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| base_learner_builder (std::unique_ptr< DataT > &&data, const std::string &name, prediction_type_t pred_type, label_type_t label_type) |
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base_learner_builder< DataT, ExampleT > & | set_params_per_weight (size_t params_per_weight) |
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learner< DataT, ExampleT > * | build () |
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| common_learner_builder (learner< DataT, ExampleT > *learner, std::unique_ptr< DataT > &&data, const std::string &name) |
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| common_learner_builder (std::unique_ptr< DataT > &&data, const std::string &name) |
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base_learner_builder< DataT, ExampleT > & | set_predict (void(*fn_ptr)(DataT &, base_learner &, ExampleT &)) |
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base_learner_builder< DataT, ExampleT > & | set_learn (void(*fn_ptr)(DataT &, base_learner &, ExampleT &)) |
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base_learner_builder< DataT, ExampleT > & | set_multipredict (void(*fn_ptr)(DataT &, base_learner &, ExampleT &, size_t, size_t, polyprediction *, bool)) |
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base_learner_builder< DataT, ExampleT > & | set_update (void(*u)(DataT &data, base_learner &base, ExampleT &)) |
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base_learner_builder< DataT, ExampleT > & | set_sensitivity (float(*fn_ptr)(DataT &data, base_learner &base, example &)) |
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base_learner_builder< DataT, ExampleT > & | set_learn_returns_prediction (bool learn_returns_prediction) |
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base_learner_builder< DataT, ExampleT > & | set_save_load (void(*fn_ptr)(DataT &, io_buf &, bool, bool)) |
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base_learner_builder< DataT, ExampleT > & | set_finish (void(*fn_ptr)(DataT &)) |
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base_learner_builder< DataT, ExampleT > & | set_end_pass (void(*fn_ptr)(DataT &)) |
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base_learner_builder< DataT, ExampleT > & | set_end_examples (void(*fn_ptr)(DataT &)) |
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base_learner_builder< DataT, ExampleT > & | set_init_driver (void(*fn_ptr)(DataT &)) |
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base_learner_builder< DataT, ExampleT > & | set_finish_example (void(*fn_ptr)(vw &all, DataT &, ExampleT &)) |
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base_learner_builder< DataT, ExampleT > & | set_print_example (void(*fn_ptr)(vw &all, DataT &, ExampleT &)) |
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base_learner_builder< DataT, ExampleT > & | set_persist_metrics (void(*fn_ptr)(DataT &, metric_sink &)) |
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