deepinsight.doctor.crossval package¶
Submodules¶
deepinsight.doctor.crossval.grid_search_cv module¶
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class
deepinsight.doctor.crossval.grid_search_cv.CVInterruptWatcherThread(parallel, m_folder=None, n_splits=None, n_candidates=None, timeout=None, n_jobs=None, evaluation_metric=None, metric_sign=1)¶ Bases:
threading.Thread-
aggregate_grid_dir()¶
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cleanup()¶
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process_line(line)¶
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run()¶
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class
deepinsight.doctor.crossval.grid_search_cv.DkuParameterGrid(param_grid)¶ Bases:
object-
grid_with_index()¶
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class
deepinsight.doctor.crossval.grid_search_cv.GridSearcher(estimator, param_grid, scoring=None, fit_params=None, n_jobs=1, cv=None, verbose=0, pre_dispatch='n_jobs', error_score='raise', m_folder=None, randomized=False, random_state=None, n_iter=None, timeout=None, evaluation_metric=None, algo_supports_weight=True, custom_evaluation_metric_gib=True)¶ Bases:
object-
get_best_estimator(X, y, groups=None, sample_weight=None, class_weight=None)¶
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get_score_info()¶
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static
get_sign(scoring, custom_evaluation_metric_gib)¶
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skip_hyperparam_search()¶
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class
deepinsight.doctor.crossval.grid_search_cv.RandomDkuParameterGrid(param_grid, random_state=None)¶ Bases:
deepinsight.doctor.crossval.grid_search_cv.DkuParameterGrid-
grid_with_index()¶
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deepinsight.doctor.crossval.grid_search_cv.get_grid_point_id(parameters=None, split_id=None)¶