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| 1 | /* | |
| 2 | * This program is free software; you can redistribute it and/or modify | |
| 3 | * it under the terms of the GNU General Public License as published by | |
| 4 | * the Free Software Foundation; either version 3 of the License, or | |
| 5 | * (at your option) any later version. | |
| 6 | * | |
| 7 | * Written (W) 2012 Heiko Strathmann | |
| 8 | */ | |
| 9 | ||
| 10 | #ifndef __STREAMINGDENSEDATAGENERATOR_H_ | |
| 11 | #define __STREAMINGDENSEDATAGENERATOR_H_ | |
| 12 | ||
| 13 | #include <shogun/features/streaming/StreamingDenseFeatures.h> | |
| 14 | ||
| 15 | namespace shogun | |
| 16 | {
| |
| 17 | ||
| 18 | enum EDenseDataGenerator | |
| 19 | {
| |
| 20 | DGD_NONE, DGD_MEAN_SHIFT, DGD_ROT_SYM_GAUSS | |
| 21 | }; | |
| 22 | ||
| 23 | /** @brief | |
| 24 | * Class to generate dense features data via the streaming features interface. | |
| 25 | * The core are pairs of methods to | |
| 26 | * a) set the data model and parameters, and | |
| 27 | * b) to generate a data vector using these model parameters | |
| 28 | * Both methods are automatically called when calling get_next_example() | |
| 29 | * This allows to treat generated data as a stream via the standard streaming | |
| 30 | * features interface | |
| 31 | */ | |
| 32 | - | template <class T> |
| 32 | + | template <class T> class CStreamingDenseDataGenerator: public CStreamingDenseFeatures<T> |
| 33 | - | class CStreamingDenseDataGenerator: public CStreamingDenseFeatures<T> |
| 33 | + | |
| 34 | public: | |
| 35 | /** Constructor */ | |
| 36 | CStreamingDenseDataGenerator(); | |
| 37 | ||
| 38 | /** Destructor */ | |
| 39 | virtual ~CStreamingDenseDataGenerator(); | |
| 40 | ||
| 41 | /** @return name of SG_SERIALIZABLE */ | |
| 42 | inline virtual const char* get_name() const | |
| 43 | {
| |
| 44 | return "StreamingDenseDataGenerator"; | |
| 45 | } | |
| 46 | ||
| 47 | void set_mean_shift_model(T mean_shift, index_t dim); | |
| 48 | ||
| 49 | /** Takes a sample from two a distribution where each element | |
| 50 | * is standard normally distributed, except for the first dimension, | |
| 51 | * where the mean is shifted by a specified value. | |
| 52 | * | |
| 53 | * @param dim dimension of generated samples | |
| 54 | * @param mean_shift is added to mean of first dimension | |
| 55 | * @return dimx1 vector with sample | |
| 56 | */ | |
| 57 | static SGVector<T> generate_mean_shift_data(index_t dim, T mean_shift); | |
| 58 | ||
| 59 | bool get_next_example(); | |
| 60 | private: | |
| 61 | /** registers all parameters and initializes variables with defaults */ | |
| 62 | void init(); | |
| 63 | ||
| 64 | protected: | |
| 65 | /** model of data to generate */ | |
| 66 | EDenseDataGenerator m_model; | |
| 67 | ||
| 68 | /** parameters of model */ | |
| 69 | Parameter* m_model_parameters; | |
| 70 | }; | |
| 71 | ||
| 72 | } | |
| 73 | ||
| 74 | #endif /* __STREAMINGDENSEDATAGENERATOR_H_ */ |
