Index A | B | C | E | F | G | H | I | M | N | P | Q | R | S | T | V A action_selection (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) async_gen() (rdagent.core.proposal.ExpGen method) B bench_data_path (rdagent.components.benchmark.conf.BenchmarkSettings attribute) bench_method_cls (rdagent.components.benchmark.conf.BenchmarkSettings attribute) bench_method_extra_kwargs (rdagent.components.benchmark.conf.BenchmarkSettings attribute) bench_result_path (rdagent.components.benchmark.conf.BenchmarkSettings attribute) bench_test_case_n (rdagent.components.benchmark.conf.BenchmarkSettings attribute) bench_test_round (rdagent.components.benchmark.conf.BenchmarkSettings attribute) BenchmarkSettings.Config (class in rdagent.components.benchmark.conf) C CheckpointSelector (class in rdagent.core.proposal) coder (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) convert() (rdagent.core.proposal.Hypothesis2Experiment method) E env_prefix (rdagent.components.benchmark.conf.BenchmarkSettings.Config attribute) evolving_n (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) Experiment2Feedback (class in rdagent.core.proposal) ExperimentFeedback (class in rdagent.core.proposal) ExpGen (class in rdagent.core.proposal) ExpPlanner (class in rdagent.core.proposal) F factor_coder (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) factor_hypothesis2experiment (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) factor_runner (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) factor_summarizer (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) from_exception() (rdagent.core.proposal.ExperimentFeedback class method) G gen() (rdagent.core.proposal.ExpGen method) (rdagent.core.proposal.HypothesisGen method) generate_feedback() (rdagent.core.proposal.Experiment2Feedback method) get_children() (rdagent.core.proposal.Trace method) get_parent_exps() (rdagent.core.proposal.Trace method) get_selection() (rdagent.core.proposal.CheckpointSelector method) get_sota_exp_to_submit() (rdagent.core.proposal.SOTAexpSelector method) get_sota_experiment() (rdagent.core.proposal.Trace method) get_sota_hypothesis_and_experiment() (rdagent.core.proposal.Trace method) H Hypothesis (class in rdagent.core.proposal) Hypothesis2Experiment (class in rdagent.core.proposal) hypothesis2experiment (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) hypothesis_gen (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) HypothesisFeedback (class in rdagent.core.proposal) HypothesisGen (class in rdagent.core.proposal) I is_selection_new_tree() (rdagent.core.proposal.Trace method) M max_factors_per_exp (rdagent.app.qlib_rd_loop.conf.FactorFromReportPropSetting attribute) model_coder (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) model_hypothesis2experiment (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) model_runner (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) model_summarizer (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) module rdagent.core.proposal N NodeType (rdagent.core.proposal.Trace attribute) P plan() (rdagent.core.proposal.ExpPlanner method) Q quant_hypothesis_gen (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) R rdagent.core.proposal module report_limit (rdagent.app.qlib_rd_loop.conf.FactorFromReportPropSetting attribute) report_result_json_file_path (rdagent.app.qlib_rd_loop.conf.FactorFromReportPropSetting attribute) reset() (rdagent.core.proposal.ExpGen method) runner (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) S scen (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.FactorFromReportPropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) SOTAexpSelector (class in rdagent.core.proposal) summarizer (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) sync_dag_parent_and_hist() (rdagent.core.proposal.Trace method) T test_end (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) test_start (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) Trace (class in rdagent.core.proposal) train_end (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) train_start (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) V valid_end (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute) valid_start (rdagent.app.qlib_rd_loop.conf.FactorBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.ModelBasePropSetting attribute) (rdagent.app.qlib_rd_loop.conf.QuantBasePropSetting attribute)