API for cramR
Cram Method for Efficient Simultaneous Learning and Evaluation
| Global functions | |
|---|---|
| .onLoad | Source code |
| .onUnload | Source code |
| BatchContextualEpsilonGreedyPolicy | Man page |
| BatchContextualLinTSPolicy | Man page |
| BatchLinUCBDisjointPolicyEpsilon | Man page |
| ContextualLinearBandit | Man page |
| LinUCBDisjointPolicyEpsilon | Man page |
| check_lengths | Source code |
| compute_loss | Source code |
| cram_bandit | Man page Source code |
| cram_bandit_est | Man page Source code |
| cram_bandit_sim | Man page Source code |
| cram_bandit_var | Man page Source code |
| cram_estimator | Man page Source code |
| cram_expected_loss | Man page Source code |
| cram_learning | Man page Source code |
| cram_ml | Man page Source code |
| cram_policy | Man page Source code |
| cram_policy_value_estimator | Man page Source code |
| cram_simulation | Man page Source code |
| cram_var_expected_loss | Man page Source code |
| cram_variance_estimator | Man page Source code |
| cram_variance_estimator_policy_value | Man page Source code |
| create_cumulative_data | Source code |
| create_cumulative_data_ml | Source code |
| ensure_caret_dependencies | Source code |
| expected_outcome | Source code |
| export_cluster_variables | Source code |
| fit_model | Man page Source code |
| fit_model_ml | Man page Source code |
| get_betas | Man page |
| get_loss_function | Source code |
| ml_learning | Man page Source code |
| model_predict | Man page Source code |
| model_predict_ml | Man page Source code |
| retrieve_and_validate_model | Source code |
| set_model | Man page Source code |
| test_baseline_policy | Man page Source code |
| test_batch | Man page Source code |
| validate_params | Man page Source code |
| validate_params_fnn | Man page Source code |
