  698. from /usr/local/include/mlpack/core.hpp:258,
  699. from streamin_extractor_music.cpp:32:
  700. /usr/local/include/mlpack/core/data/save_impl.hpp: In function ‘bool mlpack::data::Save(const string&, const string&, T&, bool, mlpack::data::format)’:
  701. /usr/local/include/mlpack/core/data/save_impl.hpp:208:12: error: ‘format’ is not a class or namespace
  702. if (f == format::autodetect)
  703. ^
  704. /usr/local/include/mlpack/core/data/save_impl.hpp:213:11: error: ‘format’ is not a class or namespace
  705. f = format::xml;
  706. ^
  707. /usr/local/include/mlpack/core/data/save_impl.hpp:215:11: error: ‘format’ is not a class or namespace
  708. f = format::binary;
  709. ^
  710. /usr/local/include/mlpack/core/data/save_impl.hpp:217:11: error: ‘format’ is not a class or namespace
  711. f = format::text;
  712. ^
  713. /usr/local/include/mlpack/core/data/save_impl.hpp:240:40: error: no matching function for call to ‘std::basic_ofstream<char>::open(const string&, const openmode&)’
  714. ofs.open(filename, std::ofstream::out);
  715. ^
  716. In file included from /usr/include/armadillo:23:0,
  717. from /usr/local/include/mlpack/core/arma_extend/arma_extend.hpp:52,
  718. from /usr/local/include/mlpack/prereqs.hpp:108,
  719. from /usr/local/include/mlpack/core.hpp:253,
  720. from streamin_extractor_music.cpp:32:
  721. /usr/include/c++/5/fstream:799:7: note: candidate: void std::basic_ofstream<_CharT, _Traits>::open(const char*, std::ios_base::openmode) [with _CharT = char; _Traits = std::char_traits<char>; std::ios_base::openmode = std::_Ios_Openmode]
  722. open(const char* __s,
  723. ^
  724. /usr/include/c++/5/fstream:799:7: note: no known conversion for argument 1 from ‘const string {aka const std::__cxx11::basic_string<char>}’ to ‘const char*’
  725. In file included from /usr/local/include/mlpack/core/data/save.hpp:97:0,
  726. from /usr/local/include/mlpack/core/util/cli_impl.hpp:20,
  727. from /usr/local/include/mlpack/core/util/cli.hpp:329,
  728. from /usr/local/include/mlpack/core.hpp:258,
  729. from streamin_extractor_music.cpp:32:
  730. /usr/local/include/mlpack/core/data/save_impl.hpp:257:14: error: ‘format’ is not a class or namespace
  731. if (f == format::xml)
  732. ^
  733. /usr/local/include/mlpack/core/data/save_impl.hpp:262:19: error: ‘format’ is not a class or namespace
  734. else if (f == format::text)
  735. ^
  736. /usr/local/include/mlpack/core/data/save_impl.hpp:267:19: error: ‘format’ is not a class or namespace
  737. else if (f == format::binary)
  738. ^
  739. In file included from /usr/local/include/mlpack/core.hpp:264:0,
  740. from streamin_extractor_music.cpp:32:
  741. /usr/local/include/mlpack/core/math/random.hpp: At global scope:
  742. /usr/local/include/mlpack/core/math/random.hpp:27:27: error: ‘mt19937’ in namespace ‘std’ does not name a type
  743. extern MLPACK_EXPORT std::mt19937 randGen;
  744. ^
  745. /usr/local/include/mlpack/core/math/random.hpp:29:27: error: ‘uniform_real_distribution’ in namespace ‘std’ does not name a template type
  746. extern MLPACK_EXPORT std::uniform_real_distribution<> randUniformDist;
  747. ^
  748. /usr/local/include/mlpack/core/math/random.hpp:31:27: error: ‘normal_distribution’ in namespace ‘std’ does not name a template type
  749. extern MLPACK_EXPORT std::normal_distribution<> randNormalDist;
  750. ^
  751. /usr/local/include/mlpack/core/math/random.hpp: In function ‘void mlpack::math::FixedRandomSeed()’:
  752. /usr/local/include/mlpack/core/math/random.hpp:62:3: error: ‘randGen’ was not declared in this scope
  753. randGen.seed((uint32_t) seed);
  754. ^
  755. /usr/local/include/mlpack/core/math/random.hpp: In function ‘double mlpack::math::Random()’:
  756. /usr/local/include/mlpack/core/math/random.hpp:73:26: error: ‘randGen’ was not declared in this scope
  757. return randUniformDist(randGen);
  758. ^
  759. /usr/local/include/mlpack/core/math/random.hpp:73:33: error: ‘randUniformDist’ was not declared in this scope
  760. return randUniformDist(randGen);
  761. ^
  762. /usr/local/include/mlpack/core/math/random.hpp: In function ‘double mlpack::math::Random(double, double)’:
  763. /usr/local/include/mlpack/core/math/random.hpp:81:43: error: ‘randGen’ was not declared in this scope
  764. return lo + (hi - lo) * randUniformDist(randGen);
  765. ^
  766. /usr/local/include/mlpack/core/math/random.hpp:81:50: error: ‘randUniformDist’ was not declared in this scope
  767. return lo + (hi - lo) * randUniformDist(randGen);
  768. ^
  769. /usr/local/include/mlpack/core/math/random.hpp: In function ‘int mlpack::math::RandInt(int)’:
  770. /usr/local/include/mlpack/core/math/random.hpp:89:66: error: ‘randGen’ was not declared in this scope
  771. return (int) std::floor((double) hiExclusive * randUniformDist(randGen));
  772. ^
  773. /usr/local/include/mlpack/core/math/random.hpp:89:73: error: ‘randUniformDist’ was not declared in this scope
  774. return (int) std::floor((double) hiExclusive * randUniformDist(randGen));
  775. ^
  776. /usr/local/include/mlpack/core/math/random.hpp: In function ‘int mlpack::math::RandInt(int, int)’:
  777. /usr/local/include/mlpack/core/math/random.hpp:98:50: error: ‘randGen’ was not declared in this scope
  778. * randUniformDist(randGen));
  779. ^
  780. /usr/local/include/mlpack/core/math/random.hpp:98:57: error: ‘randUniformDist’ was not declared in this scope
  781. * randUniformDist(randGen));
  782. ^
  783. /usr/local/include/mlpack/core/math/random.hpp: In function ‘double mlpack::math::RandNormal()’:
  784. /usr/local/include/mlpack/core/math/random.hpp:106:25: error: ‘randGen’ was not declared in this scope
  785. return randNormalDist(randGen);
  786. ^
  787. /usr/local/include/mlpack/core/math/random.hpp:106:32: error: ‘randNormalDist’ was not declared in this scope
  788. return randNormalDist(randGen);
  789. ^
  790. /usr/local/include/mlpack/core/math/random.hpp: In function ‘double mlpack::math::RandNormal(double, double)’:
  791. /usr/local/include/mlpack/core/math/random.hpp:118:36: error: ‘randGen’ was not declared in this scope
  792. return variance * randNormalDist(randGen) + mean;
  793. ^
  794. /usr/local/include/mlpack/core/math/random.hpp:118:43: error: ‘randNormalDist’ was not declared in this scope
  795. return variance * randNormalDist(randGen) + mean;
  796. ^
  797. In file included from /usr/local/include/mlpack/core.hpp:269:0,
  798. from streamin_extractor_music.cpp:32:
  799. /usr/local/include/mlpack/core/math/shuffle_data.hpp: At global scope:
  800. /usr/local/include/mlpack/core/math/shuffle_data.hpp:32:29: error: ‘enable_if_t’ in namespace ‘std’ does not name a template type
  801. const std::enable_if_t<!arma::is_SpMat<MatType>::value>* = 0,
  802. ^
  803. /usr/local/include/mlpack/core/math/shuffle_data.hpp:32:40: error: expected ‘,’ or ‘...’ before ‘<’ token
  804. const std::enable_if_t<!arma::is_SpMat<MatType>::value>* = 0,
  805. ^
  806. /usr/local/include/mlpack/core/math/shuffle_data.hpp:55:29: error: ‘enable_if_t’ in namespace ‘std’ does not name a template type
  807. const std::enable_if_t<arma::is_SpMat<MatType>::value>* = 0,
  808. ^
  809. /usr/local/include/mlpack/core/math/shuffle_data.hpp:55:40: error: expected ‘,’ or ‘...’ before ‘<’ token
  810. const std::enable_if_t<arma::is_SpMat<MatType>::value>* = 0,
  811. ^
  812. /usr/local/include/mlpack/core/math/shuffle_data.hpp:51:6: error: redefinition of ‘template<class MatType, class LabelsType> void mlpack::math::ShuffleData(const MatType&, const LabelsType&, MatType&, LabelsType&, int)’
  813. void ShuffleData(const MatType& inputPoints,
  814. ^
  815. /usr/local/include/mlpack/core/math/shuffle_data.hpp:28:6: note: ‘template<class MatType, class LabelsType> void mlpack::math::ShuffleData(const MatType&, const LabelsType&, MatType&, LabelsType&, int)’ previously declared here
  816. void ShuffleData(const MatType& inputPoints,
  817. ^
  818. /usr/local/include/mlpack/core/math/shuffle_data.hpp:107:29: error: ‘enable_if_t’ in namespace ‘std’ does not name a template type
  819. const std::enable_if_t<!arma::is_SpMat<MatType>::value>* = 0,
  820. ^
  821. /usr/local/include/mlpack/core/math/shuffle_data.hpp:107:40: error: expected ‘,’ or ‘...’ before ‘<’ token
  822. const std::enable_if_t<!arma::is_SpMat<MatType>::value>* = 0,
  823. ^
  824. /usr/local/include/mlpack/core/math/shuffle_data.hpp:103:6: error: redefinition of ‘template<class MatType, class LabelsType> void mlpack::math::ShuffleData(const MatType&, const LabelsType&, MatType&, LabelsType&, int)’
  825. void ShuffleData(const MatType& inputPoints,
  826. ^
  827. /usr/local/include/mlpack/core/math/shuffle_data.hpp:28:6: note: ‘template<class MatType, class LabelsType> void mlpack::math::ShuffleData(const MatType&, const LabelsType&, MatType&, LabelsType&, int)’ previously declared here
  828. void ShuffleData(const MatType& inputPoints,
  829. ^
  830. /usr/local/include/mlpack/core/math/shuffle_data.hpp:166:29: error: ‘enable_if_t’ in namespace ‘std’ does not name a template type
  831. const std::enable_if_t<!arma::is_SpMat<MatType>::value>* = 0,
  832. ^
  833. /usr/local/include/mlpack/core/math/shuffle_data.hpp:166:40: error: expected ‘,’ or ‘...’ before ‘<’ token
  834. const std::enable_if_t<!arma::is_SpMat<MatType>::value>* = 0,
  835. ^
  836. /usr/local/include/mlpack/core/math/shuffle_data.hpp:194:29: error: ‘enable_if_t’ in namespace ‘std’ does not name a template type
  837. const std::enable_if_t<arma::is_SpMat<MatType>::value>* = 0,
  838. ^
  839. /usr/local/include/mlpack/core/math/shuffle_data.hpp:194:40: error: expected ‘,’ or ‘...’ before ‘<’ token
  840. const std::enable_if_t<arma::is_SpMat<MatType>::value>* = 0,
  841. ^
  842. /usr/local/include/mlpack/core/math/shuffle_data.hpp:188:6: error: redefinition of ‘template<class MatType, class LabelsType, class WeightsType> void mlpack::math::ShuffleData(const MatType&, const LabelsType&, const WeightsType&, MatType&, LabelsType&, WeightsType&, int)’
  843. void ShuffleData(const MatType& inputPoints,
  844. ^
  845. /usr/local/include/mlpack/core/math/shuffle_data.hpp:160:6: note: ‘template<class MatType, class LabelsType, class WeightsType> void mlpack::math::ShuffleData(const MatType&, const LabelsType&, const WeightsType&, MatType&, LabelsType&, WeightsType&, int)’ previously declared here
  846. void ShuffleData(const MatType& inputPoints,
  847. ^
  848. In file included from /usr/local/include/mlpack/core.hpp:272:0,
  849. from streamin_extractor_music.cpp:32:
  850. /usr/local/include/mlpack/core/dists/gaussian_distribution.hpp:39:16: error: ‘constexpr’ does not name a type
  851. static const constexpr double log2pi = 1.83787706640934533908193770912475883;
  852. ^
  853. /usr/local/include/mlpack/core/dists/gaussian_distribution.hpp:39:16: note: C++11 ‘constexpr’ only available with -std=c++11 or -std=gnu++11
  854. /usr/local/include/mlpack/core/dists/gaussian_distribution.hpp:143:28: error: expected ‘,’ or ‘...’ before ‘&&’ token
  855. void Covariance(arma::mat&& covariance);
  856. ^
  857. /usr/local/include/mlpack/core/dists/gaussian_distribution.hpp: In member function ‘void mlpack::distribution::GaussianDistribution::LogProbability(const mat&, arma::vec&) const’:
  858. /usr/local/include/mlpack/core/dists/gaussian_distribution.hpp:193:33: error: ‘log2pi’ was not declared in this scope
  859. logProbabilities = -0.5 * k * log2pi - 0.5 * logDetCov + logExponents;
  860. ^
  861. In file included from /usr/local/include/mlpack/core.hpp:291:0,
  862. from streamin_extractor_music.cpp:32:
  863. /usr/local/include/mlpack/core/kernels/spherical_kernel.hpp: In member function ‘double mlpack::kernel::SphericalKernel::Normalizer(size_t) const’:
  864. /usr/local/include/mlpack/core/kernels/spherical_kernel.hpp:91:9: error: ‘tgamma’ is not a member of ‘std’
  865. std::tgamma(dimension / 2.0 + 1.0);
  866. ^
  867. /usr/local/include/mlpack/core/kernels/spherical_kernel.hpp:91:9: note: suggested alternatives:
  868. In file included from /usr/include/features.h:367:0,
  869. from /usr/include/x86_64-linux-gnu/c++/5/bits/os_defines.h:39,
  870. from /usr/include/x86_64-linux-gnu/c++/5/bits/c++config.h:482,
  871. from /usr/include/c++/5/bits/stl_algobase.h:59,
  872. from /usr/include/c++/5/bits/stl_tree.h:63,
  873. from /usr/include/c++/5/map:60,
  874. from /usr/local/include/essentia/types.h:23,
  875. from /usr/local/include/essentia/essentia.h:24,
  876. from streamin_extractor_music.cpp:24:
  877. /usr/include/x86_64-linux-gnu/bits/mathcalls.h:268:1: note: ‘tgamma’
  878. __MATHCALL (tgamma,, (_Mdouble_));
  879. ^
  880. In file included from /usr/include/armadillo:76:0,
  881. from /usr/local/include/mlpack/core/arma_extend/arma_extend.hpp:52,
  882. from /usr/local/include/mlpack/prereqs.hpp:108,
  883. from /usr/local/include/mlpack/core.hpp:253,
  884. from streamin_extractor_music.cpp:32:
  885. /usr/include/c++/5/tr1/cmath:1022:5: note: ‘std::tr1::tgamma’
  886. tgamma(_Tp __x)
  887. ^
  888. In file included from /usr/local/include/mlpack/core/kernels/spherical_kernel.hpp:13:0,
  889. from /usr/local/include/mlpack/core.hpp:291,
  890. from streamin_extractor_music.cpp:32:
  891. /usr/include/boost/math/special_functions/gamma.hpp:1854:4: note: ‘boost::math::tgamma’
  892. tgamma(T1 a, T2 z, const Policy& pol)
  893. ^
  894. /usr/include/boost/math/special_functions/gamma.hpp:1757:4: note: ‘boost::math::detail::tgamma’
  895. tgamma(T1 a, T2 z, const mpl::false_ tag)
  896. ^
  897. In file included from /usr/local/include/mlpack/methods/decision_tree/all_categorical_split.hpp:95:0,
  898. from /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:19,
  899. from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15,
  900. from streamin_extractor_music.cpp:33:
  901. /usr/local/include/mlpack/methods/decision_tree/all_categorical_split_impl.hpp: In static member function ‘static double mlpack::tree::AllCategoricalSplit<FitnessFunction>::SplitIfBetter(double, const VecType&, size_t, const arma::Row<long unsigned int>&, size_t, const WeightVecType&, size_t, double, arma::Col<typename VecType::elem_type>&, mlpack::tree::AllCategoricalSplit<FitnessFunction>::AuxiliarySplitInfo<typename VecType::elem_type>&)’:
  902. /usr/local/include/mlpack/methods/decision_tree/all_categorical_split_impl.hpp:61:31: error: ‘>>’ should be ‘> >’ within a nested template argument list
  903. std::vector<arma::Row<size_t>> childLabels(numCategories);
  904. ^
  905. /usr/local/include/mlpack/methods/decision_tree/all_categorical_split_impl.hpp:62:31: error: ‘>>’ should be ‘> >’ within a nested template argument list
  906. std::vector<arma::Row<double>> childWeights(numCategories);
  907. ^
  908. In file included from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15:0,
  909. from streamin_extractor_music.cpp:33:
  910. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp: At global scope:
  911. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:67:23: error: expected ‘,’ or ‘...’ before ‘&&’ token
  912. DecisionTree(MatType&& data,
  913. ^
  914. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:87:23: error: expected ‘,’ or ‘...’ before ‘&&’ token
  915. DecisionTree(MatType&& data,
  916. ^
  917. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:87:3: error: ‘template<class FitnessFunction, template<class> class NumericSplitType, template<class> class CategoricalSplitType, class DimensionSelectionType, class ElemType, bool NoRecursion> template<class MatType, class LabelsType> mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)’ cannot be overloaded
  918. DecisionTree(MatType&& data,
  919. ^
  920. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:67:3: error: with ‘template<class FitnessFunction, template<class> class NumericSplitType, template<class> class CategoricalSplitType, class DimensionSelectionType, class ElemType, bool NoRecursion> template<class MatType, class LabelsType> mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)’
  921. DecisionTree(MatType&& data,
  922. ^
  923. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:108:23: error: expected ‘,’ or ‘...’ before ‘&&’ token
  924. DecisionTree(MatType&& data,
  925. ^
  926. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:133:23: error: expected ‘,’ or ‘...’ before ‘&&’ token
  927. DecisionTree(MatType&& data,
  928. ^
  929. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:133:3: error: ‘template<class FitnessFunction, template<class> class NumericSplitType, template<class> class CategoricalSplitType, class DimensionSelectionType, class ElemType, bool NoRecursion> template<class MatType, class LabelsType, class WeightsType> mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)’ cannot be overloaded
  930. DecisionTree(MatType&& data,
  931. ^
  932. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:108:3: error: with ‘template<class FitnessFunction, template<class> class NumericSplitType, template<class> class CategoricalSplitType, class DimensionSelectionType, class ElemType, bool NoRecursion> template<class MatType, class LabelsType, class WeightsType> mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)’
  933. DecisionTree(MatType&& data,
  934. ^
  935. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:165:28: error: expected ‘,’ or ‘...’ before ‘&&’ token
  936. DecisionTree(DecisionTree&& other);
  937. ^
  938. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:165:36: error: invalid constructor; you probably meant ‘mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion> (const mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>&)’
  939. DecisionTree(DecisionTree&& other);
  940. ^
  941. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:180:39: error: expected ‘,’ or ‘...’ before ‘&&’ token
  942. DecisionTree& operator=(DecisionTree&& other);
  943. ^
  944. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:203:21: error: expected ‘,’ or ‘...’ before ‘&&’ token
  945. void Train(MatType&& data,
  946. ^
  947. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:224:21: error: expected ‘,’ or ‘...’ before ‘&&’ token
  948. void Train(MatType&& data,
  949. ^
  950. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:224:8: error: ‘template<class FitnessFunction, template<class> class NumericSplitType, template<class> class CategoricalSplitType, class DimensionSelectionType, class ElemType, bool NoRecursion> template<class MatType, class LabelsType> void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType)’ cannot be overloaded
  951. void Train(MatType&& data,
  952. ^
  953. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:203:8: error: with ‘template<class FitnessFunction, template<class> class NumericSplitType, template<class> class CategoricalSplitType, class DimensionSelectionType, class ElemType, bool NoRecursion> template<class MatType, class LabelsType> void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType)’
  954. void Train(MatType&& data,
  955. ^
  956. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:246:21: error: expected ‘,’ or ‘...’ before ‘&&’ token
  957. void Train(MatType&& data,
  958. ^
  959. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:270:21: error: expected ‘,’ or ‘...’ before ‘&&’ token
  960. void Train(MatType&& data,
  961. ^
  962. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:270:8: error: ‘template<class FitnessFunction, template<class> class NumericSplitType, template<class> class CategoricalSplitType, class DimensionSelectionType, class ElemType, bool NoRecursion> template<class MatType, class LabelsType, class WeightsType> void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType)’ cannot be overloaded
  963. void Train(MatType&& data,
  964. ^
  965. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:246:8: error: with ‘template<class FitnessFunction, template<class> class NumericSplitType, template<class> class CategoricalSplitType, class DimensionSelectionType, class ElemType, bool NoRecursion> template<class MatType, class LabelsType, class WeightsType> void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType)’
  966. void Train(MatType&& data,
  967. ^
  968. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:409:26: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  969. const data::DatasetInfo& datasetInfo,
  970. ^
  971. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:449:1: error: expected unqualified-id before ‘using’
  972. using DecisionStump = DecisionTree<FitnessFunction,
  973. ^
  974. In file included from /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:460:0,
  975. from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15,
  976. from streamin_extractor_music.cpp:33:
  977. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:31:48: error: expected ‘,’ or ‘...’ before ‘&&’ token
  978. NoRecursion>::DecisionTree(MatType&& data,
  979. ^
  980. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: In constructor ‘mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)’:
  981. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:38:9: error: expected nested-name-specifier before ‘TrueMatType’
  982. using TrueMatType = typename std::decay<MatType>::type;
  983. ^
  984. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:39:9: error: expected nested-name-specifier before ‘TrueLabelsType’
  985. using TrueLabelsType = typename std::decay<LabelsType>::type;
  986. ^
  987. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:42:3: error: ‘TrueMatType’ was not declared in this scope
  988. TrueMatType tmpData(std::forward<MatType>(data));
  989. ^
  990. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:43:3: error: ‘TrueLabelsType’ was not declared in this scope
  991. TrueLabelsType tmpLabels(std::forward<LabelsType>(labels));
  992. ^
  993. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:47:16: error: ‘tmpData’ was not declared in this scope
  994. Train<false>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  995. ^
  996. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:47:44: error: ‘datasetInfo’ was not declared in this scope
  997. Train<false>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  998. ^
  999. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:47:57: error: ‘tmpLabels’ was not declared in this scope
  1000. Train<false>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1001. ^
  1002. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:47:68: error: ‘numClasses’ was not declared in this scope
  1003. Train<false>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1004. ^
  1005. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:48:16: error: ‘minimumLeafSize’ was not declared in this scope
  1006. weights, minimumLeafSize, minimumGainSplit);
  1007. ^
  1008. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:48:33: error: ‘minimumGainSplit’ was not declared in this scope
  1009. weights, minimumLeafSize, minimumGainSplit);
  1010. ^
  1011. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: At global scope:
  1012. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:64:48: error: expected ‘,’ or ‘...’ before ‘&&’ token
  1013. NoRecursion>::DecisionTree(MatType&& data,
  1014. ^
  1015. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:59:1: error: redefinition of ‘mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)’
  1016. DecisionTree<FitnessFunction,
  1017. ^
  1018. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:26:1: note: ‘mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)’ previously declared here
  1019. DecisionTree<FitnessFunction,
  1020. ^
  1021. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:96:48: error: expected ‘,’ or ‘...’ before ‘&&’ token
  1022. NoRecursion>::DecisionTree(MatType&& data,
  1023. ^
  1024. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: In constructor ‘mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)’:
  1025. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:108:9: error: expected nested-name-specifier before ‘TrueMatType’
  1026. using TrueMatType = typename std::decay<MatType>::type;
  1027. ^
  1028. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:109:9: error: expected nested-name-specifier before ‘TrueLabelsType’
  1029. using TrueLabelsType = typename std::decay<LabelsType>::type;
  1030. ^
  1031. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:110:9: error: expected nested-name-specifier before ‘TrueWeightsType’
  1032. using TrueWeightsType = typename std::decay<WeightsType>::type;
  1033. ^
  1034. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:113:3: error: ‘TrueMatType’ was not declared in this scope
  1035. TrueMatType tmpData(std::forward<MatType>(data));
  1036. ^
  1037. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:114:3: error: ‘TrueLabelsType’ was not declared in this scope
  1038. TrueLabelsType tmpLabels(std::forward<LabelsType>(labels));
  1039. ^
  1040. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:115:3: error: ‘TrueWeightsType’ was not declared in this scope
  1041. TrueWeightsType tmpWeights(std::forward<WeightsType>(weights));
  1042. ^
  1043. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:118:15: error: ‘tmpData’ was not declared in this scope
  1044. Train<true>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1045. ^
  1046. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:118:43: error: ‘datasetInfo’ was not declared in this scope
  1047. Train<true>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1048. ^
  1049. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:118:56: error: ‘tmpLabels’ was not declared in this scope
  1050. Train<true>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1051. ^
  1052. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:118:67: error: ‘numClasses’ was not declared in this scope
  1053. Train<true>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1054. ^
  1055. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:119:7: error: ‘tmpWeights’ was not declared in this scope
  1056. tmpWeights, minimumLeafSize, minimumGainSplit);
  1057. ^
  1058. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:119:19: error: ‘minimumLeafSize’ was not declared in this scope
  1059. tmpWeights, minimumLeafSize, minimumGainSplit);
  1060. ^
  1061. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:119:36: error: ‘minimumGainSplit’ was not declared in this scope
  1062. tmpWeights, minimumLeafSize, minimumGainSplit);
  1063. ^
  1064. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: At global scope:
  1065. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:135:48: error: expected ‘,’ or ‘...’ before ‘&&’ token
  1066. NoRecursion>::DecisionTree(MatType&& data,
  1067. ^
  1068. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:130:1: error: redefinition of ‘mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)’
  1069. DecisionTree<FitnessFunction,
  1070. ^
  1071. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:91:1: note: ‘mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)’ previously declared here
  1072. DecisionTree<FitnessFunction,
  1073. ^
  1074. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:217:53: error: expected ‘,’ or ‘...’ before ‘&&’ token
  1075. NoRecursion>::DecisionTree(DecisionTree&& other) :
  1076. ^
  1077. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:212:1: error: prototype for ‘mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>)’ does not match any in class ‘mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>’
  1078. DecisionTree<FitnessFunction,
  1079. ^
  1080. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:188:1: error: candidates are: mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(const mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>&)
  1081. DecisionTree<FitnessFunction,
  1082. ^
  1083. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:167:1: error: mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(size_t)
  1084. DecisionTree<FitnessFunction,
  1085. ^
  1086. In file included from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15:0,
  1087. from streamin_extractor_music.cpp:33:
  1088. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:108:3: error: template<class FitnessFunction, template<class> class NumericSplitType, template<class> class CategoricalSplitType, class DimensionSelectionType, class ElemType, bool NoRecursion> template<class MatType, class LabelsType, class WeightsType> mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)
  1089. DecisionTree(MatType&& data,
  1090. ^
  1091. /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:67:3: error: template<class FitnessFunction, template<class> class NumericSplitType, template<class> class CategoricalSplitType, class DimensionSelectionType, class ElemType, bool NoRecursion> template<class MatType, class LabelsType> mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::DecisionTree(MatType)
  1092. DecisionTree(MatType&& data,
  1093. ^
  1094. In file included from /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:460:0,
  1095. from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15,
  1096. from streamin_extractor_music.cpp:33:
  1097. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:291:50: error: expected ‘,’ or ‘...’ before ‘&&’ token
  1098. NoRecursion>::operator=(DecisionTree&& other)
  1099. ^
  1100. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: In member function ‘mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>& mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::operator=(mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>)’:
  1101. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:293:16: error: ‘other’ was not declared in this scope
  1102. if (this == &other)
  1103. ^
  1104. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:302:14: error: ‘move’ is not a member of ‘std’
  1105. children = std::move(other.children);
  1106. ^
  1107. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:302:14: note: suggested alternative:
  1108. In file included from /usr/include/boost/move/utility.hpp:28:0,
  1109. from /usr/include/boost/optional/optional.hpp:48,
  1110. from /usr/include/boost/optional.hpp:15,
  1111. from /usr/include/boost/format/internals.hpp:20,
  1112. from /usr/include/boost/format.hpp:38,
  1113. from /usr/include/boost/math/policies/error_handling.hpp:31,
  1114. from /usr/include/boost/math/special_functions/gamma.hpp:23,
  1115. from /usr/local/include/mlpack/core/kernels/spherical_kernel.hpp:13,
  1116. from /usr/local/include/mlpack/core.hpp:291,
  1117. from streamin_extractor_music.cpp:32:
  1118. /usr/include/boost/move/utility_core.hpp:68:10: note: ‘boost::move’
  1119. move(rv<T>& x) BOOST_NOEXCEPT
  1120. ^
  1121. In file included from /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:460:0,
  1122. from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15,
  1123. from streamin_extractor_music.cpp:33:
  1124. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:302:24: error: ‘other’ was not declared in this scope
  1125. children = std::move(other.children);
  1126. ^
  1127. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:305:24: error: ‘move’ is not a member of ‘std’
  1128. classProbabilities = std::move(other.classProbabilities);
  1129. ^
  1130. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:305:24: note: suggested alternative:
  1131. In file included from /usr/include/boost/move/utility.hpp:28:0,
  1132. from /usr/include/boost/optional/optional.hpp:48,
  1133. from /usr/include/boost/optional.hpp:15,
  1134. from /usr/include/boost/format/internals.hpp:20,
  1135. from /usr/include/boost/format.hpp:38,
  1136. from /usr/include/boost/math/policies/error_handling.hpp:31,
  1137. from /usr/include/boost/math/special_functions/gamma.hpp:23,
  1138. from /usr/local/include/mlpack/core/kernels/spherical_kernel.hpp:13,
  1139. from /usr/local/include/mlpack/core.hpp:291,
  1140. from streamin_extractor_music.cpp:32:
  1141. /usr/include/boost/move/utility_core.hpp:68:10: note: ‘boost::move’
  1142. move(rv<T>& x) BOOST_NOEXCEPT
  1143. ^
  1144. In file included from /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:460:0,
  1145. from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15,
  1146. from streamin_extractor_music.cpp:33:
  1147. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:311:40: error: ‘move’ is not a member of ‘std’
  1148. NumericAuxiliarySplitInfo::operator=(std::move(other));
  1149. ^
  1150. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:311:40: note: suggested alternative:
  1151. In file included from /usr/include/boost/move/utility.hpp:28:0,
  1152. from /usr/include/boost/optional/optional.hpp:48,
  1153. from /usr/include/boost/optional.hpp:15,
  1154. from /usr/include/boost/format/internals.hpp:20,
  1155. from /usr/include/boost/format.hpp:38,
  1156. from /usr/include/boost/math/policies/error_handling.hpp:31,
  1157. from /usr/include/boost/math/special_functions/gamma.hpp:23,
  1158. from /usr/local/include/mlpack/core/kernels/spherical_kernel.hpp:13,
  1159. from /usr/local/include/mlpack/core.hpp:291,
  1160. from streamin_extractor_music.cpp:32:
  1161. /usr/include/boost/move/utility_core.hpp:68:10: note: ‘boost::move’
  1162. move(rv<T>& x) BOOST_NOEXCEPT
  1163. ^
  1164. In file included from /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:460:0,
  1165. from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15,
  1166. from streamin_extractor_music.cpp:33:
  1167. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:312:44: error: ‘move’ is not a member of ‘std’
  1168. CategoricalAuxiliarySplitInfo::operator=(std::move(other));
  1169. ^
  1170. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:312:44: note: suggested alternative:
  1171. In file included from /usr/include/boost/move/utility.hpp:28:0,
  1172. from /usr/include/boost/optional/optional.hpp:48,
  1173. from /usr/include/boost/optional.hpp:15,
  1174. from /usr/include/boost/format/internals.hpp:20,
  1175. from /usr/include/boost/format.hpp:38,
  1176. from /usr/include/boost/math/policies/error_handling.hpp:31,
  1177. from /usr/include/boost/math/special_functions/gamma.hpp:23,
  1178. from /usr/local/include/mlpack/core/kernels/spherical_kernel.hpp:13,
  1179. from /usr/local/include/mlpack/core.hpp:291,
  1180. from streamin_extractor_music.cpp:32:
  1181. /usr/include/boost/move/utility_core.hpp:68:10: note: ‘boost::move’
  1182. move(rv<T>& x) BOOST_NOEXCEPT
  1183. ^
  1184. In file included from /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:460:0,
  1185. from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15,
  1186. from streamin_extractor_music.cpp:33:
  1187. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: At global scope:
  1188. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:348:46: error: expected ‘,’ or ‘...’ before ‘&&’ token
  1189. NoRecursion>::Train(MatType&& data,
  1190. ^
  1191. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: In member function ‘void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType)’:
  1192. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:356:11: error: expected primary-expression before ‘.’ token
  1193. if (data.n_cols != labels.n_elem)
  1194. ^
  1195. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:356:22: error: ‘labels’ was not declared in this scope
  1196. if (data.n_cols != labels.n_elem)
  1197. ^
  1198. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:359:63: error: expected primary-expression before ‘.’ token
  1199. oss << "DecisionTree::Train(): number of points (" << data.n_cols << ") "
  1200. ^
  1201. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:365:9: error: expected nested-name-specifier before ‘TrueMatType’
  1202. using TrueMatType = typename std::decay<MatType>::type;
  1203. ^
  1204. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:366:9: error: expected nested-name-specifier before ‘TrueLabelsType’
  1205. using TrueLabelsType = typename std::decay<LabelsType>::type;
  1206. ^
  1207. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:369:3: error: ‘TrueMatType’ was not declared in this scope
  1208. TrueMatType tmpData(std::forward<MatType>(data));
  1209. ^
  1210. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:370:3: error: ‘TrueLabelsType’ was not declared in this scope
  1211. TrueLabelsType tmpLabels(std::forward<LabelsType>(labels));
  1212. ^
  1213. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:374:16: error: ‘tmpData’ was not declared in this scope
  1214. Train<false>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1215. ^
  1216. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:374:44: error: ‘datasetInfo’ was not declared in this scope
  1217. Train<false>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1218. ^
  1219. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:374:57: error: ‘tmpLabels’ was not declared in this scope
  1220. Train<false>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1221. ^
  1222. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:374:68: error: ‘numClasses’ was not declared in this scope
  1223. Train<false>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1224. ^
  1225. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:375:16: error: ‘minimumLeafSize’ was not declared in this scope
  1226. weights, minimumLeafSize, minimumGainSplit);
  1227. ^
  1228. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:375:33: error: ‘minimumGainSplit’ was not declared in this scope
  1229. weights, minimumLeafSize, minimumGainSplit);
  1230. ^
  1231. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: At global scope:
  1232. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:391:46: error: expected ‘,’ or ‘...’ before ‘&&’ token
  1233. NoRecursion>::Train(MatType&& data,
  1234. ^
  1235. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:386:6: error: redefinition of ‘void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType)’
  1236. void DecisionTree<FitnessFunction,
  1237. ^
  1238. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:343:6: note: ‘void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType)’ previously declared here
  1239. void DecisionTree<FitnessFunction,
  1240. ^
  1241. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:433:46: error: expected ‘,’ or ‘...’ before ‘&&’ token
  1242. NoRecursion>::Train(MatType&& data,
  1243. ^
  1244. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: In member function ‘void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType)’:
  1245. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:445:11: error: expected primary-expression before ‘.’ token
  1246. if (data.n_cols != labels.n_elem)
  1247. ^
  1248. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:445:22: error: ‘labels’ was not declared in this scope
  1249. if (data.n_cols != labels.n_elem)
  1250. ^
  1251. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:448:63: error: expected primary-expression before ‘.’ token
  1252. oss << "DecisionTree::Train(): number of points (" << data.n_cols << ") "
  1253. ^
  1254. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:454:9: error: expected nested-name-specifier before ‘TrueMatType’
  1255. using TrueMatType = typename std::decay<MatType>::type;
  1256. ^
  1257. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:455:9: error: expected nested-name-specifier before ‘TrueLabelsType’
  1258. using TrueLabelsType = typename std::decay<LabelsType>::type;
  1259. ^
  1260. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:456:9: error: expected nested-name-specifier before ‘TrueWeightsType’
  1261. using TrueWeightsType = typename std::decay<WeightsType>::type;
  1262. ^
  1263. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:459:3: error: ‘TrueMatType’ was not declared in this scope
  1264. TrueMatType tmpData(std::forward<MatType>(data));
  1265. ^
  1266. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:460:3: error: ‘TrueLabelsType’ was not declared in this scope
  1267. TrueLabelsType tmpLabels(std::forward<LabelsType>(labels));
  1268. ^
  1269. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:461:3: error: ‘TrueWeightsType’ was not declared in this scope
  1270. TrueWeightsType tmpWeights(std::forward<WeightsType>(weights));
  1271. ^
  1272. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:464:15: error: ‘tmpData’ was not declared in this scope
  1273. Train<true>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1274. ^
  1275. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:464:43: error: ‘datasetInfo’ was not declared in this scope
  1276. Train<true>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1277. ^
  1278. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:464:56: error: ‘tmpLabels’ was not declared in this scope
  1279. Train<true>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1280. ^
  1281. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:464:67: error: ‘numClasses’ was not declared in this scope
  1282. Train<true>(tmpData, 0, tmpData.n_cols, datasetInfo, tmpLabels, numClasses,
  1283. ^
  1284. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:465:7: error: ‘tmpWeights’ was not declared in this scope
  1285. tmpWeights, minimumLeafSize, minimumGainSplit);
  1286. ^
  1287. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:465:19: error: ‘minimumLeafSize’ was not declared in this scope
  1288. tmpWeights, minimumLeafSize, minimumGainSplit);
  1289. ^
  1290. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:465:36: error: ‘minimumGainSplit’ was not declared in this scope
  1291. tmpWeights, minimumLeafSize, minimumGainSplit);
  1292. ^
  1293. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: At global scope:
  1294. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:481:46: error: expected ‘,’ or ‘...’ before ‘&&’ token
  1295. NoRecursion>::Train(MatType&& data,
  1296. ^
  1297. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:476:6: error: redefinition of ‘void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType)’
  1298. void DecisionTree<FitnessFunction,
  1299. ^
  1300. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:428:6: note: ‘void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType)’ previously declared here
  1301. void DecisionTree<FitnessFunction,
  1302. ^
  1303. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:531:51: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  1304. const data::DatasetInfo& datasetInfo,
  1305. ^
  1306. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: In member function ‘void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType&, size_t, size_t, const int&, arma::Row<long unsigned int>&, size_t, arma::rowvec&, size_t, double)’:
  1307. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:552:32: error: request for member ‘Dimensionality’ in ‘datasetInfo’, which is of non-class type ‘const int’
  1308. size_t bestDim = datasetInfo.Dimensionality(); // This means "no split".
  1309. ^
  1310. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:553:49: error: request for member ‘Dimensionality’ in ‘datasetInfo’, which is of non-class type ‘const int’
  1311. DimensionSelectionType dimensions(datasetInfo.Dimensionality());
  1312. ^
  1313. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:558:21: error: request for member ‘Type’ in ‘datasetInfo’, which is of non-class type ‘const int’
  1314. if (datasetInfo.Type(i) == data::Datatype::categorical)
  1315. ^
  1316. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:558:38: error: ‘mlpack::data::Datatype’ is not a class or namespace
  1317. if (datasetInfo.Type(i) == data::Datatype::categorical)
  1318. ^
  1319. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:562:23: error: request for member ‘NumMappings’ in ‘datasetInfo’, which is of non-class type ‘const int’
  1320. datasetInfo.NumMappings(i),
  1321. ^
  1322. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:571:26: error: request for member ‘Type’ in ‘datasetInfo’, which is of non-class type ‘const int’
  1323. else if (datasetInfo.Type(i) == data::Datatype::numeric)
  1324. ^
  1325. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:571:43: error: ‘mlpack::data::Datatype’ is not a class or namespace
  1326. else if (datasetInfo.Type(i) == data::Datatype::numeric)
  1327. ^
  1328. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:597:30: error: request for member ‘Dimensionality’ in ‘datasetInfo’, which is of non-class type ‘const int’
  1329. if (bestDim != datasetInfo.Dimensionality())
  1330. ^
  1331. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:599:57: error: request for member ‘Type’ in ‘datasetInfo’, which is of non-class type ‘const int’
  1332. dimensionTypeOrMajorityClass = (size_t) datasetInfo.Type(bestDim);
  1333. ^
  1334. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:604:21: error: request for member ‘Type’ in ‘datasetInfo’, which is of non-class type ‘const int’
  1335. if (datasetInfo.Type(bestDim) == data::Datatype::categorical)
  1336. ^
  1337. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:604:44: error: ‘mlpack::data::Datatype’ is not a class or namespace
  1338. if (datasetInfo.Type(bestDim) == data::Datatype::categorical)
  1339. ^
  1340. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:611:21: error: request for member ‘Type’ in ‘datasetInfo’, which is of non-class type ‘const int’
  1341. if (datasetInfo.Type(bestDim) == data::Datatype::categorical)
  1342. ^
  1343. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:611:44: error: ‘mlpack::data::Datatype’ is not a class or namespace
  1344. if (datasetInfo.Type(bestDim) == data::Datatype::categorical)
  1345. ^
  1346. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: In member function ‘void mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::Train(MatType&, size_t, size_t, arma::Row<long unsigned int>&, size_t, arma::rowvec&, size_t, double)’:
  1347. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:752:51: error: ‘mlpack::data::Datatype’ is not a class or namespace
  1348. dimensionTypeOrMajorityClass = (size_t) data::Datatype::numeric;
  1349. ^
  1350. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp: In member function ‘size_t mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::CalculateDirection(const VecType&) const’:
  1351. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:983:13: error: ‘mlpack::data::Datatype’ is not a class or namespace
  1352. data::Datatype::categorical)
  1353. ^
  1354. In file included from streamin_extractor_music.cpp:33:0:
  1355. /usr/local/include/mlpack/methods/random_forest/random_forest.hpp: At global scope:
  1356. /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:73:28: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  1357. const data::DatasetInfo& datasetInfo,
  1358. ^
  1359. /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:115:28: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  1360. const data::DatasetInfo& datasetInfo,
  1361. ^
  1362. /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:155:26: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  1363. const data::DatasetInfo& datasetInfo,
  1364. ^
  1365. /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:197:26: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  1366. const data::DatasetInfo& datasetInfo,
  1367. ^
  1368. /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:285:26: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  1369. const data::DatasetInfo& datasetInfo,
  1370. ^
  1371. In file included from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:300:0,
  1372. from streamin_extractor_music.cpp:33:
  1373. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp: In constructor ‘mlpack::tree::RandomForest<FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType>::RandomForest(const MatType&, const arma::Row<long unsigned int>&, size_t, size_t, size_t)’:
  1374. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:42:3: error: ‘DatasetInfo’ is not a member of ‘mlpack::data’
  1375. data::DatasetInfo info; // Ignored.
  1376. ^
  1377. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:44:32: error: ‘info’ was not declared in this scope
  1378. Train<false, false>(dataset, info, labels, numClasses, weights, numTrees,
  1379. ^
  1380. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp: At global scope:
  1381. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:63:29: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  1382. const data::DatasetInfo& datasetInfo,
  1383. ^
  1384. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp: In constructor ‘mlpack::tree::RandomForest<FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType>::RandomForest(const MatType&, const arma::Row<long unsigned int>&, size_t, const rowvec&, size_t, size_t)’:
  1385. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:97:3: error: ‘DatasetInfo’ is not a member of ‘mlpack::data’
  1386. data::DatasetInfo info; // Ignored by Train().
  1387. ^
  1388. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:98:31: error: ‘info’ was not declared in this scope
  1389. Train<true, false>(dataset, info, labels, numClasses, weights, numTrees,
  1390. ^
  1391. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp: At global scope:
  1392. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:117:29: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  1393. const data::DatasetInfo& datasetInfo,
  1394. ^
  1395. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp: In member function ‘void mlpack::tree::RandomForest<FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType>::Train(const MatType&, const arma::Row<long unsigned int>&, size_t, size_t, size_t)’:
  1396. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:150:3: error: ‘DatasetInfo’ is not a member of ‘mlpack::data’
  1397. data::DatasetInfo info; // Ignored by Train().
  1398. ^
  1399. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:152:32: error: ‘info’ was not declared in this scope
  1400. Train<false, false>(dataset, info, labels, numClasses, weights, numTrees,
  1401. ^
  1402. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp: At global scope:
  1403. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:171:22: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  1404. const data::DatasetInfo& datasetInfo,
  1405. ^
  1406. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp: In member function ‘void mlpack::tree::RandomForest<FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType>::Train(const MatType&, const arma::Row<long unsigned int>&, size_t, const rowvec&, size_t, size_t)’:
  1407. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:205:3: error: ‘DatasetInfo’ is not a member of ‘mlpack::data’
  1408. data::DatasetInfo info; // Ignored by Train().
  1409. ^
  1410. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:206:31: error: ‘info’ was not declared in this scope
  1411. Train<false, true>(dataset, info, labels, numClasses, weights, numTrees,
  1412. ^
  1413. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp: At global scope:
  1414. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:225:22: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  1415. const data::DatasetInfo& datasetInfo,
  1416. ^
  1417. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:425:22: error: ‘DatasetInfo’ in namespace ‘mlpack::data’ does not name a type
  1418. const data::DatasetInfo& datasetInfo,
  1419. ^
  1420. In file included from /usr/include/c++/5/bits/stl_tree.h:63:0,
  1421. from /usr/include/c++/5/map:60,
  1422. from /usr/local/include/essentia/types.h:23,
  1423. from /usr/local/include/essentia/essentia.h:24,
  1424. from streamin_extractor_music.cpp:24:
  1425. /usr/include/c++/5/bits/stl_algobase.h: In instantiation of ‘typename __gnu_cxx::__enable_if<(! std::__is_scalar<_Tp>::__value), void>::__type std::__fill_a(_ForwardIterator, _ForwardIterator, const _Tp&) [with _ForwardIterator = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*; _Tp = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>; typename __gnu_cxx::__enable_if<(! std::__is_scalar<_Tp>::__value), void>::__type = void]’:
  1426. /usr/include/c++/5/bits/stl_algobase.h:747:20: required from ‘void std::fill(_ForwardIterator, _ForwardIterator, const _Tp&) [with _ForwardIterator = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*; _Tp = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>]’
  1427. /usr/include/c++/5/bits/vector.tcc:469:14: required from ‘void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>; _Alloc = std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> >; std::vector<_Tp, _Alloc>::iterator = __gnu_cxx::__normal_iterator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*, std::vector<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>, std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> > > >; typename std::_Vector_base<_Tp, _Alloc>::pointer = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*; std::vector<_Tp, _Alloc>::size_type = long unsigned int; std::vector<_Tp, _Alloc>::value_type = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>]’
  1428. /usr/include/c++/5/bits/stl_vector.h:1073:23: required from ‘void std::vector<_Tp, _Alloc>::insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>; _Alloc = std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> >; std::vector<_Tp, _Alloc>::iterator = __gnu_cxx::__normal_iterator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*, std::vector<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>, std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> > > >; typename std::_Vector_base<_Tp, _Alloc>::pointer = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*; std::vector<_Tp, _Alloc>::size_type = long unsigned int; std::vector<_Tp, _Alloc>::value_type = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>]’
  1429. /usr/include/c++/5/bits/stl_vector.h:716:10: required from ‘void std::vector<_Tp, _Alloc>::resize(std::vector<_Tp, _Alloc>::size_type, std::vector<_Tp, _Alloc>::value_type) [with _Tp = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>; _Alloc = std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> >; std::vector<_Tp, _Alloc>::size_type = long unsigned int; std::vector<_Tp, _Alloc>::value_type = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>]’
  1430. /usr/local/include/mlpack/methods/random_forest/random_forest_impl.hpp:405:5: required from ‘void mlpack::tree::RandomForest<FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, ElemType>::serialize(Archive&, unsigned int) [with Archive = boost::archive::xml_iarchive; FitnessFunction = mlpack::tree::GiniGain; DimensionSelectionType = mlpack::tree::MultipleRandomDimensionSelect<>; NumericSplitType = mlpack::tree::BestBinaryNumericSplit; CategoricalSplitType = mlpack::tree::AllCategoricalSplit; ElemType = double]’
  1431. /usr/include/boost/serialization/access.hpp:118:9: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  1432. /usr/include/boost/archive/detail/common_iarchive.hpp:66:22: required from ‘void boost::archive::detail::common_iarchive<Archive>::load_override(T&, int) [with T = mlpack::tree::RandomForest<>; Archive = boost::archive::xml_iarchive]’
  1433. /usr/include/boost/archive/basic_xml_iarchive.hpp:92:9: required from ‘void boost::archive::basic_xml_iarchive<Archive>::load_override(const boost::serialization::nvp<T>&, int) [with T = mlpack::tree::RandomForest<>; Archive = boost::archive::xml_iarchive]’
  1434. /usr/include/boost/archive/xml_iarchive.hpp:103:51: required from ‘void boost::archive::xml_iarchive_impl<Archive>::load_override(T&, int) [with T = const boost::serialization::nvp<mlpack::tree::RandomForest<> >; Archive = boost::archive::xml_iarchive]’
  1435. /usr/include/boost/archive/detail/interface_iarchive.hpp:60:9: required from ‘Archive& boost::archive::detail::interface_iarchive<Archive>::operator>>(T&) [with T = const boost::serialization::nvp<mlpack::tree::RandomForest<> >; Archive = boost::archive::xml_iarchive]’
  1436. /usr/local/include/mlpack/core/data/load_model_impl.hpp:93:10: required from ‘bool mlpack::data::Load(const string&, const string&, T&, bool, mlpack::data::format) [with T = mlpack::tree::RandomForest<>; std::__cxx11::string = std::__cxx11::basic_string<char>]’
  1437. streamin_extractor_music.cpp:124:58: required from here
  1438. /usr/include/c++/5/bits/stl_algobase.h:701:11: error: ambiguous overload for ‘operator=’ (operand types are ‘mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>’ and ‘const mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>’)
  1439. *__first = __value;
  1440. ^
  1441. In file included from /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:460:0,
  1442. from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15,
  1443. from streamin_extractor_music.cpp:33:
  1444. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:242:1: note: candidate: mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>& mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::operator=(const mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>&) [with FitnessFunction = mlpack::tree::GiniGain; NumericSplitType = mlpack::tree::BestBinaryNumericSplit; CategoricalSplitType = mlpack::tree::AllCategoricalSplit; DimensionSelectionType = mlpack::tree::MultipleRandomDimensionSelect<>; ElemType = double; bool NoRecursion = false]
  1445. DecisionTree<FitnessFunction,
  1446. ^
  1447. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:286:1: note: candidate: mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>& mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::operator=(mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>) [with FitnessFunction = mlpack::tree::GiniGain; NumericSplitType = mlpack::tree::BestBinaryNumericSplit; CategoricalSplitType = mlpack::tree::AllCategoricalSplit; DimensionSelectionType = mlpack::tree::MultipleRandomDimensionSelect<>; ElemType = double; bool NoRecursion = false; mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion> = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>]
  1448. DecisionTree<FitnessFunction,
  1449. ^
  1450. In file included from /usr/include/c++/5/bits/stl_tree.h:63:0,
  1451. from /usr/include/c++/5/map:60,
  1452. from /usr/local/include/essentia/types.h:23,
  1453. from /usr/local/include/essentia/essentia.h:24,
  1454. from streamin_extractor_music.cpp:24:
  1455. /usr/include/c++/5/bits/stl_algobase.h: In instantiation of ‘static _BI2 std::__copy_move_backward<false, false, std::random_access_iterator_tag>::__copy_move_b(_BI1, _BI1, _BI2) [with _BI1 = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*; _BI2 = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*]’:
  1456. /usr/include/c++/5/bits/stl_algobase.h:604:58: required from ‘_BI2 std::__copy_move_backward_a(_BI1, _BI1, _BI2) [with bool _IsMove = false; _BI1 = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*; _BI2 = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*]’
  1457. /usr/include/c++/5/bits/stl_algobase.h:614:5: required from ‘_BI2 std::__copy_move_backward_a2(_BI1, _BI1, _BI2) [with bool _IsMove = false; _BI1 = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*; _BI2 = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*]’
  1458. /usr/include/c++/5/bits/stl_algobase.h:649:8: required from ‘_BI2 std::copy_backward(_BI1, _BI1, _BI2) [with _BI1 = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*; _BI2 = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*]’
  1459. /usr/include/c++/5/bits/vector.tcc:467:5: required from ‘void std::vector<_Tp, _Alloc>::_M_fill_insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>; _Alloc = std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> >; std::vector<_Tp, _Alloc>::iterator = __gnu_cxx::__normal_iterator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*, std::vector<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>, std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> > > >; typename std::_Vector_base<_Tp, _Alloc>::pointer = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*; std::vector<_Tp, _Alloc>::size_type = long unsigned int; std::vector<_Tp, _Alloc>::value_type = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>]’
  1460. /usr/include/c++/5/bits/stl_vector.h:1073:23: required from ‘void std::vector<_Tp, _Alloc>::insert(std::vector<_Tp, _Alloc>::iterator, std::vector<_Tp, _Alloc>::size_type, const value_type&) [with _Tp = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>; _Alloc = std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> >; std::vector<_Tp, _Alloc>::iterator = __gnu_cxx::__normal_iterator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*, std::vector<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>, std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> > > >; typename std::_Vector_base<_Tp, _Alloc>::pointer = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*; std::vector<_Tp, _Alloc>::size_type = long unsigned int; std::vector<_Tp, _Alloc>::value_type = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>]’
  1461. /usr/include/c++/5/bits/stl_vector.h:716:10: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  1462. /usr/include/boost/archive/detail/common_iarchive.hpp:66:22: required from ‘void boost::archive::detail::common_iarchive<Archive>::load_override(T&, int) [with T = mlpack::tree::RandomForest<>; Archive = boost::archive::xml_iarchive]’
  1463. /usr/include/boost/archive/basic_xml_iarchive.hpp:92:9: required from ‘void boost::archive::basic_xml_iarchive<Archive>::load_override(const boost::serialization::nvp<T>&, int) [with T = mlpack::tree::RandomForest<>; Archive = boost::archive::xml_iarchive]’
  1464. /usr/include/boost/archive/xml_iarchive.hpp:103:51: required from ‘void boost::archive::xml_iarchive_impl<Archive>::load_override(T&, int) [with T = const boost::serialization::nvp<mlpack::tree::RandomForest<> >; Archive = boost::archive::xml_iarchive]’
  1465. /usr/include/boost/archive/detail/interface_iarchive.hpp:60:9: required from ‘Archive& boost::archive::detail::interface_iarchive<Archive>::operator>>(T&) [with T = const boost::serialization::nvp<mlpack::tree::RandomForest<> >; Archive = boost::archive::xml_iarchive]’
  1466. /usr/local/include/mlpack/core/data/load_model_impl.hpp:93:10: required from ‘bool mlpack::data::Load(const string&, const string&, T&, bool, mlpack::data::format) [with T = mlpack::tree::RandomForest<>; std::__cxx11::string = std::__cxx11::basic_string<char>]’
  1467. streamin_extractor_music.cpp:124:58: required from here
  1468. /usr/include/c++/5/bits/stl_algobase.h:549:18: error: ambiguous overload for ‘operator=’ (operand types are ‘mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>’ and ‘mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>’)
  1469. *--__result = *--__last;
  1470. ^
  1471. In file included from /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:460:0,
  1472. from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15,
  1473. from streamin_extractor_music.cpp:33:
  1474. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:242:1: note: candidate: mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>& mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::operator=(const mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>&) [with FitnessFunction = mlpack::tree::GiniGain; NumericSplitType = mlpack::tree::BestBinaryNumericSplit; CategoricalSplitType = mlpack::tree::AllCategoricalSplit; DimensionSelectionType = mlpack::tree::MultipleRandomDimensionSelect<>; ElemType = double; bool NoRecursion = false]
  1475. DecisionTree<FitnessFunction,
  1476. ^
  1477. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:286:1: note: candidate: mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>& mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::operator=(mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>) [with FitnessFunction = mlpack::tree::GiniGain; NumericSplitType = mlpack::tree::BestBinaryNumericSplit; CategoricalSplitType = mlpack::tree::AllCategoricalSplit; DimensionSelectionType = mlpack::tree::MultipleRandomDimensionSelect<>; ElemType = double; bool NoRecursion = false; mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion> = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>]
  1478. DecisionTree<FitnessFunction,
  1479. ^
  1480. In file included from /usr/include/c++/5/vector:69:0,
  1481. from /usr/local/include/essentia/types.h:24,
  1482. from /usr/local/include/essentia/essentia.h:24,
  1483. from streamin_extractor_music.cpp:24:
  1484. /usr/include/c++/5/bits/vector.tcc: In instantiation of ‘void std::vector<_Tp, _Alloc>::_M_insert_aux(std::vector<_Tp, _Alloc>::iterator, const _Tp&) [with _Tp = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>; _Alloc = std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> >; std::vector<_Tp, _Alloc>::iterator = __gnu_cxx::__normal_iterator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*, std::vector<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>, std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> > > >; typename std::_Vector_base<_Tp, _Alloc>::pointer = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>*]’:
  1485. /usr/include/c++/5/bits/stl_vector.h:925:17: required from ‘void std::vector<_Tp, _Alloc>::push_back(const value_type&) [with _Tp = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>; _Alloc = std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> >; std::vector<_Tp, _Alloc>::value_type = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>]’
  1486. /usr/local/include/mlpack/core/boost_backport/collections_load_imp.hpp:96:9: required from ‘typename boost::disable_if<boost::serialization::detail::is_default_constructible<typename T::value_type>, void>::type boost::serialization::stl::collection_load_impl(Archive&, T&, boost::serialization::collection_size_type, boost::serialization::item_version_type) [with Archive = boost::archive::xml_iarchive; T = std::vector<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>, std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> > >; typename boost::disable_if<boost::serialization::detail::is_default_constructible<typename T::value_type>, void>::type = void]’
  1487. /usr/local/include/mlpack/core/boost_backport/vector.hpp:91:30: required from ‘void boost::serialization::load(Archive&, std::vector<U, Allocator>&, unsigned int, mpl_::false_) [with Archive = boost::archive::xml_iarchive; U = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>; Allocator = std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> >; mpl_::false_ = mpl_::bool_<false>]’
  1488. /usr/local/include/mlpack/core/boost_backport/vector.hpp:159:9: required from ‘void boost::serialization::load(Archive&, std::vector<U, Allocator>&, unsigned int) [with Archive = boost::archive::xml_iarchive; U = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>; Allocator = std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> >]’
  1489. /usr/include/boost/serialization/split_free.hpp:58:13: required from ‘static void boost::serialization::free_loader<Archive, T>::invoke(Archive&, T&, unsigned int) [with Archive = boost::archive::xml_iarchive; T = std::vector<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>, std::allocator<mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false> > >]’
  1490. /usr/include/boost/serialization/split_free.hpp:74:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
  1491. /usr/include/boost/archive/detail/common_iarchive.hpp:66:22: required from ‘void boost::archive::detail::common_iarchive<Archive>::load_override(T&, int) [with T = mlpack::tree::RandomForest<>; Archive = boost::archive::xml_iarchive]’
  1492. /usr/include/boost/archive/basic_xml_iarchive.hpp:92:9: required from ‘void boost::archive::basic_xml_iarchive<Archive>::load_override(const boost::serialization::nvp<T>&, int) [with T = mlpack::tree::RandomForest<>; Archive = boost::archive::xml_iarchive]’
  1493. /usr/include/boost/archive/xml_iarchive.hpp:103:51: required from ‘void boost::archive::xml_iarchive_impl<Archive>::load_override(T&, int) [with T = const boost::serialization::nvp<mlpack::tree::RandomForest<> >; Archive = boost::archive::xml_iarchive]’
  1494. /usr/include/boost/archive/detail/interface_iarchive.hpp:60:9: required from ‘Archive& boost::archive::detail::interface_iarchive<Archive>::operator>>(T&) [with T = const boost::serialization::nvp<mlpack::tree::RandomForest<> >; Archive = boost::archive::xml_iarchive]’
  1495. /usr/local/include/mlpack/core/data/load_model_impl.hpp:93:10: required from ‘bool mlpack::data::Load(const string&, const string&, T&, bool, mlpack::data::format) [with T = mlpack::tree::RandomForest<>; std::__cxx11::string = std::__cxx11::basic_string<char>]’
  1496. streamin_extractor_music.cpp:124:58: required from here
  1497. /usr/include/c++/5/bits/vector.tcc:343:16: error: ambiguous overload for ‘operator=’ (operand types are ‘mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>’ and ‘mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>’)
  1498. *__position = __x_copy;
  1499. ^
  1500. In file included from /usr/local/include/mlpack/methods/decision_tree/decision_tree.hpp:460:0,
  1501. from /usr/local/include/mlpack/methods/random_forest/random_forest.hpp:15,
  1502. from streamin_extractor_music.cpp:33:
  1503. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:242:1: note: candidate: mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>& mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::operator=(const mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>&) [with FitnessFunction = mlpack::tree::GiniGain; NumericSplitType = mlpack::tree::BestBinaryNumericSplit; CategoricalSplitType = mlpack::tree::AllCategoricalSplit; DimensionSelectionType = mlpack::tree::MultipleRandomDimensionSelect<>; ElemType = double; bool NoRecursion = false]
  1504. DecisionTree<FitnessFunction,
  1505. ^
  1506. /usr/local/include/mlpack/methods/decision_tree/decision_tree_impl.hpp:286:1: note: candidate: mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>& mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>::operator=(mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion>) [with FitnessFunction = mlpack::tree::GiniGain; NumericSplitType = mlpack::tree::BestBinaryNumericSplit; CategoricalSplitType = mlpack::tree::AllCategoricalSplit; DimensionSelectionType = mlpack::tree::MultipleRandomDimensionSelect<>; ElemType = double; bool NoRecursion = false; mlpack::tree::DecisionTree<FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion> = mlpack::tree::DecisionTree<mlpack::tree::GiniGain, mlpack::tree::BestBinaryNumericSplit, mlpack::tree::AllCategoricalSplit, mlpack::tree::MultipleRandomDimensionSelect<>, double, false>]
  1507. DecisionTree<FitnessFunction,
  1508. ^
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement
Public Pastes
Advertisement
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy.  OK, I Understand
Not a member of Pastebin yet?
Sign Up, it unlocks many cool features!