autogluon/autogluon

27.4

Adjusted Score

27.4

Raw Score

100%

Time Factor

2026-07-14

Last Push

10.5K

Stars

Python

Language

196.2K

Lines of Code

1.1K

Files

4.0K

Pattern Hits

2026-07-14

Scan Date

0.21

HC Hit Rate

What These Metrics Mean

Adjusted Score: Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score: The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor: The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits: Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate: High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files: Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.

No multi-scan history yet — run the scanner again to build trend data.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 5HIGH 237MEDIUM 131LOW 3598

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 3971 distinct pattern matches across 21 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Hyper-Verbose Identifiers1950 hits · 1984 pts

Severity	File	Line	Snippet	Context
LOW	core/tests/conftest.py	16	def pytest_collection_modifyitems(config, items):	CODE
LOW	core/tests/unittests/test_search_space.py	26	def test_search_space_dot_key():	CODE
LOW	core/tests/unittests/test_feature_selection.py	46	def test_merge_importance_dfs_base(sample_features):	CODE
LOW	core/tests/unittests/test_feature_selection.py	52	def test_merge_importance_dfs_same_model(sample_features, sample_importance_df_1, sample_importance_df_2):	CODE
LOW	core/tests/unittests/test_feature_selection.py	66	def test_merge_importance_dfs_different_model(sample_features, sample_importance_df_1, sample_importance_df_2):	CODE
LOW	core/tests/unittests/test_feature_selection.py	82	def test_merge_importance_dfs_all(sample_features, sample_importance_df_1, sample_importance_df_2):	CODE
LOW⚡	core/tests/unittests/test_feature_selection.py	98	def test_sort_features_by_priority_base(sample_features):	CODE
LOW⚡	core/tests/unittests/test_feature_selection.py	106	def test_sort_features_by_priority_same_model(sample_features):	CODE
LOW⚡	core/tests/unittests/test_feature_selection.py	115	def test_sort_features_by_priority_different_model(sample_features):	CODE
LOW	core/tests/unittests/test_feature_selection.py	132	def test_sort_features_by_priority_all(sample_features):	CODE
LOW	core/tests/unittests/test_parallel_local_folding.py	35	def _construct_dummy_fold_strategy(num_jobs, model_base_cls=AbstractModel, time_limit=None, num_folds_parallel=8):	CODE
LOW	core/tests/unittests/test_parallel_local_folding.py	64	def _test_resource_allocation_and_time_limit(num_jobs, num_folds_parallel, time_limit):	CODE
LOW	core/tests/unittests/test_parallel_local_folding.py	94	def test_resource_allocation_and_time_limit():	CODE
LOW	core/tests/unittests/test_parallel_local_folding.py	112	def test_dynamic_resource_allocation(resource_cal, mock_get_mem):	CODE
LOW	…e/tests/unittests/searcher/test_local_grid_searcher.py	5	def test_local_grid_searcher_categorical():	CODE
LOW	…e/tests/unittests/searcher/test_local_grid_searcher.py	61	def test_local_grid_searcher_numeric():	CODE
LOW	…e/tests/unittests/searcher/test_local_grid_searcher.py	84	def test_local_grid_searcher_numeric_grid_settings():	CODE
LOW	…tests/unittests/searcher/test_local_random_searcher.py	25	def test_local_random_searcher():	CODE
LOW	core/tests/unittests/searcher/test_local_searcher.py	56	def test_local_searcher_pickle(self):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	146	def test_metrics_perfect_binary(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	152	def test_metrics_perfect_multiclass(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	161	def test_metrics_perfect_raises_binary_single_sample(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	169	def test_metrics_perfect_binary_single_sample(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	175	def test_metrics_perfect_multiclass_single_sample(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	180	def test_metrics_perfect_str_multiclass(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	187	def test_metrics_perfect_str_binary(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	198	def test_metrics_perfect_proba_raises_str_binary(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	206	def test_metrics_perfect_proba_raises_str_multiclass(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	214	def test_metrics_perfect_regression(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	220	def test_metrics_imperfect_binary(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	225	def test_metrics_imperfect_multiclass(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	230	def test_metrics_imperfect_regression(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	235	def test_metrics_imperfect_str_binary(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	245	def test_metrics_imperfect_str_multiclass(metric: str):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	250	def _assert_valid_scorer_classifier(scorer: Scorer):	CODE
LOW⚡	core/tests/unittests/metrics/test_metrics.py	260	def _assert_valid_scorer_regressor(scorer: Scorer):	CODE
LOW	core/tests/unittests/metrics/test_metrics.py	288	def _assert_perfect_score_single_sample(scorer: Scorer, abs_tol=1e-5):	CODE
LOW	core/tests/unittests/metrics/test_metrics.py	298	def _assert_perfect_score_generic(scorer: Scorer, y_true, y_pred, abs_tol=1e-5):	CODE
LOW	core/tests/unittests/metrics/test_metrics.py	312	def _assert_perfect_score_str_binary(scorer: Scorer, abs_tol=1e-5):	CODE
LOW	core/tests/unittests/metrics/test_metrics.py	322	def _assert_perfect_score_str_multiclass(scorer: Scorer, abs_tol=1e-5):	CODE
LOW	core/tests/unittests/metrics/test_metrics.py	342	def _assert_imperfect_score_str_binary(scorer: Scorer, abs_tol: float = 1e-5):	CODE
LOW	core/tests/unittests/metrics/test_metrics.py	360	def _assert_imperfect_score_str_multiclass(scorer: Scorer, abs_tol: float = 1e-5):	CODE
LOW	core/tests/unittests/metrics/test_metrics.py	378	def _assert_imperfect_score_generic(scorer: Scorer, y_true, y_pred, abs_tol: float = 1e-5) -> float:	CODE
LOW	core/tests/unittests/metrics/test_quantile_metrics.py	7	def test_invalid_quantile_values_shape_raises():	CODE
LOW	core/tests/unittests/metrics/test_quantile_metrics.py	18	def test_mismatched_target_prediction_length_raises():	CODE
LOW	core/tests/unittests/metrics/test_quantile_metrics.py	29	def test_mismatched_quantiles_raises():	CODE
LOW	core/tests/unittests/metrics/test_quantile_metrics.py	54	def test_multiple_predictions():	CODE
LOW	core/tests/unittests/metrics/test_quantile_metrics.py	68	def test_multiple_predictions_with_weights():	CODE
LOW	…tests/unittests/metrics/test_classification_metrics.py	9	def test_confusion_matrix_with_valid_inputs_without_labels_and_weights():	CODE
LOW	…tests/unittests/metrics/test_classification_metrics.py	22	def test_confusion_matrix_with_valid_inputs_with_labels_and_without_weights():	CODE
LOW	…tests/unittests/metrics/test_classification_metrics.py	36	def test_confusion_matrix_with_valid_inputs_with_labels_and_with_weights():	CODE
LOW	…tests/unittests/metrics/test_classification_metrics.py	51	def test_confusion_matrix_with_valid_inputs_with_lesser_number_of_labels_and_without_weights():	CODE
LOW⚡	…tests/unittests/metrics/test_classification_metrics.py	65	def test_confusion_matrix_with_unequal_samples():	CODE
LOW⚡	…tests/unittests/metrics/test_classification_metrics.py	75	def test_confusion_matrix_with_multioutput_samples():	CODE
LOW⚡	…tests/unittests/metrics/test_classification_metrics.py	85	def test_confusion_matrix_with_empty_labels():	CODE
LOW	…tests/unittests/metrics/test_classification_metrics.py	107	def test_confusion_matrix_with_invalid_weights():	CODE
LOW	…tests/unittests/metrics/test_classification_metrics.py	118	def test_confusion_matrix_with_empty_inputs():	CODE
LOW	…tests/unittests/metrics/test_classification_metrics.py	164	def test_log_loss_single_binary_class():	CODE
LOW	…tests/unittests/metrics/test_classification_metrics.py	178	def test_log_loss_with_sklearn(gt, probs):	CODE
LOW	…tests/unittests/metrics/test_classification_metrics.py	191	def test_roc_auc_score_with_sklearn():	CODE
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Cross-Language Confusion148 hits · 898 pts

Severity	File	Line	Snippet	Context
HIGH⚡	core/tests/unittests/utils/test_utils.py	124	assert X_train.equals(X_train_v2)	CODE
HIGH⚡	core/tests/unittests/utils/test_utils.py	125	assert y_train.equals(y_train_v2)	CODE
HIGH⚡	core/tests/unittests/utils/test_utils.py	126	assert X_test.equals(X_test_v2)	CODE
HIGH⚡	core/tests/unittests/utils/test_utils.py	127	assert y_test.equals(y_test_v2)	CODE
HIGH⚡	core/tests/unittests/utils/test_utils.py	136	assert X_test.equals(X_test_v3.loc[X_test.index])	CODE
HIGH⚡	core/tests/unittests/utils/test_utils.py	137	assert y_test.equals(y_test_v3.loc[y_test.index])	CODE
HIGH⚡	core/tests/unittests/utils/test_augment_rare_classes.py	52	assert out.equals(X)	CODE
HIGH	core/tests/unittests/utils/test_augment_rare_classes.py	122	assert out.equals(X)	CODE
HIGH⚡	timeseries/tests/unittests/test_splitter.py	21	assert train_fold.static_features.equals(original_df.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_splitter.py	22	assert val_fold.static_features.equals(original_df.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_splitter.py	31	assert train_fold.columns.equals(original_columns)	CODE
HIGH⚡	timeseries/tests/unittests/test_splitter.py	32	assert val_fold.columns.equals(original_columns)	CODE
HIGH⚡	timeseries/tests/unittests/test_predictor.py	1880	assert predictions_index_df.equals(predictor.make_future_data_frame(data))	CODE
HIGH⚡	timeseries/tests/unittests/test_predictor.py	2212	assert predictions_loaded.index.equals(predictions_original.index)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	564	assert read_df.static_features.equals(input_df.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	571	assert input_df.static_features.equals(copied_df.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	579	assert input_df.static_features.equals(copied_df.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	612	assert renamed_df.static_features.equals(input_df.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	622	assert dfv.static_features.equals(df.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	641	assert dfv.static_features.equals(df.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	650	assert left.static_features.equals(SAMPLE_TS_DATAFRAME_STATIC.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	651	assert right.static_features.equals(SAMPLE_TS_DATAFRAME_STATIC.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	734	assert ts_df.static_features.equals(SAMPLE_TS_DATAFRAME_STATIC.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	824	assert ts_df.static_features.index.equals(SAMPLE_TS_DATAFRAME_STATIC.static_features.index)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	825	assert ts_df.static_features.columns.equals(SAMPLE_TS_DATAFRAME_STATIC.static_features.columns)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	848	assert df_filled.index.equals(df.index)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	859	assert df_filled.index.equals(df.index)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	870	assert df_filled.index.equals(df.index)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	945	assert df.equals(df_resampled)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	953	assert df.equals(SAMPLE_TS_DATAFRAME)	CODE
HIGH⚡	timeseries/tests/unittests/test_ts_dataset.py	961	assert df_resampled.static_features.equals(df.static_features)	CODE
HIGH	timeseries/tests/unittests/test_ts_dataset.py	595	assert renamed_df.static_features.equals(input_df.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/test_transforms.py	36	assert data.equals(data_original)	CODE
HIGH⚡	timeseries/tests/unittests/test_transforms.py	37	assert not data.equals(data_transformed)	CODE
HIGH⚡	timeseries/tests/unittests/test_transforms.py	174	assert data_orig.equals(data)	CODE
HIGH⚡	timeseries/tests/unittests/test_transforms.py	175	assert known_covariates_orig.equals(known_covariates)	CODE
HIGH⚡	timeseries/tests/unittests/test_transforms.py	176	assert static_features_orig.equals(data.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/utils/test_features.py	85	assert data.equals(data_orig)	CODE
HIGH⚡	timeseries/tests/unittests/utils/test_features.py	86	assert data.dtypes.equals(data_orig.dtypes)	CODE
HIGH⚡	timeseries/tests/unittests/utils/test_features.py	87	assert data.static_features.equals(data_orig.static_features)	CODE
HIGH⚡	timeseries/tests/unittests/utils/test_features.py	88	assert data.static_features.dtypes.equals(data_orig.static_features.dtypes)	CODE
HIGH⚡	timeseries/tests/unittests/utils/test_features.py	103	assert known_covariates.equals(known_covariates_orig)	CODE
HIGH⚡	timeseries/tests/unittests/utils/test_features.py	104	assert known_covariates.dtypes.equals(known_covariates_orig.dtypes)	CODE
HIGH	…series/tests/unittests/models/test_per_step_tabular.py	213	assert pred1.equals(pred2)	CODE
HIGH⚡	timeseries/tests/unittests/models/test_models.py	422	assert model_train_data.equals(expected_train_data)	CODE
HIGH⚡	timeseries/tests/unittests/models/test_models.py	423	assert model_val_data.equals(expected_val_data)	CODE
HIGH⚡	timeseries/tests/unittests/models/test_models.py	427	assert model_predict_data.equals(preprocessed_data)	CODE
HIGH	timeseries/tests/unittests/models/test_models.py	120	assert orig_oof_pred.equals(loaded_oof_pred)	CODE
HIGH	timeseries/tests/unittests/models/test_mlforecast.py	377	assert predictions.index.equals(model.get_forecast_horizon_index(train_data))	CODE
HIGH	…eries/tests/unittests/trainer/test_prediction_cache.py	82	assert cached_model_preds.equals(preds)	CODE
HIGH⚡	timeseries/tests/unittests/trainer/test_trainer.py	883	assert last_oof.index.equals(val_data.slice_by_timestep(-3, None).index)	CODE
HIGH⚡	timeseries/tests/unittests/trainer/test_trainer.py	885	assert last_oof.index.equals(train_data.slice_by_timestep(-3, None).index)	CODE
HIGH	timeseries/tests/unittests/trainer/test_trainer.py	573	assert predictions.equals(mock_predictions)	CODE
HIGH	timeseries/tests/smoketests/test_all_models.py	172	assert predictions.index.equals(future_test_data.index)	CODE
HIGH	timeseries/tests/smoketests/test_all_models.py	248	assert predictions.index.equals(future_test_data.index)	CODE
HIGH	timeseries/src/autogluon/timeseries/metrics/abstract.py	114	assert data_future.index.equals(predictions.index), "Prediction and data indices do not match."	CODE
HIGH	…imeseries/models/abstract/abstract_timeseries_model.py	628	if not predictions.columns.equals(column_order):	CODE
HIGH	…gluon/timeseries/models/ensemble/ensemble_selection.py	80	assert all(dummy_pred.index.equals(pred[window_idx].index) for pred in predictions)	CODE
HIGH	…gluon/timeseries/models/ensemble/ensemble_selection.py	81	assert all(dummy_pred.columns.equals(pred[window_idx].columns) for pred in predictions)	CODE
HIGH⚡	tabular/tests/unittests/test_tabular.py	405	assert oof_pred_proba.equals(oof_pred_proba_refit)	CODE
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Unused Imports778 hits · 717 pts

Severity	File	Line	Context
LOW	core/tests/unittests/test_feature_selection.py	4	CODE
LOW	core/tests/unittests/test_feature_selection.py	6	CODE
LOW	core/tests/unittests/test_parallel_local_folding.py	9	CODE
LOW	core/tests/unittests/test_parallel_local_folding.py	12	CODE
LOW	core/tests/unittests/hpo/test_ray_hpo.py	11	CODE
LOW	core/tests/unittests/hpo/test_ray_hpo.py	11	CODE
LOW	core/src/autogluon/core/__init__.py	2	CODE
LOW	core/src/autogluon/core/__init__.py	5	CODE
LOW	core/src/autogluon/core/__init__.py	5	CODE
LOW	core/src/autogluon/core/__init__.py	6	CODE
LOW	core/src/autogluon/core/searcher/__init__.py	1	CODE
LOW	core/src/autogluon/core/searcher/__init__.py	2	CODE
LOW	core/src/autogluon/core/searcher/__init__.py	3	CODE
LOW	core/src/autogluon/core/searcher/__init__.py	4	CODE
LOW	core/src/autogluon/core/metrics/score_func.py	1	CODE
LOW	core/src/autogluon/core/metrics/score_func.py	10	CODE
LOW	core/src/autogluon/core/metrics/__init__.py	1	CODE
LOW	core/src/autogluon/core/metrics/__init__.py	19	CODE
LOW	core/src/autogluon/core/metrics/__init__.py	20	CODE
LOW	core/src/autogluon/core/metrics/__init__.py	13	CODE
LOW	core/src/autogluon/core/metrics/__init__.py	15	CODE
LOW	core/src/autogluon/core/callbacks/_abstract_callback.py	1	CODE
LOW	…c/autogluon/core/callbacks/_early_stopping_callback.py	1	CODE
LOW	core/src/autogluon/core/callbacks/_smooth_count.py	1	CODE
LOW	…on/core/callbacks/_early_stopping_ensemble_callback.py	1	CODE
LOW	core/src/autogluon/core/callbacks/__init__.py	1	CODE
LOW	core/src/autogluon/core/callbacks/__init__.py	2	CODE
LOW	core/src/autogluon/core/callbacks/__init__.py	3	CODE
LOW	core/src/autogluon/core/callbacks/__init__.py	4	CODE
LOW	core/src/autogluon/core/callbacks/__init__.py	5	CODE
LOW	…gluon/core/callbacks/_early_stopping_count_callback.py	1	CODE
LOW	core/src/autogluon/core/callbacks/_example_callback.py	1	CODE
LOW	core/src/autogluon/core/scheduler/__init__.py	2	CODE
LOW	core/src/autogluon/core/utils/feature_selection.py	1	CODE
LOW	core/src/autogluon/core/utils/feature_selection.py	8	CODE
LOW	core/src/autogluon/core/utils/__init__.py	1	CODE
LOW	core/src/autogluon/core/utils/__init__.py	1	CODE
LOW	core/src/autogluon/core/utils/__init__.py	2	CODE
LOW	core/src/autogluon/core/utils/__init__.py	3	CODE
LOW	core/src/autogluon/core/utils/__init__.py	4	CODE
LOW	core/src/autogluon/core/utils/plots.py	199	CODE
LOW	core/src/autogluon/core/utils/utils.py	1	CODE
LOW	core/src/autogluon/core/utils/early_stopping.py	1	CODE
LOW	core/src/autogluon/core/utils/savers/__init__.py	1	CODE
LOW	core/src/autogluon/core/utils/savers/__init__.py	1	CODE
LOW	core/src/autogluon/core/utils/savers/__init__.py	1	CODE
LOW	core/src/autogluon/core/utils/savers/__init__.py	1	CODE
LOW	core/src/autogluon/core/utils/loaders/__init__.py	1	CODE
LOW	core/src/autogluon/core/utils/loaders/__init__.py	1	CODE
LOW	core/src/autogluon/core/utils/loaders/__init__.py	1	CODE
LOW	core/src/autogluon/core/utils/loaders/__init__.py	1	CODE
LOW	core/src/autogluon/core/utils/loaders/__init__.py	1	CODE
LOW	core/src/autogluon/core/utils/loaders/__init__.py	1	CODE
LOW	core/src/autogluon/core/models/__init__.py	1	CODE
LOW	core/src/autogluon/core/models/__init__.py	1	CODE
LOW	core/src/autogluon/core/models/__init__.py	1	CODE
LOW	core/src/autogluon/core/models/__init__.py	2	CODE
LOW	core/src/autogluon/core/models/__init__.py	3	CODE
LOW	core/src/autogluon/core/models/__init__.py	4	CODE
LOW	core/src/autogluon/core/models/__init__.py	5	CODE
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Cross-File Repetition88 hits · 440 pts

Severity	File	Line	Snippet	Context
HIGH	…e/src/autogluon/core/models/abstract/abstract_model.py	0	loads the model from disk to memory. the loaded model will be on the same device it was trained on (cuda/mps); if the de	STRING
HIGH	…ogluon/tabular/models/abstract/abstract_torch_model.py	0	loads the model from disk to memory. the loaded model will be on the same device it was trained on (cuda/mps); if the de	STRING
HIGH	…on/tabular/models/tabular_nn/torch/tabular_nn_torch.py	0	loads the model from disk to memory. the loaded model will be on the same device it was trained on (cuda/mps); if the de	STRING
HIGH	…r/src/autogluon/tabular/models/knn/knn_rapids_model.py	0	rapids linear model : https://rapids.ai/start.html note: this code is experimental, it is recommend to not use this unle	STRING
HIGH	…lar/src/autogluon/tabular/models/rf/rf_rapids_model.py	0	rapids linear model : https://rapids.ai/start.html note: this code is experimental, it is recommend to not use this unle	STRING
HIGH	…lar/src/autogluon/tabular/models/lr/lr_rapids_model.py	0	rapids linear model : https://rapids.ai/start.html note: this code is experimental, it is recommend to not use this unle	STRING
HIGH	…ular/src/autogluon/tabular/models/rf/compilers/onnx.py	0	compile the trained model for faster inference. parameters ---------- model the native model that is expected to be comp	STRING
HIGH	…ar/src/autogluon/tabular/models/rf/compilers/native.py	0	compile the trained model for faster inference. parameters ---------- model the native model that is expected to be comp	STRING
HIGH	…utogluon/tabular/models/tabular_nn/compilers/native.py	0	compile the trained model for faster inference. parameters ---------- model the native model that is expected to be comp	STRING
HIGH	…ar/src/autogluon/tabular/models/tabdpt/tabdpt_model.py	0	heuristic memory estimate based on tabpfn's memory estimate logic in: https://github.com/priorlabs/tabpfn/blob/57a2efd3e	STRING
HIGH	…/autogluon/tabular/models/tabpfnv2/tabpfnv2_5_model.py	0	heuristic memory estimate based on tabpfn's memory estimate logic in: https://github.com/priorlabs/tabpfn/blob/57a2efd3e	STRING
HIGH	…/autogluon/tabular/models/tabpfnv2/tabpfnv2_6_model.py	0	heuristic memory estimate based on tabpfn's memory estimate logic in: https://github.com/priorlabs/tabpfn/blob/57a2efd3e	STRING
HIGH	multimodal/src/autogluon/multimodal/predictor.py	0	the original name of the class labels. for example, the tabular data may contain classes equal to "entailment", "contrad	STRING
HIGH	…ltimodal/src/autogluon/multimodal/learners/matching.py	0	the original name of the class labels. for example, the tabular data may contain classes equal to "entailment", "contrad	STRING
HIGH	multimodal/src/autogluon/multimodal/learners/base.py	0	the original name of the class labels. for example, the tabular data may contain classes equal to "entailment", "contrad	STRING
HIGH	multimodal/src/autogluon/multimodal/predictor.py	0	predict probabilities class probabilities rather than class labels. this is only for the classification. calling it for	STRING
HIGH	…ltimodal/src/autogluon/multimodal/learners/matching.py	0	predict probabilities class probabilities rather than class labels. this is only for the classification. calling it for	STRING
HIGH	…autogluon/multimodal/learners/semantic_segmentation.py	0	predict probabilities class probabilities rather than class labels. this is only for the classification. calling it for	STRING
HIGH	multimodal/src/autogluon/multimodal/learners/ner.py	0	predict probabilities class probabilities rather than class labels. this is only for the classification. calling it for	STRING
HIGH	…odal/src/autogluon/multimodal/learners/few_shot_svm.py	0	predict probabilities class probabilities rather than class labels. this is only for the classification. calling it for	STRING
HIGH	multimodal/src/autogluon/multimodal/learners/base.py	0	predict probabilities class probabilities rather than class labels. this is only for the classification. calling it for	STRING
HIGH	multimodal/src/autogluon/multimodal/predictor.py	0	save this learner to file in directory specified by `path`. parameters ---------- path the directory to save this learne	STRING
HIGH	…ltimodal/src/autogluon/multimodal/learners/matching.py	0	save this learner to file in directory specified by `path`. parameters ---------- path the directory to save this learne	STRING
HIGH	multimodal/src/autogluon/multimodal/learners/base.py	0	save this learner to file in directory specified by `path`. parameters ---------- path the directory to save this learne	STRING
HIGH	…dal/src/autogluon/multimodal/optim/lit_semantic_seg.py	0	control the loops for training, evaluation, and prediction. this module is independent of the model definition. this cla	STRING
HIGH	multimodal/src/autogluon/multimodal/optim/lit_module.py	0	control the loops for training, evaluation, and prediction. this module is independent of the model definition. this cla	STRING
HIGH	…ltimodal/src/autogluon/multimodal/optim/lit_matcher.py	0	control the loops for training, evaluation, and prediction. this module is independent of the model definition. this cla	STRING
HIGH	…dal/src/autogluon/multimodal/optim/lit_semantic_seg.py	0	per validation step. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/c	STRING
HIGH	multimodal/src/autogluon/multimodal/optim/lit_module.py	0	per validation step. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/c	STRING
HIGH	…imodal/src/autogluon/multimodal/optim/lit_distiller.py	0	per validation step. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/c	STRING
HIGH	…ltimodal/src/autogluon/multimodal/optim/lit_matcher.py	0	per validation step. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/c	STRING
HIGH	multimodal/src/autogluon/multimodal/optim/lit_ner.py	0	per validation step. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/c	STRING
HIGH	multimodal/src/autogluon/multimodal/optim/lit_mmdet.py	0	configure optimizer. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/c	STRING
HIGH	multimodal/src/autogluon/multimodal/optim/lit_module.py	0	configure optimizer. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/c	STRING
HIGH	…imodal/src/autogluon/multimodal/optim/lit_distiller.py	0	configure optimizer. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/c	STRING
HIGH	…ltimodal/src/autogluon/multimodal/optim/lit_matcher.py	0	configure optimizer. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/c	STRING
HIGH	multimodal/src/autogluon/multimodal/optim/lit_module.py	0	per training step. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/com	STRING
HIGH	…imodal/src/autogluon/multimodal/optim/lit_distiller.py	0	per training step. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/com	STRING
HIGH	…ltimodal/src/autogluon/multimodal/optim/lit_matcher.py	0	per training step. this function is registered by lightningmodule. refer to https://lightning.ai/docs/pytorch/stable/com	STRING
HIGH	multimodal/src/autogluon/multimodal/models/hf_text.py	0	assign an id to each layer. layer ids will be used in layer-wise lr decay. basically, id gradually increases when going	STRING
HIGH	multimodal/src/autogluon/multimodal/models/ner_text.py	0	assign an id to each layer. layer ids will be used in layer-wise lr decay. basically, id gradually increases when going	STRING
HIGH	…al/src/autogluon/multimodal/models/meta_transformer.py	0	assign an id to each layer. layer ids will be used in layer-wise lr decay. basically, id gradually increases when going	STRING
HIGH	multimodal/src/autogluon/multimodal/models/t_few.py	0	assign an id to each layer. layer ids will be used in layer-wise lr decay. basically, id gradually increases when going	STRING
HIGH	multimodal/src/autogluon/multimodal/models/sam.py	0	assign an id to each layer. layer ids will be used in layer-wise lr decay. basically, id gradually increases when going	STRING
HIGH	…ltimodal/src/autogluon/multimodal/models/timm_image.py	0	assign an id to each layer. layer ids will be used in layer-wise lr decay. basically, id gradually increases when going	STRING
HIGH	…odal/src/autogluon/multimodal/models/ft_transformer.py	0	parameters ---------- batch a dictionary containing the input mini-batch data. we need to use the keys with the model pr	STRING
HIGH	…rc/autogluon/multimodal/models/document_transformer.py	0	parameters ---------- batch a dictionary containing the input mini-batch data. we need to use the keys with the model pr	STRING
HIGH	…dal/src/autogluon/multimodal/models/categorical_mlp.py	0	parameters ---------- batch a dictionary containing the input mini-batch data. we need to use the keys with the model pr	STRING
HIGH	…modal/src/autogluon/multimodal/models/numerical_mlp.py	0	parameters ---------- batch a dictionary containing the input mini-batch data. we need to use the keys with the model pr	STRING
HIGH	multimodal/src/autogluon/multimodal/models/clip.py	0	parameters ---------- batch a dictionary containing the input mini-batch data. we need to use the keys with the model pr	STRING
HIGH	…odal/src/autogluon/multimodal/models/ft_transformer.py	0	all layers have the same id 0 since there is no pre-trained models used here. returns ------- a dictionary mapping the l	STRING
HIGH	…dal/src/autogluon/multimodal/models/categorical_mlp.py	0	all layers have the same id 0 since there is no pre-trained models used here. returns ------- a dictionary mapping the l	STRING
HIGH	…modal/src/autogluon/multimodal/models/numerical_mlp.py	0	all layers have the same id 0 since there is no pre-trained models used here. returns ------- a dictionary mapping the l	STRING
HIGH	multimodal/src/autogluon/multimodal/models/augmenter.py	0	all layers have the same id 0 since there is no pre-trained models used here. returns ------- a dictionary mapping the l	STRING
HIGH	…togluon/multimodal/models/fusion/fusion_transformer.py	0	use mlp to fuse different models' features (single-modal and multimodal). specifically, it adapts the features of each m	STRING
HIGH	…l/src/autogluon/multimodal/models/fusion/fusion_ner.py	0	use mlp to fuse different models' features (single-modal and multimodal). specifically, it adapts the features of each m	STRING
HIGH	…l/src/autogluon/multimodal/models/fusion/fusion_mlp.py	0	use mlp to fuse different models' features (single-modal and multimodal). specifically, it adapts the features of each m	STRING
HIGH	…autogluon/multimodal/learners/semantic_segmentation.py	0	evaluate model on a test dataset. parameters ---------- data a dataframe, containing the same columns as the training da	STRING
HIGH	…odal/src/autogluon/multimodal/learners/few_shot_svm.py	0	evaluate model on a test dataset. parameters ---------- data a dataframe, containing the same columns as the training da	STRING
HIGH	multimodal/src/autogluon/multimodal/learners/ner.py	0	evaluate model on a test dataset. parameters ---------- data a dataframe, containing the same columns as the training da	STRING
28 more matches not shown…

Decorative Section Separators96 hits · 326 pts

Severity	File	Line	Snippet	Context
MEDIUM⚡	core/tests/unittests/ray/test_parallel_gpu_prototype.py	119	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	core/tests/unittests/ray/test_parallel_gpu_prototype.py	121	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	core/tests/unittests/ray/test_parallel_gpu_prototype.py	184	# ---------------------------------------------------------------------------	COMMENT
MEDIUM⚡	core/tests/unittests/ray/test_parallel_gpu_prototype.py	186	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	…ar/src/autogluon/tabular/models/tabm/tabm_reference.py	19	# ======================================================================================	COMMENT
MEDIUM	…ar/src/autogluon/tabular/models/tabm/tabm_reference.py	21	# ======================================================================================	COMMENT
MEDIUM	…ar/src/autogluon/tabular/models/tabm/tabm_reference.py	33	# ======================================================================================	COMMENT
MEDIUM	…ar/src/autogluon/tabular/models/tabm/tabm_reference.py	35	# ======================================================================================	COMMENT
MEDIUM⚡	…ar/src/autogluon/tabular/models/tabm/tabm_reference.py	370	# ======================================================================================	COMMENT
MEDIUM⚡	…ar/src/autogluon/tabular/models/tabm/tabm_reference.py	372	# ======================================================================================	COMMENT
MEDIUM	…ar/src/autogluon/tabular/models/tabm/tabm_reference.py	415	# ======================================================================================	COMMENT
MEDIUM	…ar/src/autogluon/tabular/models/tabm/tabm_reference.py	417	# ======================================================================================	COMMENT
MEDIUM	…bular/src/autogluon/tabular/configs/presets_configs.py	94	# ------------------------------------------	COMMENT
MEDIUM	…bular/src/autogluon/tabular/configs/presets_configs.py	95	# ------------------------------------------	COMMENT
MEDIUM	…bular/src/autogluon/tabular/configs/presets_configs.py	117	# ------------------------------------------	COMMENT
MEDIUM⚡	…bular/src/autogluon/tabular/configs/presets_configs.py	175	# ------------------------------------------	COMMENT
MEDIUM⚡	…bular/src/autogluon/tabular/configs/presets_configs.py	176	# ------------------------------------------	COMMENT
MEDIUM⚡	…bular/src/autogluon/tabular/configs/presets_configs.py	177	# ------------------------------------------	COMMENT
MEDIUM	…rc/autogluon/features/generators/oof_target_encoder.py	122	# ------------------------	COMMENT
MEDIUM	…rc/autogluon/features/generators/oof_target_encoder.py	124	# ------------------------	COMMENT
MEDIUM	…rc/autogluon/features/generators/oof_target_encoder.py	154	# =====================================================	COMMENT
MEDIUM	…rc/autogluon/features/generators/oof_target_encoder.py	156	# =====================================================	COMMENT
MEDIUM	…rc/autogluon/features/generators/oof_target_encoder.py	168	# ---------------------------------------	COMMENT
MEDIUM	…rc/autogluon/features/generators/oof_target_encoder.py	170	# ---------------------------------------	COMMENT
MEDIUM	…rc/autogluon/features/generators/oof_target_encoder.py	220	# ------------------------	COMMENT
MEDIUM	…rc/autogluon/features/generators/oof_target_encoder.py	222	# ------------------------	COMMENT
MEDIUM⚡	features/src/autogluon/features/generators/cat_int.py	222	# ----------------------------------------------------------------------	COMMENT
MEDIUM⚡	features/src/autogluon/features/generators/cat_int.py	224	# ----------------------------------------------------------------------	COMMENT
MEDIUM⚡	features/src/autogluon/features/generators/cat_int.py	231	# --------------------------	COMMENT
MEDIUM⚡	features/src/autogluon/features/generators/cat_int.py	233	# --------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/cat_int.py	246	# --------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/cat_int.py	248	# --------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/cat_int.py	262	# ------------------------------------------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/cat_int.py	264	# ------------------------------------------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/cat_int.py	282	# ----------------------------------------------------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/cat_int.py	284	# ----------------------------------------------------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/cat_int.py	299	# ----------------------------------------------------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/cat_int.py	301	# ----------------------------------------------------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/groupby.py	21	# ----------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/groupby.py	23	# ----------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/groupby.py	179	# ----------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/groupby.py	181	# ----------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/groupby.py	306	# ----------------------------	COMMENT
MEDIUM	features/src/autogluon/features/generators/groupby.py	308	# ----------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	397	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	399	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	405	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	407	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	414	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	416	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	490	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	492	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	497	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	499	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	507	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	509	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	513	# ------------------------------------------------------	COMMENT
MEDIUM⚡	…togluon/features/generators/arithmetic/preprocessor.py	515	# ------------------------------------------------------	COMMENT
MEDIUM	…togluon/features/generators/arithmetic/preprocessor.py	430	# ------------------------------------------------------	COMMENT
MEDIUM	…togluon/features/generators/arithmetic/preprocessor.py	432	# ------------------------------------------------------	COMMENT
36 more matches not shown…

Modern Structural Boilerplate277 hits · 277 pts

Severity	File	Line	Snippet	Context
LOW	core/src/autogluon/core/problem_type.py	5	__all__ = ["problem_type_info"]	CODE
LOW	core/src/autogluon/core/searcher/local_grid_searcher.py	11	__all__ = ["LocalGridSearcher"]	CODE
LOW	core/src/autogluon/core/searcher/local_grid_searcher.py	13	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/searcher/searcher_factory.py	4	__all__ = ["searcher_factory"]	CODE
LOW	core/src/autogluon/core/searcher/local_searcher.py	7	__all__ = ["LocalSearcher"]	CODE
LOW	core/src/autogluon/core/searcher/local_searcher.py	9	logger = logging.getLogger(__name__)	CODE
LOW	…e/src/autogluon/core/searcher/local_random_searcher.py	12	__all__ = ["LocalRandomSearcher"]	CODE
LOW	…e/src/autogluon/core/searcher/local_random_searcher.py	14	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/searcher/dummy_searcher.py	6	__all__ = ["DummySearcher"]	CODE
LOW	core/src/autogluon/core/searcher/dummy_searcher.py	8	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/metrics/score_func.py	12	logger = logging.getLogger(__name__)	CODE
LOW	…e/src/autogluon/core/metrics/classification_metrics.py	24	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/metrics/quantile_metrics.py	7	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/metrics/softclass_metrics.py	9	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/augmentation/distill_utils.py	14	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/scheduler/seq_scheduler.py	13	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/scheduler/reporter.py	3	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/scheduler/reporter.py	5	__all__ = ["FakeReporter"]	CODE
LOW	core/src/autogluon/core/scheduler/scheduler_factory.py	8	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/utils/time.py	7	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/utils/files.py	10	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/utils/files.py	12	__all__ = ["unzip", "download"]	CODE
LOW	core/src/autogluon/core/utils/feature_selection.py	21	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/utils/plots.py	13	__all__ = ["plot_performance_vs_trials", "plot_summary_of_models", "plot_tabular_models", "mousover_plot"]	CODE
LOW	core/src/autogluon/core/utils/utils.py	35	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/models/abstract/model_trial.py	9	logger = logging.getLogger(__name__)	CODE
LOW	…e/src/autogluon/core/models/abstract/abstract_model.py	66	logger = logging.getLogger(__name__)	CODE
LOW	…rc/autogluon/core/models/abstract/abstract_nn_model.py	9	logger = logging.getLogger(__name__)	CODE
LOW	…ogluon/core/models/ensemble/weighted_ensemble_model.py	12	logger = logging.getLogger(__name__)	CODE
LOW	…utogluon/core/models/ensemble/bagged_ensemble_model.py	38	logger = logging.getLogger(__name__)	CODE
LOW	…togluon/core/models/ensemble/stacker_ensemble_model.py	21	logger = logging.getLogger(__name__)	CODE
LOW	…utogluon/core/models/ensemble/fold_fitting_strategy.py	43	logger = logging.getLogger(__name__)	CODE
LOW	…luon/core/models/greedy_ensemble/ensemble_selection.py	15	logger = logging.getLogger(__name__)	CODE
LOW	…dels/greedy_ensemble/greedy_weighted_ensemble_model.py	11	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/learner/__init__.py	3	__all__ = ["AbstractLearner"]	CODE
LOW	core/src/autogluon/core/stacked_overfitting/utils.py	6	logger = logging.getLogger(__name__)	CODE
LOW	…re/src/autogluon/core/pseudolabeling/pseudolabeling.py	8	logger = logging.getLogger(__name__)	CODE
LOW	…re/src/autogluon/core/calibrate/_decision_threshold.py	13	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/data/label_cleaner.py	11	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/data/cleaner.py	7	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/hpo/executors.py	26	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/hpo/ray_hpo.py	31	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/ray/resources_calculator.py	7	logger = logging.getLogger(__name__)	CODE
LOW	…re/src/autogluon/core/ray/distributed_jobs_managers.py	29	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/trainer/__init__.py	3	__all__ = ["AbstractTrainer"]	CODE
LOW	core/src/autogluon/core/trainer/utils.py	4	logger = logging.getLogger(__name__)	CODE
LOW	core/src/autogluon/core/trainer/abstract_trainer.py	59	def set_contexts(self, path_context: str) -> None:	CODE
LOW	core/src/autogluon/core/trainer/abstract_trainer.py	92	def set_model_attribute(self, model: str \| ModelTypeT, attribute: str, val: Any) -> None:	CODE
LOW	timeseries/src/autogluon/timeseries/predictor.py	240	def _setup_log_to_file(self, log_to_file: bool, log_file_path: str \| Path) -> None:	CODE
LOW	timeseries/src/autogluon/timeseries/splitter.py	5	__all__ = [	CODE
LOW	timeseries/src/autogluon/timeseries/__init__.py	14	__all__ = ["TimeSeriesDataFrame", "TimeSeriesPredictor"]	CODE
LOW	timeseries/src/autogluon/timeseries/regressor.py	13	logger = logging.getLogger(__name__)	CODE
LOW	timeseries/src/autogluon/timeseries/learner.py	16	logger = logging.getLogger(__name__)	CODE
LOW	timeseries/src/autogluon/timeseries/metrics/__init__.py	12	__all__ = [	CODE
LOW	timeseries/src/autogluon/timeseries/metrics/point.py	13	logger = logging.getLogger(__name__)	CODE
LOW	timeseries/src/autogluon/timeseries/dataset/__init__.py	3	__all__ = ["TimeSeriesDataFrame"]	CODE
LOW	…eries/src/autogluon/timeseries/dataset/ts_dataframe.py	20	logger = logging.getLogger(__name__)	CODE
LOW	…ries/src/autogluon/timeseries/utils/warning_filters.py	13	__all__ = ["warning_filter", "disable_root_logger", "disable_tqdm"]	CODE
LOW	timeseries/src/autogluon/timeseries/utils/features.py	20	logger = logging.getLogger(__name__)	CODE
LOW	timeseries/src/autogluon/timeseries/models/__init__.py	33	__all__ = [	CODE
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Deep Nesting296 hits · 272 pts

Severity	File	Line	Context
LOW	…tests/unittests/searcher/test_local_random_searcher.py	8	CODE
LOW	core/src/autogluon/core/searcher/local_grid_searcher.py	39	CODE
LOW	core/src/autogluon/core/searcher/local_searcher.py	190	CODE
LOW	…e/src/autogluon/core/metrics/classification_metrics.py	87	CODE
LOW	…e/src/autogluon/core/metrics/classification_metrics.py	274	CODE
LOW	core/src/autogluon/core/metrics/__init__.py	441	CODE
LOW	core/src/autogluon/core/metrics/__init__.py	801	CODE
LOW	core/src/autogluon/core/metrics/__init__.py	240	CODE
LOW	core/src/autogluon/core/callbacks/_smooth_count.py	60	CODE
LOW	core/src/autogluon/core/utils/infer_utils.py	8	CODE
LOW	core/src/autogluon/core/utils/files.py	28	CODE
LOW	core/src/autogluon/core/utils/feature_selection.py	621	CODE
LOW	core/src/autogluon/core/utils/utils.py	242	CODE
LOW	core/src/autogluon/core/utils/utils.py	394	CODE
LOW	core/src/autogluon/core/utils/utils.py	619	CODE
LOW	core/src/autogluon/core/utils/utils.py	757	CODE
LOW	core/src/autogluon/core/utils/utils.py	1028	CODE
LOW	core/src/autogluon/core/utils/utils.py	1083	CODE
LOW	…e/src/autogluon/core/models/abstract/abstract_model.py	323	CODE
LOW	…e/src/autogluon/core/models/abstract/abstract_model.py	1186	CODE
LOW	…e/src/autogluon/core/models/abstract/abstract_model.py	1522	CODE
LOW	…e/src/autogluon/core/models/abstract/abstract_model.py	1684	CODE
LOW	…e/src/autogluon/core/models/abstract/abstract_model.py	3083	CODE
LOW	…rc/autogluon/core/models/abstract/abstract_nn_model.py	18	CODE
LOW	…utogluon/core/models/ensemble/bagged_ensemble_model.py	1045	CODE
LOW	…utogluon/core/models/ensemble/bagged_ensemble_model.py	1326	CODE
LOW	…togluon/core/models/ensemble/stacker_ensemble_model.py	160	CODE
LOW	…togluon/core/models/ensemble/stacker_ensemble_model.py	237	CODE
LOW	…luon/core/models/greedy_ensemble/ensemble_selection.py	89	CODE
LOW	…re/src/autogluon/core/calibrate/_decision_threshold.py	18	CODE
LOW	core/src/autogluon/core/hpo/executors.py	75	CODE
LOW	…re/src/autogluon/core/ray/distributed_jobs_managers.py	229	CODE
LOW	…series/tests/unittests/models/chronos/test_chronos2.py	289	CODE
LOW	…ries/tests/unittests/trainer/test_ensemble_composer.py	394	CODE
LOW	timeseries/src/autogluon/timeseries/predictor.py	1898	CODE
LOW	timeseries/src/autogluon/timeseries/regressor.py	232	CODE
LOW	timeseries/src/autogluon/timeseries/metrics/__init__.py	73	CODE
LOW	…eries/src/autogluon/timeseries/dataset/ts_dataframe.py	123	CODE
LOW	…eries/src/autogluon/timeseries/dataset/ts_dataframe.py	803	CODE
LOW	…series/src/autogluon/timeseries/utils/datetime/lags.py	68	CODE
LOW	…eries/src/autogluon/timeseries/models/chronos/model.py	443	CODE
LOW	…eries/src/autogluon/timeseries/models/chronos/model.py	652	CODE
LOW	…/autogluon/timeseries/models/toto/_internal/dataset.py	145	CODE
LOW	…timeseries/models/toto/_internal/backbone/attention.py	64	CODE
LOW	…timeseries/models/toto/_internal/backbone/attention.py	107	CODE
LOW	…on/timeseries/models/toto/_internal/backbone/scaler.py	14	CODE
LOW	…dels/toto/_internal/backbone/rotary_embedding_torch.py	111	CODE
LOW	…es/src/autogluon/timeseries/models/gluonts/abstract.py	292	CODE
LOW	…/src/autogluon/timeseries/trainer/ensemble_composer.py	168	CODE
LOW	timeseries/src/autogluon/timeseries/trainer/trainer.py	613	CODE
LOW	timeseries/src/autogluon/timeseries/trainer/trainer.py	844	CODE
LOW	…/src/autogluon/timeseries/trainer/model_set_builder.py	54	CODE
LOW	…/src/autogluon/timeseries/trainer/model_set_builder.py	230	CODE
LOW	CI/bench/evaluate.py	9	CODE
LOW	CI/bench/evaluate.py	91	CODE
LOW	CI/batch/submit-job.py	122	CODE
LOW	tabular/tests/unittests/test_tabular.py	48	CODE
LOW	tabular/tests/unittests/test_tabular.py	72	CODE
LOW	tabular/tests/unittests/test_tabular.py	557	CODE
LOW	…bular/tests/unittests/models/test_tabular_nn_fastai.py	78	CODE
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AI Structural Patterns136 hits · 122 pts

Severity	File	Line	Context
LOW	core/src/autogluon/core/metrics/__init__.py	441	CODE
LOW	core/src/autogluon/core/scheduler/scheduler_factory.py	21	CODE
LOW	core/src/autogluon/core/utils/feature_selection.py	169	CODE
LOW	core/src/autogluon/core/utils/plots.py	166	CODE
LOW	core/src/autogluon/core/utils/utils.py	757	CODE
LOW	…e/src/autogluon/core/models/abstract/abstract_model.py	1444	CODE
LOW	…utogluon/core/models/ensemble/bagged_ensemble_model.py	244	CODE
LOW	…utogluon/core/models/ensemble/bagged_ensemble_model.py	823	CODE
LOW	core/src/autogluon/core/hpo/ray_hpo.py	144	CODE
LOW	timeseries/src/autogluon/timeseries/predictor.py	146	CODE
LOW	timeseries/src/autogluon/timeseries/predictor.py	407	CODE
LOW	timeseries/src/autogluon/timeseries/predictor.py	1316	CODE
LOW	timeseries/src/autogluon/timeseries/regressor.py	75	CODE
LOW	timeseries/src/autogluon/timeseries/learner.py	55	CODE
LOW	timeseries/src/autogluon/timeseries/learner.py	206	CODE
LOW	…imeseries/models/abstract/abstract_timeseries_model.py	76	CODE
LOW	…imeseries/models/abstract/abstract_timeseries_model.py	398	CODE
LOW	…eries/src/autogluon/timeseries/models/chronos/utils.py	133	CODE
LOW	…eries/src/autogluon/timeseries/models/chronos/utils.py	137	CODE
LOW	…uon/timeseries/models/ensemble/array_based/abstract.py	34	CODE
LOW	…utogluon/timeseries/models/toto/hf_pretrained_model.py	14	CODE
LOW	…utogluon/timeseries/models/toto/hf_pretrained_model.py	151	CODE
LOW	…meseries/src/autogluon/timeseries/models/toto/model.py	62	CODE
LOW	…dels/toto/_internal/backbone/rotary_embedding_torch.py	111	CODE
LOW	…ies/src/autogluon/timeseries/models/gluonts/dataset.py	15	CODE
LOW	timeseries/src/autogluon/timeseries/trainer/trainer.py	46	CODE
LOW	timeseries/src/autogluon/timeseries/trainer/trainer.py	844	CODE
LOW	…s/unittests/resource_allocation/test_gpu_assignment.py	50	CODE
LOW	tabular/tests/unittests/data/test_learning_curves.py	103	CODE
LOW	…/autogluon/tabular/experimental/_tabular_classifier.py	15	CODE
LOW	…c/autogluon/tabular/experimental/_tabular_regressor.py	14	CODE
LOW	…autogluon/tabular/models/fastainn/tabular_nn_fastai.py	170	CODE
LOW	…lar/src/autogluon/tabular/models/fastainn/callbacks.py	95	CODE
LOW	…/_internal/models/foundation/foundation_transformer.py	163	CODE
LOW	…/src/autogluon/tabular/models/xgboost/xgboost_model.py	103	CODE
LOW	tabular/src/autogluon/tabular/models/rf/rf_quantile.py	314	CODE
LOW	tabular/src/autogluon/tabular/models/rf/rf_quantile.py	338	CODE
LOW	tabular/src/autogluon/tabular/models/rf/rf_quantile.py	672	CODE
LOW	tabular/src/autogluon/tabular/models/rf/rf_quantile.py	824	CODE
LOW	…bular/models/tabular_nn/torch/torch_network_modules.py	134	CODE
LOW	…on/tabular/models/tabular_nn/torch/tabular_nn_torch.py	184	CODE
LOW	tabular/src/autogluon/tabular/models/lgb/lgb_model.py	187	CODE
LOW	tabular/src/autogluon/tabular/models/lgb/lgb_model.py	581	CODE
LOW	tabular/src/autogluon/tabular/models/lgb/callbacks.py	17	CODE
LOW	…rc/autogluon/tabular/models/mitra/sklearn_interface.py	64	CODE
LOW	…rc/autogluon/tabular/models/mitra/sklearn_interface.py	261	CODE
LOW	…rc/autogluon/tabular/models/mitra/sklearn_interface.py	401	CODE
LOW	…togluon/tabular/models/mitra/_internal/models/tab2d.py	687	CODE
LOW	tabular/src/autogluon/tabular/testing/fit_helper.py	161	CODE
LOW	tabular/src/autogluon/tabular/testing/fit_helper.py	417	CODE
LOW	…bular/src/autogluon/tabular/learner/default_learner.py	43	CODE
LOW	…ular/src/autogluon/tabular/learner/abstract_learner.py	38	CODE
LOW	…ular/src/autogluon/tabular/learner/abstract_learner.py	574	CODE
LOW	…ular/src/autogluon/tabular/learner/abstract_learner.py	1009	CODE
LOW	…ular/src/autogluon/tabular/learner/abstract_learner.py	1172	CODE
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	201	CODE
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	424	CODE
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	1854	CODE
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	2025	CODE
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	2916	CODE
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Excessive Try-Catch Wrapping87 hits · 88 pts

Severity	File	Line	Snippet	Context
LOW	core/src/autogluon/core/scheduler/seq_scheduler.py	170	except Exception:	CODE
LOW	core/src/autogluon/core/scheduler/seq_scheduler.py	295	except Exception as e:	CODE
LOW	core/src/autogluon/core/utils/feature_selection.py	344	except Exception as e:	CODE
LOW	core/src/autogluon/core/models/abstract/model_trial.py	51	except Exception as e:	CODE
LOW	…e/src/autogluon/core/models/abstract/abstract_model.py	2472	except Exception as e:	CODE
LOW	…e/src/autogluon/core/models/abstract/abstract_model.py	2530	except Exception:	CODE
MEDIUM	…utogluon/core/models/ensemble/bagged_ensemble_model.py	779	def _get_default_fold_fitting_strategy(self):	CODE
LOW⚡	…utogluon/core/models/ensemble/bagged_ensemble_model.py	785	except Exception as e:	CODE
MEDIUM	…utogluon/core/models/ensemble/fold_fitting_strategy.py	705	def _process_fold_results(self, finished, unfinished, fold_ctx):	CODE
LOW⚡	…utogluon/core/models/ensemble/fold_fitting_strategy.py	762	except Exception as e:	CODE
LOW⚡	…utogluon/core/models/ensemble/fold_fitting_strategy.py	907	except Exception:	CODE
LOW⚡	…utogluon/core/models/ensemble/fold_fitting_strategy.py	915	except Exception:	CODE
LOW⚡	…utogluon/core/models/ensemble/fold_fitting_strategy.py	1270	except Exception:	CODE
LOW⚡	…utogluon/core/models/ensemble/fold_fitting_strategy.py	1277	except Exception:	CODE
LOW⚡	…utogluon/core/models/ensemble/fold_fitting_strategy.py	1283	except Exception:	CODE
LOW	…utogluon/core/models/ensemble/fold_fitting_strategy.py	488	except Exception as e:	CODE
LOW	…utogluon/core/models/ensemble/fold_fitting_strategy.py	1214	except Exception:	CODE
LOW	core/src/autogluon/core/learner/abstract_learner.py	131	except Exception as e:	CODE
LOW	…re/src/autogluon/core/ray/distributed_jobs_managers.py	262	except Exception as e:	CODE
LOW	…re/src/autogluon/core/ray/distributed_jobs_managers.py	303	except Exception as e:	CODE
LOW	timeseries/tests/unittests/test_ts_dataset.py	667	except Exception as e: # noqa	CODE
LOW	…eries/src/autogluon/timeseries/dataset/ts_dataframe.py	800	except Exception as err: # noqa	CODE
LOW	…es/src/autogluon/timeseries/models/abstract/tunable.py	120	except Exception as e:	CODE
LOW	…rc/autogluon/timeseries/models/abstract/model_trial.py	49	except Exception as err:	CODE
LOW	…ogluon/timeseries/models/local/abstract_local_model.py	200	except Exception:	CODE
LOW	…ogluon/timeseries/models/autogluon_tabular/per_step.py	205	except Exception as e:	CODE
LOW	…/src/autogluon/timeseries/trainer/ensemble_composer.py	290	except Exception as err: # noqa	CODE
LOW	…s/src/autogluon/timeseries/trainer/prediction_cache.py	112	except Exception:	CODE
LOW	…s/src/autogluon/timeseries/trainer/prediction_cache.py	132	except Exception:	CODE
LOW	timeseries/src/autogluon/timeseries/trainer/trainer.py	1149	except Exception:	CODE
LOW	CI/bench/evaluate.py	87	except Exception as e:	CODE
LOW	CI/bench/evaluate.py	242	except Exception as e:	CODE
LOW	CI/bench/tabular/amlb_user_dir/setup_hf_cache.py	52	except Exception as e:	CODE
LOW	CI/batch/cancel-job.py	41	except Exception as e:	CODE
LOW	CI/hf_mirror/download_hf_models.py	54	except Exception as e:	CODE
LOW	tabular/tests/unittests/test_tabular.py	609	except Exception as e:	CODE
LOW	tabular/tests/unittests/test_tabular.py	621	except Exception as e:	CODE
LOW	tabular/tests/unittests/test_tabular.py	642	except Exception as e:	CODE
LOW	tabular/tests/unittests/test_tabular.py	656	except Exception as e:	CODE
LOW	…s/unittests/resource_allocation/test_gpu_assignment.py	208	except Exception:	CODE
LOW	tabular/src/autogluon/tabular/models/lr/lr_model.py	69	except Exception:	CODE
LOW	tabular/src/autogluon/tabular/models/lr/lr_model.py	264	except Exception:	CODE
LOW	tabular/src/autogluon/tabular/models/lgb/lgb_model.py	711	except Exception as e:	CODE
LOW	tabular/src/autogluon/tabular/models/lgb/lgb_model.py	732	except Exception as e:	CODE
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	1745	except Exception as e:	CODE
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	1843	except Exception as e:	CODE
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	3888	except Exception as e:	CODE
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	5231	except Exception as e:	CODE
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	6268	except Exception as e:	CODE
LOW	…ular/src/autogluon/tabular/trainer/abstract_trainer.py	2410	except Exception as exc:	CODE
LOW	…ular/src/autogluon/tabular/trainer/abstract_trainer.py	2851	except Exception as exc:	CODE
LOW	…ular/src/autogluon/tabular/trainer/abstract_trainer.py	3297	except Exception as e:	CODE
LOW	…ular/src/autogluon/tabular/trainer/abstract_trainer.py	5109	except Exception as exc:	CODE
LOW	features/src/autogluon/features/generators/astype.py	165	except Exception as e:	CODE
LOW	features/src/autogluon/features/generators/astype.py	187	except Exception as e:	CODE
LOW	…atures/src/autogluon/features/generators/text_ngram.py	121	except Exception:	CODE
LOW	…atures/src/autogluon/features/generators/text_ngram.py	189	except Exception as err:	CODE
LOW	…al/src/autogluon/multimodal/optim/losses/focal_loss.py	59	except Exception:	CODE
LOW	multimodal/src/autogluon/multimodal/utils/misc.py	123	except Exception as exp:	CODE
LOW	multimodal/src/autogluon/multimodal/utils/download.py	263	except Exception as e:	CODE
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Hallucination Indicators5 hits · 50 pts

Severity	File	Line	Snippet	Context
CRITICAL	…e/src/autogluon/core/models/abstract/abstract_model.py	535	# Kwargs for `autogluon.tabular.features.feature_metadata.FeatureMetadata.get_features()`.	COMMENT
CRITICAL	…imeseries/models/abstract/abstract_timeseries_model.py	319	For more details, see `autogluon.core.models.abstract.AbstractModel._get_tags()` and	STRING
CRITICAL	…eries/src/autogluon/timeseries/models/chronos/model.py	678	model_prediction_length = self.model_pipeline.model.config.chronos_config.get("prediction_length")	CODE
CRITICAL	multimodal/src/autogluon/multimodal/utils/download.py	174	s3.meta.client.meta.events.register("choose-signer.s3.*", disable_signing)	CODE
CRITICAL	common/src/autogluon/common/loaders/_utils.py	146	s3.meta.client.meta.events.register("choose-signer.s3.*", disable_signing)	CODE

Self-Referential Comments14 hits · 42 pts

Severity	File	Line	Snippet	Context
MEDIUM	core/src/autogluon/core/augmentation/distill_utils.py	121	# Create an empty boolean array of appropriate shape	COMMENT
MEDIUM	…on/timeseries/models/toto/_internal/backbone/scaler.py	150	# Create a prefix mask for global statistics computation	COMMENT
MEDIUM	…meseries/models/toto/_internal/backbone/transformer.py	271	# Create a full causal mask for the new size.	COMMENT
MEDIUM	…autogluon/tabular/models/fastainn/tabular_nn_fastai.py	217	# Creating a new DataFrame is 10x+ faster than assigning results to X[self.cont_columns]	COMMENT
MEDIUM	…autogluon/tabular/models/fastainn/tabular_nn_fastai.py	224	# Creating a new DataFrame via concatenation is faster than editing values in-place	COMMENT
MEDIUM	tabular/src/autogluon/tabular/models/rf/rf_model.py	381	# The below code corrects the missing rows to NaN instead of 0.	COMMENT
MEDIUM	…abular/models/tabular_nn/utils/categorical_encoders.py	330	# Create the Tags object with appropriate settings	COMMENT
MEDIUM	multimodal/src/autogluon/multimodal/utils/load.py	125	# Create the signature	COMMENT
MEDIUM	…dal/src/autogluon/multimodal/utils/object_detection.py	94	# Create the output lists/dicts	COMMENT
MEDIUM	common/src/autogluon/common/utils/log_utils.py	105	# This function is supposed to be called before any logging from autogluon happens	COMMENT
MEDIUM	common/src/autogluon/common/loaders/_utils.py	282	# Create the signature	COMMENT
MEDIUM	examples/tabular/example_custom_feature_generator.py	70	# Create a custom feature generator #	COMMENT
MEDIUM	examples/tabular/example_custom_model_tabular.py	11	# Create a custom model #	COMMENT
MEDIUM	…/automm/kaggle_pawpularity/kaggle_pawpularity_train.py	117	# Create the split information of folds.	COMMENT

AI Slop Vocabulary17 hits · 34 pts

Severity	File	Line	Snippet	Context
LOW	core/src/autogluon/core/learning_curves/plot_curves.py	60	# in jupyter environment, simply call function to view graph	STRING
LOW	…re/src/autogluon/core/ray/distributed_jobs_managers.py	224	# Mutate num_cpus user args in worker process or even better just pass num_cpus as fit kwarg	COMMENT
MEDIUM	…s/src/autogluon/timeseries/transforms/target_scaler.py	104	"""Applies a robust scaler based on the interquartile range. Less sensitive to outliers compared to other scaler.	STRING
MEDIUM⚡	tabular/tests/unittests/data/test_learning_curves.py	94	# This is much faster to run than `get_all_model_problem_metrics`, but isn't fully comprehensive	COMMENT
MEDIUM	…/src/autogluon/tabular/models/xgboost/xgboost_model.py	117	# TODO: utilize sample_weight_val in early-stopping if provided	COMMENT
MEDIUM	…abular/models/tabular_nn/hyperparameters/parameters.py	58	"use_batchnorm": False, # whether or not to utilize batch normalization	CODE
LOW	…ular/src/autogluon/tabular/trainer/abstract_trainer.py	5180	# FIXME: Why use `model.fit_num_cpus_child` when we can use the same values as was passed to `ray` for the p	COMMENT
MEDIUM	features/src/autogluon/features/generators/cat_int.py	97	# Need to refactor passthrough logic to be more nuanced in order to enable this	COMMENT
MEDIUM	…togluon/features/generators/skrub/_squashing_scaler.py	92	r"""Perform robust centering and scaling followed by soft clipping.	CODE
LOW	…ultimodal/configs/pretrain/detection/coco_detection.py	6	# Method 1: simply set the data root and let the file I/O module	COMMENT
MEDIUM	common/src/autogluon/common/utils/cpu_utils.py	48	# 2. Use joblib's robust CPU detection	COMMENT
LOW	examples/tabular/example_custom_feature_generator.py	45	# IdentityFeatureGenerator is a 'do-nothing' feature generator if given default arguments. It will simply pass the data	COMMENT
LOW⚡	examples/tabular/example_custom_feature_generator.py	87	# return the output and the new special types of the data. For this generator, we don't add any new special type	COMMENT
LOW⚡	examples/tabular/example_custom_feature_generator.py	92	# Because this feature generator is not stateful, we simply add k to all features.	COMMENT
LOW	examples/tabular/example_custom_feature_generator.py	187	# We can even specify our custom generator too (although it needs to do a bit more to actually improve the scores, in mo	COMMENT
LOW	examples/automm/text_prediction/run_competition.py	180	# we will just use MultiModalPredictor that will train a single model internally.	COMMENT
LOW	examples/automm/text_prediction/run_text_prediction.py	118	# we will just use MultiModalPredictor that will train a single model internally.	COMMENT

Over-Commented Block31 hits · 30 pts

Severity	File	Line	Snippet	Context
LOW	…e/src/autogluon/core/metrics/classification_metrics.py	161	if (task != "multiclass") or (label_num == 1):	COMMENT
LOW	core/src/autogluon/core/models/abstract/_tags.py	1	_DEFAULT_TAGS = {	COMMENT
LOW	core/src/autogluon/core/models/abstract/_tags.py	21	# This can be implemented via passing epoch=10 (best epoch) at end of `_fit` by setting (example): `self.params_tra	COMMENT
LOW	…utogluon/core/models/ensemble/fold_fitting_strategy.py	341		COMMENT
LOW	…luon/core/models/greedy_ensemble/ensemble_selection.py	101	logger.log(15, f"Subsampling to {self.subsample_size} samples to speedup ensemble selection...")	COMMENT
LOW	…dels/toto/_internal/backbone/rotary_embedding_torch.py	1	# Source: https://github.com/lucidrains/rotary-embedding-torch	COMMENT
LOW	autogluon/src/autogluon/_internal_/__init__.py	1	# Placeholder to resolve empty package	COMMENT
LOW	tabular/tests/unittests/models/test_rf.py	41		COMMENT
LOW	…ts/unittests/models/advanced/test_model_random_seed.py	21	# # The below is only for full extended tests only for sanity check, not the CI	COMMENT
LOW	…rc/autogluon/tabular/models/fastainn/imports_helper.py	1	from fastai.tabular.all import *	COMMENT
LOW	tabular/src/autogluon/tabular/models/rf/rf_quantile.py	1	# The original implementation in this file was based on scikit-garden that comes under the following license.	COMMENT
LOW	tabular/src/autogluon/tabular/models/rf/rf_quantile.py	21	# its contributors may be used to endorse or promote products	COMMENT
LOW	…abular/models/tabular_nn/utils/categorical_encoders.py	281	Xi[~valid_mask] = self.categories_[i][0]	COMMENT
LOW	…ar/src/autogluon/tabular/models/tabdpt/tabdpt_model.py	21	# Train Data Columns: 1776	COMMENT
LOW	…bular/src/autogluon/tabular/configs/presets_configs.py	61	"refit_full": True,	COMMENT
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	4381	verbose : bool, default = True	COMMENT
LOW	features/src/autogluon/features/generators/datetime.py	41	return dict(required_raw_special_pairs=[(R_DATETIME, None), (None, [S_DATETIME_AS_OBJECT])])	COMMENT
LOW	multimodal/src/autogluon/multimodal/optim/deepspeed.py	1	# Slightly adapted file of lightning.pytorch.strategies.deepspeed to not init deepspeed using lightning's deepspeed infe	COMMENT
LOW	…/models/custom_hf_models/modeling_sam_for_conv_lora.py	1	# coding=utf-8	COMMENT
LOW	…ultimodal/configs/pretrain/detection/coco_detection.py	1	# dataset settings	COMMENT
LOW	…ultimodal/configs/pretrain/detection/coco_detection.py	81	# num_workers=2,	COMMENT
LOW	…ltimodal/configs/pretrain/detection/default_runtime.py	21	# set multi-process start method as `fork` to speed up the training	COMMENT
LOW	…dal/src/autogluon/multimodal/configs/data/default.yaml	41	# 2:	COMMENT
LOW	multimodal/src/autogluon/multimodal/data/randaug.py	161	return img	COMMENT
LOW	common/setup.py	1	#!/usr/bin/env python	COMMENT
LOW	…tomm/object_detection/quick_start_on_a_tiny_dataset.py	61		COMMENT
LOW	.github/workflows/continuous_integration.yml	41	other_than_docs:	COMMENT
LOW	.github/workflows/continuous_integration.yml	61	# auto-update-conda: true	COMMENT
LOW	.github/workflows/continuous_integration.yml	81	# echo "Package Versions:" >> ./package_versions_${cur_date}.txt	COMMENT
LOW	.github/workflows/continuous_integration.yml	181	command: chmod +x ./.github/workflow_scripts/test_tabular.sh && ./.github/workflow_scripts/test_tabular.sh	COMMENT
LOW	release_instructions/add_links_to_release_notes.py	101	# "v0.7.0.md",	COMMENT

Redundant / Tautological Comments19 hits · 27 pts

Severity	File	Line	Snippet	Context
LOW	full_install.sh	10	# Check if we're in Colab	COMMENT
LOW	core/src/autogluon/core/searcher/searcher_factory.py	55	# Check if searcher_cls is a lambda - evaluate then	COMMENT
LOW	core/src/autogluon/core/utils/utils.py	465	# Set train_size to None to avoid edge-case exceptions with rare classes during stratification	COMMENT
LOW	…utogluon/core/models/ensemble/bagged_ensemble_model.py	704	# Check if pred_proba is going to take too long	COMMENT
LOW	…utogluon/core/models/ensemble/fold_fitting_strategy.py	462	# Set CUDA_VISIBLE_DEVICES to the assigned GPU IDs	COMMENT
LOW	…on/timeseries/models/toto/_internal/backbone/scaler.py	94	# Check if deterministic algorithms are enabled and we're using CUDA.	COMMENT
LOW	…/autogluon/tabular/experimental/_tabular_classifier.py	63	# Check if fit has been called	COMMENT
LOW	…c/autogluon/tabular/experimental/_tabular_regressor.py	53	# Check if fit has been called	COMMENT
LOW	…lar/src/autogluon/tabular/models/lr/lr_rapids_model.py	52	if hasattr(X, "toarray"): # Check if it's a sparse matrix	CODE
LOW	…ular/src/autogluon/tabular/trainer/abstract_trainer.py	1998	# Check if already compiled, or if can't compile due to missing dependencies,	COMMENT
LOW	…src/autogluon/tabular/trainer/model_presets/presets.py	136	# Check if model_cfg is valid	COMMENT
LOW	…src/autogluon/tabular/trainer/model_presets/presets.py	261	# Check if model is valid	COMMENT
LOW	…rc/autogluon/features/generators/oof_target_encoder.py	261	# Assign encodings to OOF for this fold	COMMENT
LOW	…imodal/tests/unittests/others/test_object_detection.py	201	# Check if all differences are within tolerance	COMMENT
LOW	multimodal/tests/unittests/others_2/test_few_shot.py	209	# Check if the predictor can be loaded from an offline environment.	COMMENT
LOW	multimodal/tests/unittests/predictor/test_predictor.py	417	# Check if the predictor can be loaded from an offline environment.	COMMENT
LOW	…l/src/autogluon/multimodal/models/adaptation_layers.py	254	fan_in_fan_out: bool = False, # Set this to True if the layer to replace stores weight like (fan_in, fan_out)	CODE
LOW	…l/src/autogluon/multimodal/models/adaptation_layers.py	643	fan_in_fan_out: bool = False, # Set this to True if the layer to replace stores weight like (fan_in, fan_out)	CODE
LOW	multimodal/src/autogluon/multimodal/data/infer_types.py	626	# Check if it is document image or not.	COMMENT

Modern AI Meta-Vocabulary10 hits · 26 pts

Severity	File	Line	Snippet	Context
MEDIUM⚡	core/tests/unittests/ray/test_parallel_gpu_prototype.py	112	# CPUs ARE aggregated across the parallel folds the parent orchestrates...	COMMENT
MEDIUM	core/tests/unittests/ray/test_parallel_gpu_prototype.py	100	parent.model_base = child # bagged: parent orchestrates a separate child model	CODE
MEDIUM	docs/whats_new/v1.5.0.md	29	predictor.fit(train_data, presets="chronos2") # zero-shot mode	CODE
MEDIUM	docs/whats_new/v1.2.0.md	63	Chronos-Bolt models are not only significantly faster but also more accurate than the original Chronos models. The follo	CODE
MEDIUM	…autogluon/multimodal/learners/semantic_segmentation.py	261	if self._output_shape is None: # for zero-shot evaluation/prediction	CODE
MEDIUM	…odal/src/autogluon/multimodal/learners/few_shot_svm.py	117	self._tuning_data = tuning_data # TODO: use tuning_data in few shot learning?	CODE
MEDIUM	multimodal/src/autogluon/multimodal/learners/base.py	452	# Determine data scarcity mode, i.e. a few-shot scenario	COMMENT
MEDIUM	…dal/src/autogluon/multimodal/configs/data/default.yaml	20	column_features_pooling_mode: "concat" # How to pool multi-column features into one feature vector. Currently only su	CODE
MEDIUM	multimodal/src/autogluon/multimodal/data/infer_types.py	85	# TODO(?) The following logic will be problematic if the task is few-shot learning.	COMMENT
MEDIUM	multimodal/src/autogluon/multimodal/data/infer_types.py	729	# For zero-shot inference, label column is unnecessary	COMMENT

Structural Annotation Overuse10 hits · 16 pts

Severity	File	Line	Snippet	Context
LOW⚡	features/src/autogluon/features/generators/cat_int.py	316	# Step 1: out-of-range positions (unseen)	COMMENT
LOW⚡	features/src/autogluon/features/generators/cat_int.py	319	# Step 2: in-range but not equal → unseen mismatch	COMMENT
LOW	release_instructions/autogluon-conda-upgrade/SKILL.md	10	## Step 1: Prerequisites Check	COMMENT
LOW	release_instructions/autogluon-conda-upgrade/SKILL.md	34	## Step 2: Setup Working Directory and Fork/Clone Repos	COMMENT
LOW	release_instructions/autogluon-conda-upgrade/SKILL.md	49	## Step 3: Compute SHA256 Hash	COMMENT
LOW	release_instructions/autogluon-conda-upgrade/SKILL.md	59	## Step 4: Fetch and Analyze Dependencies	COMMENT
LOW	release_instructions/autogluon-conda-upgrade/SKILL.md	93	## Step 5: Update Each Feedstock	COMMENT
LOW	release_instructions/autogluon-conda-upgrade/SKILL.md	145	## Step 6: Commit and Push	COMMENT
LOW	release_instructions/autogluon-conda-upgrade/SKILL.md	155	## Step 7: Create Pull Requests	COMMENT
LOW	release_instructions/autogluon-conda-upgrade/SKILL.md	179	## Step 8: Final Summary	COMMENT

AI Response Leakage1 hit · 8 pts

Severity	File	Line	Snippet	Context
HIGH	examples/tabular/example_custom_model_tabular.py	14	# In this example, we create a custom Naive Bayes model for use in AutoGluon	COMMENT

TODO Padding4 hits · 6 pts

Severity	File	Line	Snippet	Context
LOW	core/src/autogluon/core/constants.py	39	# TODO: Add error in AG_ARGS if unknown key present	COMMENT
LOW	…n/timeseries/models/multi_window/multi_window_model.py	102	# TODO: implement parallel fitting similar to ParallelLocalFoldFittingStrategy in tabular?	COMMENT
LOW	tabular/src/autogluon/tabular/predictor/predictor.py	88	# TODO: consider adding kwarg option for data which has already been preprocessed by feature generator to skip feature g	COMMENT
LOW	common/src/autogluon/common/loaders/load_s3.py	36	# TODO: consider using a single parameter supporting wildcards or regex - this will solve all possible use cases for fil	COMMENT

Verbosity Indicators2 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW⚡	features/src/autogluon/features/generators/cat_int.py	316	# Step 1: out-of-range positions (unseen)	COMMENT
LOW⚡	features/src/autogluon/features/generators/cat_int.py	319	# Step 2: in-range but not equal → unseen mismatch	COMMENT

Fake / Example Data1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	…eries/src/autogluon/timeseries/models/chronos/utils.py	126	dummy_value=np.nan,	CODE

Slop Phrases1 hit · 1 pts

Severity	File	Line	Snippet	Context
MEDIUM	examples/tabular/example_advanced_tabular.py	2	Note that all settings demonstrated here are just chosen for demonstration purposes (to minimize runtime), and do no	STRING

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