зеркало из https://github.com/microsoft/qlib.git
c9ed050ef0
* Init model for both dataset * Remove some deprecated code * Add model template; * We must align with previous results * We choose another mode as the initial version * Almost success to run GRU * Successfully run training * Passed general_nn test * gru test * Alignment test passed * comment * fix readme & minor errors * general nn updates & benchmarks * Update examples/benchmarks/GeneralPtNN/workflow_config_gru2mlp.yaml --------- Co-authored-by: Young <afe.young@gmail.com> Co-authored-by: you-n-g <you-n-g@users.noreply.github.com> |
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| .. | ||
| backtest | ||
| data_mid_layer_tests | ||
| dataset_tests | ||
| dependency_tests | ||
| misc | ||
| model | ||
| ops | ||
| rl | ||
| rolling_tests | ||
| storage_tests | ||
| conftest.py | ||
| pytest.ini | ||
| test_all_pipeline.py | ||
| test_contrib_model.py | ||
| test_contrib_workflow.py | ||
| test_dump_data.py | ||
| test_get_data.py | ||
| test_pit.py | ||
| test_register_ops.py | ||
| test_structured_cov_estimator.py | ||
| test_workflow.py | ||