Fetching metadata from the HF Docker repository...
Upload model
d10e27a
verified
-
models
Upload model
-
utils
Upload model
-
6.15 kB
Upload model
learner.pkl
Detected Pickle imports (19)
- "autogluon.features.generators.identity.IdentityFeatureGenerator",
- "autogluon.features.generators.drop_duplicates.DropDuplicatesFeatureGenerator",
- "autogluon.core.data.cleaner.CleanerDummy",
- "collections.defaultdict",
- "autogluon.features.generators.astype.AsTypeFeatureGenerator",
- "autogluon.tabular.trainer.auto_trainer.AutoTrainer",
- "autogluon.common.features.feature_metadata.FeatureMetadata",
- "numpy.core.multiarray.scalar",
- "numpy.ndarray",
- "autogluon.features.generators.drop_unique.DropUniqueFeatureGenerator",
- "autogluon.tabular.learner.default_learner.DefaultLearner",
- "autogluon.core.data.label_cleaner.LabelCleanerDummy",
- "autogluon.features.generators.fillna.FillNaFeatureGenerator",
- "numpy.core.multiarray._reconstruct",
- "autogluon.core.metrics._PredictScorer",
- "numpy.dtype",
- "autogluon.features.generators.auto_ml_pipeline.AutoMLPipelineFeatureGenerator",
- "builtins.list",
- "autogluon.core.metrics.rmse_func"
How to fix it?
165 kB
Upload model
-
9.56 kB
Upload model
predictor.pkl
Detected Pickle imports (4)
- "autogluon.tabular.predictor.predictor.TabularPredictor",
- "numpy.core.multiarray.scalar",
- "autogluon.tabular.learner.default_learner.DefaultLearner",
- "numpy.dtype"
How to fix it?
8.1 kB
Upload model
-
5 Bytes
Upload model