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stress_at_work_analysis
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Fix error with method name.

ml_pipeline
Primoz 2023-02-06 11:54:54 +01:00
parent 93a34986d9
commit d06da18c26
1 changed files with 1 additions and 1 deletions
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exploration/expl_features_groups_analysis.py
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@ -311,7 +311,7 @@ for i, sensor_group in enumerate(sensor_groups_importance_scores):
current_sensor_features = [col for col in model_input if col.startswith(sensor_group[0])] current_sensor_features = [col for col in model_input if col.startswith(sensor_group[0])]
current_sensor_features_scores = find_sensor_group_features_importance(model_input, current_sensor_features) current_sensor_features_scores = find_sensor_group_features_importance(model_input, current_sensor_features)
xs, y_recall, y_fscore, recall_std, fscore_std = sort_tuples_to_lists(current_sensor_features_scores) xs, y_recall, y_fscore, recall_std, fscore_std = sort_tuples_to_lists(current_sensor_features_scores)
feature_sequence = pd.concatinate([feature_sequence, pd.DataFrame({"sensor_name":sensor_group[0], "feature_sequence": [xs], "recall": [y_recall], feature_sequence = pd.concat([feature_sequence, pd.DataFrame({"sensor_name":sensor_group[0], "feature_sequence": [xs], "recall": [y_recall],
"f1_score": [y_fscore], "recall_std": [recall_std], "f1_std": [fscore_std]})]) "f1_score": [y_fscore], "recall_std": [recall_std], "f1_std": [fscore_std]})])
plot_sequential_progress_of_feature_addition_scores(xs, y_recall, y_fscore, recall_std, fscore_std, plot_sequential_progress_of_feature_addition_scores(xs, y_recall, y_fscore, recall_std, fscore_std,