mohitk24

/

tabular_autogluon_predictor

like 0

• "collections.defaultdict",
• "autogluon.features.generators.auto_ml_pipeline.AutoMLPipelineFeatureGenerator",
• "autogluon.core.data.label_cleaner.LabelCleanerBinary",
• "pandas.core.indexes.range.RangeIndex",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.features.generators.drop_unique.DropUniqueFeatureGenerator",
• "pandas.core.indexes.base.Index",
• "numpy._core.multiarray.scalar",
• "autogluon.tabular.predictor.predictor.TabularPredictor",
• "numpy._core.numeric._frombuffer",
• "networkx.classes.reportviews.NodeView",
• "numpy.dtype",
• "pandas.core.indexes.base._new_Index",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.core.models.greedy_ensemble.greedy_weighted_ensemble_model.GreedyWeightedEnsembleModel",
• "autogluon.features.generators.memory_minimize.CategoryMemoryMinimizeFeatureGenerator",
• "numpy.ndarray",
• "builtins.list",
• "autogluon.features.generators.identity.IdentityFeatureGenerator",
• "autogluon.tabular.models.tabpfnv2.tabpfnv2_model.TabPFNV2Model",
• "autogluon.tabular.trainer.auto_trainer.AutoTrainer",
• "numpy.int8",
• "autogluon.features.generators.drop_duplicates.DropDuplicatesFeatureGenerator",
• "autogluon.features.generators.astype.AsTypeFeatureGenerator",
• "autogluon.core.models.ensemble.weighted_ensemble_model.WeightedEnsembleModel",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.data.cleaner.CleanerDummy",
• "autogluon.tabular.models.tabicl.tabicl_model.TabICLModel",
• "numpy._core.multiarray._reconstruct",
• "networkx.classes.digraph.DiGraph",
• "autogluon.tabular.learner.default_learner.DefaultLearner",
• "autogluon.features.generators.fillna.FillNaFeatureGenerator",
• "autogluon.features.generators.category.CategoryFeatureGenerator",
• "autogluon.tabular.models.mitra.mitra_model.MitraModel"

How to fix it?