gsomix@gsomix:~/Workspace/shogun/examples/undocumented/octave_modular$ octave features_sparse_modular.m
GNU Octave, version 3.2.4
Copyright (C) 2009 John W. Eaton and others.
This is free software; see the source code for copying conditions.
There is ABSOLUTELY NO WARRANTY; not even for MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE.  For details, type `warranty'.

Octave was configured for "i686-pc-linux-gnu".

Additional information about Octave is available at http://www.octave.org.

Please contribute if you find this software useful.
For more information, visit http://www.octave.org/help-wanted.html

Report bugs to <[email protected]> (but first, please read
http://www.octave.org/bugs.html to learn how to write a helpful report).

For information about changes from previous versions, type `news'.

Sparse Features
ans =

   0.84442   0.00000   0.78380   0.00000   0.00000
   0.75795   0.00000   0.00000   0.90811   0.75580
   0.00000   0.00000   0.00000   0.00000   0.00000

X =

Compressed Column Sparse (rows = 3, cols = 5, nnz = 5 [33%])

  (1, 1) ->  0.84442
  (2, 1) ->  0.75795
  (1, 3) ->  0.78380
  (2, 4) ->  0.90811
  (2, 5) ->  0.75580

a =

{
  SparseRealFeatures, ptr = 0x943c6d0
  add_preprocessor (method)
  apply_preprocessor (method)
  benchmark_add_to_dense_vector (method)
  benchmark_dense_dot_range (method)
  check_feature_compatibility (method)
  clean_preprocessors (method)
  compute_cov (static method)
  copy_subset (method)
  del_preprocessor (method)
  dense_dot_vec (method)
  dot (method)
  duplicate (method)
  free_sparse_feature_matrix (method)
  free_sparse_features (method)
  get_cache_size (method)
  get_combined_feature_weight (method)
  get_computed_dot_feature_matrix (method)
  get_computed_dot_feature_vector (method)
  get_cov (method)
  get_dim_feature_space (method)
  get_feature (method)
  get_feature_class (method)
  get_feature_type (method)
  get_full_feature_matrix (method)
  get_full_feature_vector (method)
  get_global_io (method)
  get_global_parallel (method)
  get_global_version (method)
  get_mean (static method)
  get_modelsel_names (method)
  get_modsel_param_descr (method)
  get_modsel_param_index (method)
  get_name (method)
  get_nnz_features_for_vector (method)
  get_num_features (method)
  get_num_nonzero_entries (method)
  get_num_preprocessed (method)
  get_num_preprocessors (method)
  get_num_vectors (method)
  get_preprocessor (method)
  get_size (method)
  get_sparse_feature_matrix (method)
  get_sparse_feature_vector (method)
  get_transposed (method)
  has_property (method)
  has_subset (method)
  io (variable)
  is_generic (method)
  is_preprocessed (method)
  list_feature_obj (method)
  load (method)
  load_all_file_parameters (method)
  load_file_parameters (method)
  load_serializable (method)
  load_svmlight_file (method)
  m_model_selection_parameters (variable)
  m_parameter_map (variable)
  m_parameters (variable)
  map_parameters (method)
  obtain_from_simple (method)
  parallel (variable)
  print_modsel_params (method)
  print_serializable (method)
  ref_count (method)
  remove_subset (method)
  reshape (method)
  save (method)
  save_serializable (method)
  set_combined_feature_weight (method)
  set_full_feature_matrix (method)
  set_global_io (method)
  set_global_parallel (method)
  set_global_version (method)
  set_num_features (method)
  set_preprocessed (method)
  set_property (method)
  set_sparse_feature_matrix (method)
  set_subset (method)
  sort_features (method)
  subset_changed_post (method)
  subset_idx_conversion (method)
  unset_generic (method)
  unset_property (method)
  version (variable)
  write_svmlight_file (method)
}

a_out =

   0.84442   0.00000   0.78380   0.00000   0.00000
   0.75795   0.00000   0.00000   0.90811   0.75580
   0.00000   0.00000   0.00000   0.00000   0.00000

a_out =

   0.84442   0.00000   0.78380   0.00000   0.00000
   0.75795   0.00000   0.00000   0.90811   0.75580
   0.00000   0.00000   0.00000   0.00000   0.00000

a =

{
  SparseRealFeatures, ptr = 0x943fe10
  add_preprocessor (method)
  apply_preprocessor (method)
  benchmark_add_to_dense_vector (method)
  benchmark_dense_dot_range (method)
  check_feature_compatibility (method)
  clean_preprocessors (method)
  compute_cov (static method)
  copy_subset (method)
  del_preprocessor (method)
  dense_dot_vec (method)
  dot (method)
  duplicate (method)
  free_sparse_feature_matrix (method)
  free_sparse_features (method)
  get_cache_size (method)
  get_combined_feature_weight (method)
  get_computed_dot_feature_matrix (method)
  get_computed_dot_feature_vector (method)
  get_cov (method)
  get_dim_feature_space (method)
  get_feature (method)
  get_feature_class (method)
  get_feature_type (method)
  get_full_feature_matrix (method)
  get_full_feature_vector (method)
  get_global_io (method)
  get_global_parallel (method)
  get_global_version (method)
  get_mean (static method)
  get_modelsel_names (method)
  get_modsel_param_descr (method)
  get_modsel_param_index (method)
  get_name (method)
  get_nnz_features_for_vector (method)
  get_num_features (method)
  get_num_nonzero_entries (method)
  get_num_preprocessed (method)
  get_num_preprocessors (method)
  get_num_vectors (method)
  get_preprocessor (method)
  get_size (method)
  get_sparse_feature_matrix (method)
  get_sparse_feature_vector (method)
  get_transposed (method)
  has_property (method)
  has_subset (method)
  io (variable)
  is_generic (method)
  is_preprocessed (method)
  list_feature_obj (method)
  load (method)
  load_all_file_parameters (method)
  load_file_parameters (method)
  load_serializable (method)
  load_svmlight_file (method)
  m_model_selection_parameters (variable)
  m_parameter_map (variable)
  m_parameters (variable)
  map_parameters (method)
  obtain_from_simple (method)
  parallel (variable)
  print_modsel_params (method)
  print_serializable (method)
  ref_count (method)
  remove_subset (method)
  reshape (method)
  save (method)
  save_serializable (method)
  set_combined_feature_weight (method)
  set_full_feature_matrix (method)
  set_global_io (method)
  set_global_parallel (method)
  set_global_version (method)
  set_num_features (method)
  set_preprocessed (method)
  set_property (method)
  set_sparse_feature_matrix (method)
  set_subset (method)
  sort_features (method)
  subset_changed_post (method)
  subset_idx_conversion (method)
  unset_generic (method)
  unset_property (method)
  version (variable)
  write_svmlight_file (method)
}

a_out =

   0.84442   0.00000   0.78380   0.00000   0.00000
   0.75795   0.00000   0.00000   0.90811   0.75580
   0.00000   0.00000   0.00000   0.00000   0.00000

z =

Compressed Column Sparse (rows = 3, cols = 5, nnz = 5 [33%])

  (1, 1) ->  0.84442
  (2, 1) ->  0.75795
  (1, 3) ->  0.78380
  (2, 4) ->  0.90811
  (2, 5) ->  0.75580