Here is a list of all namespace members with links to the namespace documentation for each member:

- s -

• save_as_sparse_weights_txt() : dismec::io::model
• save_dense_predictions_as_npy() : dismec::io::prediction
• save_dense_predictions_as_txt() : dismec::io::prediction
• save_dense_weights_npy() : dismec::io::model
• save_dense_weights_txt() : dismec::io::model
• save_div() : dismec::confusion_matrix_detail
• save_matrix_to_npy() : dismec::io
• save_matrix_to_npy_imp() : anonymous_namespace{numpy.cpp}
• save_model() : dismec::io::model
• save_sparse_predictions() : dismec::io::prediction
• save_weights() : anonymous_namespace{weights.cpp}
• save_weights_dispatch() : anonymous_namespace{model-io.cpp}
• save_xmc() : anonymous_namespace{py_data.cpp}
• save_xmc_dataset() : dismec::io
• sensitivity() : dismec::confusion_matrix_detail
• set_features_dense() : anonymous_namespace{py_data.cpp}
• set_features_sparse() : anonymous_namespace{py_data.cpp}
• set_thread_affinity() : anonymous_namespace{numa.cpp}
• shortlist_features() : dismec
• skip_whitespace() : anonymous_namespace{numpy.cpp}
• sort_features_by_frequency() : dismec
• sparse_col_major_h : dismec::types::type_helpers
• sparse_row_major_h : dismec::types::type_helpers
• sparse_vector_h : dismec::types::type_helpers
• SparseColMajor : dismec::types::type_helpers::definitions
• SparseFeatures : dismec
• SparseRealVector : dismec
• SparseRowMajor : dismec::types::type_helpers::definitions
• SparseVector : dismec::types::type_helpers::definitions
• specificity() : dismec::confusion_matrix_detail
• ssize() : dismec
• ssizeof : dismec
• STAT_ABSOLUTE_STEP : anonymous_namespace{newton.cpp}
• STAT_BINARY_SEARCH_STEPS : anonymous_namespace{sparsify.cpp}
• STAT_CG_ITERS : anonymous_namespace{newton.cpp}
• STAT_CUTOFF : anonymous_namespace{sparsify.cpp}
• STAT_DURATION : anonymous_namespace{sparsify.cpp} , anonymous_namespace{statistics.cpp}
• STAT_FINAL_GRAD : anonymous_namespace{statistics.cpp}
• STAT_FINAL_LOSS : anonymous_namespace{statistics.cpp}
• STAT_GRAD_SPARSITY : anonymous_namespace{generic_linear.cpp} , anonymous_namespace{reg_sq_hinge.cpp}
• STAT_GRADIENT : anonymous_namespace{newton.cpp}
• STAT_GRADIENT_NORM : anonymous_namespace{newton.cpp}
• STAT_GRADIENT_NORM_0 : anonymous_namespace{newton.cpp}
• stat_id_t : dismec::stats
• STAT_INIT_GRAD : anonymous_namespace{statistics.cpp}
• STAT_INIT_LOSS : anonymous_namespace{statistics.cpp}
• STAT_INIT_VECTOR : anonymous_namespace{statistics.cpp}
• STAT_INITIAL_STEPS : anonymous_namespace{sparsify.cpp}
• STAT_ITER_TIME : anonymous_namespace{newton.cpp}
• STAT_LABEL_FREQ : anonymous_namespace{statistics.cpp}
• STAT_LABEL_ID : anonymous_namespace{statistics.cpp}
• STAT_LINESEARCH_STEPSIZE : anonymous_namespace{newton.cpp}
• STAT_LS_FAIL : anonymous_namespace{newton.cpp}
• STAT_LS_STEPS : anonymous_namespace{newton.cpp}
• STAT_NNZ : anonymous_namespace{sparsify.cpp}
• STAT_NUM_ITERS : anonymous_namespace{statistics.cpp}
• STAT_OBJECTIVE_VALUE : anonymous_namespace{newton.cpp}
• STAT_PERF_GRAD_AND_PRE : anonymous_namespace{objective.cpp}
• STAT_PERF_GRAD_AT_ZERO : anonymous_namespace{objective.cpp}
• STAT_PERF_GRADIENT : anonymous_namespace{objective.cpp}
• STAT_PERF_HESSIAN : anonymous_namespace{objective.cpp}
• STAT_PERF_MATMUL : anonymous_namespace{dense_and_sparse.cpp} , anonymous_namespace{linear.cpp}
• STAT_PERF_PRECONDITIONER : anonymous_namespace{objective.cpp}
• STAT_PERF_PROJ_TO_LINE : anonymous_namespace{objective.cpp}
• STAT_PERF_VALUE : anonymous_namespace{objective.cpp}
• STAT_PRECONDITIONER : anonymous_namespace{newton.cpp}
• STAT_PROGRESS : anonymous_namespace{newton.cpp}
• STAT_TRAINING_SHIFT : anonymous_namespace{statistics.cpp}
• STAT_WEIGHT_VECTOR : anonymous_namespace{newton.cpp} , anonymous_namespace{statistics.cpp}
• str_to_id() : anonymous_namespace{collection.cpp}
• SubModelView : dismec::model