mvpa2.kernels.sg.RealFeatures¶
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class
mvpa2.kernels.sg.RealFeatures¶ shogun::CDenseFeatures< float64_t >
Methods
acquireacquires ownership of the pointer add_preprocessor(p)add_subset(subset)appendappends another ‘this’ object apply_preprocessor(...)apply_preprocessor() -> bool benchmark_add_to_dense_vector([repeats])benchmark_dense_dot_range([repeats])build_gradient_parameter_dictionary(dict)check_feature_compatibility((f) -> bool)clean_preprocessors()clone(() -> SGObject)compute_cov((lhs, rhs) -> RealMatrix)copy_feature_matrix(src)copy_subset((indices) -> Features)create_merged_copy((other) -> Features)create_merged_copy(other) -> Features deep_copy(() -> SGObject)del_preprocessor(num)dense_dot_sgvec((vec_idx1, vec2) -> float64_t)disownreleases ownership of the pointer dot((vec_idx1, df, vec_idx2) -> float64_t)duplicate(() -> Features)equals((other[, accuracy])equals(other) -> bool free_feature_matrix()free_features()frombuffer((exporter, copy) -> int)get_cache_size(() -> int32_t)get_combined_feature_weight(() -> float64_t)get_computed_dot_feature_matrix(() -> RealMatrix)get_computed_dot_feature_vector(...)get_cov(() -> RealMatrix)get_dim_feature_space(() -> int32_t)get_feature_class(() -> shogun::EFeatureClass)get_feature_matrix(() -> RealMatrix)get_feature_type(() -> shogun::EFeatureType)get_feature_vector((num) -> RealVector)get_global_io(() -> SGIO)get_global_parallel(() -> Parallel)get_global_version(() -> Version)get_mean(() -> RealVector)get_mean(lhs, rhs) -> RealVector get_modelsel_names(() -> CharStringList)get_modsel_param_descr((param_name) -> char *)get_modsel_param_index((param_name) -> index_t)get_name(() -> char const *)get_nnz_features_for_vector((num) -> int32_t)get_num_features(() -> int32_t)get_num_preprocessed(() -> int32_t)get_num_preprocessors(() -> int32_t)get_num_vectors(() -> int32_t)get_preprocessor((num) -> Preprocessor)get_subset_stack(() -> CSubsetStack *)get_transposed(() -> RealFeatures)has_property((p) -> bool)initialize_cache()is_equal((rhs) -> bool)is_generic((generic) -> bool)is_preprocessed((num) -> bool)list_feature_obj()list_preprocessors()load(loader)load_all_file_parameters((file_version, ...)load_all_file_parameters(file_version, current_version, file) -> shogun::DynArray< shogun::TParameter * > load_file_parameters((param_info, ...[, prefix])load_file_parameters(param_info, file_version, file) -> shogun::DynArray< shogun::TParameter * > load_serializable((file[, prefix, param_version])load_serializable(file, prefix=””) -> bool map_parameters(param_base, base_version, ...)nextreturns the next ‘this’ object obtain_from_dot(df)obtain_from_generic(...)ownreturns/sets ownership of the pointer print_modsel_params()print_serializable([prefix])ref_count(() -> int32_t)remove_all_subsets()remove_subset()reshape((num_features, num_vectors) -> bool)save(writer)save_serializable((file[, prefix, param_version])save_serializable(file, prefix=””) -> bool set_combined_feature_weight(nw)set_feature_matrix(matrix)set_feature_vector(vector, num)set_global_io(io)set_global_parallel(parallel)set_global_version(version)set_num_features(num)set_num_vectors(num)set_preprocessed(num)set_property(p)shallow_copy(() -> SGObject)steal_feature_matrix(() -> RealMatrix)subset_changed_post()unset_generic()unset_property(p)update_parameter_hash(() -> bool)-
apply_preprocessor(force_preprocessing=False) → bool¶ apply_preprocessor() -> bool
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copy_feature_matrix(src)¶
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create_merged_copy(other) → Features¶ create_merged_copy(other) -> Features
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free_feature_matrix()¶
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free_features()¶
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frombuffer(exporter, copy) → int¶
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get_feature_matrix() → RealMatrix¶
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get_feature_vector(num) → RealVector¶
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get_num_features() → int32_t¶
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get_transposed() → RealFeatures¶
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initialize_cache()¶
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is_equal(rhs) → bool¶
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obtain_from_dot(df)¶
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static
obtain_from_generic(base_features) → RealFeatures¶
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set_feature_matrix(matrix)¶
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set_feature_vector(vector, num)¶
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set_num_features(num)¶
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set_num_vectors(num)¶
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steal_feature_matrix() → RealMatrix¶
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this¶
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thisown¶
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