- c -

• CG_DEFAULT_EPSILON : dismec
• CG_MIN_ITER_BOUND : dismec
• COST_PLACE_HYPER_THREAD : dismec::parallel
• COST_PLACE_THREAD : dismec::parallel

- i -

• is_variant_wrapper : dismec::types

- m -

• MAGIC : anonymous_namespace{numpy.cpp}
• MAGIC_SIZE : anonymous_namespace{numpy.cpp}
• MIN_TIME_PER_CHUNK_MS : dismec

- n -

• NPY_PADDING : anonymous_namespace{numpy.cpp}

- p -

• PREDICTION_METRICS_CHUNK_SIZE : dismec
• PREDICTION_RUN_CHUNK_SIZE : dismec

- s -

• 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_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}

- t -

• TAG_ITERATION : anonymous_namespace{newton.cpp} , anonymous_namespace{null.cpp}
• TAG_LABEL_FREQ : anonymous_namespace{statistics.cpp}
• TAG_LABEL_ID : anonymous_namespace{statistics.cpp}

- w -

• weight_format_names : anonymous_namespace{model-io.cpp}
• weight_format_sparsity : anonymous_namespace{model-io.cpp}