apsora

/

tabular_autoML_model

like 0

• "collections.defaultdict",
• "numpy.uint8",
• "autogluon.features.generators.binned.BinnedFeatureGenerator",
• "autogluon.features.generators.auto_ml_pipeline.AutoMLPipelineFeatureGenerator",
• "pandas.core.indexes.range.RangeIndex",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.features.generators.text_special.TextSpecialFeatureGenerator",
• "autogluon.features.generators.drop_unique.DropUniqueFeatureGenerator",
• "pandas.core.indexes.base.Index",
• "numpy._core.multiarray.scalar",
• "autogluon.tabular.predictor.predictor.TabularPredictor",
• "numpy._core.numeric._frombuffer",
• "autogluon.features.generators.text_ngram.TextNgramFeatureGenerator",
• "networkx.classes.reportviews.NodeView",
• "sklearn.feature_extraction.text.CountVectorizer",
• "numpy.dtype",
• "pandas.core.indexes.base._new_Index",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.core.models.ensemble.stacker_ensemble_model.StackerEnsembleModel",
• "autogluon.core.models.greedy_ensemble.greedy_weighted_ensemble_model.GreedyWeightedEnsembleModel",
• "autogluon.features.generators.memory_minimize.CategoryMemoryMinimizeFeatureGenerator",
• "numpy.ndarray",
• "autogluon.tabular.models.tabular_nn.torch.tabular_nn_torch.TabularNeuralNetTorchModel",
• "builtins.list",
• "autogluon.core.data.cleaner.CleanerMulticlass",
• "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.tabular.models.rf.rf_model.RFModel",
• "autogluon.tabular.models.xgboost.xgboost_model.XGBoostModel",
• "autogluon.tabular.models.xt.xt_model.XTModel",
• "autogluon.tabular.models.fastainn.tabular_nn_fastai.NNFastAiTabularModel",
• "networkx.classes.digraph.DiGraph",
• "autogluon.tabular.learner.default_learner.DefaultLearner",
• "numpy._core.multiarray._reconstruct",
• "autogluon.features.generators.fillna.FillNaFeatureGenerator",
• "autogluon.features.generators.category.CategoryFeatureGenerator",
• "autogluon.tabular.models.lgb.lgb_model.LGBModel",
• "autogluon.tabular.trainer.auto_trainer.AutoTrainer",
• "autogluon.core.data.label_cleaner.LabelCleanerMulticlass"

How to fix it?

• "autogluon.tabular.predictor.predictor.TabularPredictor",
• "numpy._core.multiarray.scalar",
• "numpy.dtype",
• "autogluon.tabular.learner.default_learner.DefaultLearner",
• "numpy.ndarray",
• "autogluon.features.generators.fillna.FillNaFeatureGenerator",
• "pandas.core.indexes.base.Index",
• "autogluon.core.metrics._ClassScorer",
• "numpy._core.multiarray._reconstruct",
• "autogluon.features.generators.text_ngram.TextNgramFeatureGenerator",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "sklearn.feature_extraction.text.CountVectorizer",
• "autogluon.core.data.label_cleaner.LabelCleanerMulticlass",
• "autogluon.features.generators.text_special.TextSpecialFeatureGenerator",
• "collections.defaultdict",
• "pandas.core.indexes.range.RangeIndex",
• "autogluon.core.data.cleaner.CleanerMulticlass",
• "autogluon.features.generators.drop_unique.DropUniqueFeatureGenerator",
• "autogluon.features.generators.binned.BinnedFeatureGenerator",
• "autogluon.features.generators.auto_ml_pipeline.AutoMLPipelineFeatureGenerator",
• "pandas.core.indexes.base._new_Index",
• "autogluon.features.generators.category.CategoryFeatureGenerator",
• "autogluon.features.generators.drop_duplicates.DropDuplicatesFeatureGenerator",
• "autogluon.tabular.trainer.auto_trainer.AutoTrainer",
• "numpy.dtype",
• "autogluon.features.generators.astype.AsTypeFeatureGenerator",
• "autogluon.tabular.learner.default_learner.DefaultLearner",
• "numpy._core.multiarray.scalar",
• "builtins.list",
• "sklearn.metrics._classification.accuracy_score",
• "numpy.uint8",
• "autogluon.features.generators.memory_minimize.CategoryMemoryMinimizeFeatureGenerator",
• "pandas.core.internals.managers.SingleBlockManager",
• "builtins.slice",
• "numpy._core.multiarray._reconstruct",
• "pandas.core.indexes.base._new_Index",
• "numpy.ndarray",
• "pandas.core.indexes.base.Index",
• "numpy.dtype",
• "pandas.core.series.Series",
• "builtins.slice",
• "numpy._core.multiarray._reconstruct",
• "pandas.core.indexes.range.RangeIndex",
• "pandas.core.frame.DataFrame",
• "pandas.core.arrays.categorical.Categorical",
• "pandas.core.indexes.base._new_Index",
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• "numpy.ndarray",
• "pandas.core.dtypes.dtypes.CategoricalDtype",
• "pandas.core.indexes.base.Index",
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• "pandas.core.internals.managers.BlockManager",
• "networkx.classes.reportviews.NodeView",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.core.models.ensemble.stacker_ensemble_model.StackerEnsembleModel",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.tabular.models.xgboost.xgboost_model.XGBoostModel",
• "networkx.classes.digraph.DiGraph",
• "collections.defaultdict",
• "autogluon.core.models.greedy_ensemble.greedy_weighted_ensemble_model.GreedyWeightedEnsembleModel",
• "autogluon.tabular.models.rf.rf_model.RFModel",
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• "autogluon.tabular.models.xt.xt_model.XTModel",
• "numpy.dtype",
• "autogluon.tabular.models.lgb.lgb_model.LGBModel",
• "autogluon.core.models.ensemble.weighted_ensemble_model.WeightedEnsembleModel",
• "numpy._core.multiarray.scalar",
• "autogluon.tabular.models.fastainn.tabular_nn_fastai.NNFastAiTabularModel",
• "builtins.list",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.tabular.trainer.auto_trainer.AutoTrainer",
• "collections.defaultdict",
• "autogluon.core.models.ensemble.stacker_ensemble_model.StackerEnsembleModel",
• "autogluon.tabular.models.lgb.lgb_model.LGBModel",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.tabular.models.fastainn.tabular_nn_fastai.NNFastAiTabularModel",
• "autogluon.tabular.models.rf.rf_model.RFModel",
• "autogluon.tabular.models.tabular_nn.torch.tabular_nn_torch.TabularNeuralNetTorchModel",
• "builtins.list",
• "autogluon.tabular.models.xt.xt_model.XTModel",
• "sklearn.metrics._classification.accuracy_score",
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• "autogluon.tabular.models.xgboost.xgboost_model.XGBoostModel",
• "autogluon.tabular.models.rf.rf_model.RFModel",
• "autogluon.core.metrics._ClassScorer",
• "sklearn.metrics._classification.accuracy_score",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy._core.multiarray._reconstruct",
• "collections.defaultdict",
• "autogluon.features.generators.label_encoder.LabelEncoderFeatureGenerator",
• "autogluon.tabular.models.rf.compilers.native.AbstractNativeCompiler",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "numpy._core.multiarray.scalar",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.tabular.models.rf.rf_model.RFModel",
• "numpy.ndarray",
• "sklearn.tree._tree.Tree",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy.dtype",
• "builtins.list",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.metrics._ClassScorer",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.tabular.models.catboost.catboost_model.CatBoostModel",
• "collections.defaultdict",
• "autogluon.core.models.ensemble.stacker_ensemble_model.StackerEnsembleModel",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.tabular.models.rf.rf_model.RFModel",
• "builtins.list",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.tabular.models.rf.rf_model.RFModel",
• "autogluon.core.metrics._ClassScorer",
• "sklearn.metrics._classification.accuracy_score",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy._core.multiarray._reconstruct",
• "collections.defaultdict",
• "autogluon.features.generators.label_encoder.LabelEncoderFeatureGenerator",
• "autogluon.tabular.models.rf.compilers.native.AbstractNativeCompiler",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "numpy._core.multiarray.scalar",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.tabular.models.rf.rf_model.RFModel",
• "numpy.ndarray",
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• "numpy.dtype",
• "builtins.list",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.metrics._ClassScorer",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.tabular.models.catboost.catboost_model.CatBoostModel",
• "sklearn.model_selection._split.RepeatedStratifiedKFold",
• "sklearn.model_selection._split.StratifiedKFold",
• "collections.defaultdict",
• "autogluon.core.models.ensemble.stacker_ensemble_model.StackerEnsembleModel",
• "autogluon.tabular.models.lgb.lgb_model.LGBModel",
• "autogluon.core.utils.utils.CVSplitter",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.tabular.models.fastainn.tabular_nn_fastai.NNFastAiTabularModel",
• "autogluon.tabular.models.rf.rf_model.RFModel",
• "autogluon.tabular.models.tabular_nn.torch.tabular_nn_torch.TabularNeuralNetTorchModel",
• "builtins.list",
• "autogluon.tabular.models.xt.xt_model.XTModel",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.tabular.models.xgboost.xgboost_model.XGBoostModel",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.tabular.models.xgboost.xgboost_model.XGBoostModel",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy._core.multiarray._reconstruct",
• "collections.defaultdict",
• "autogluon.tabular.models.xgboost.xgboost_utils.OheFeatureGenerator",
• "numpy.float64",
• "autogluon.features.generators.label_encoder.LabelEncoderFeatureGenerator",
• "collections.OrderedDict",
• "autogluon.tabular.models.tabular_nn.utils.categorical_encoders.OneHotMergeRaresHandleUnknownEncoder",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "numpy.ndarray",
• "builtins.list",
• "numpy.dtype",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.tabular.models.xgboost.xgboost_model.XGBoostModel",
• "xgboost.sklearn.XGBClassifier",
• "numpy._core.multiarray._reconstruct",
• "collections.defaultdict",
• "autogluon.tabular.models.xgboost.xgboost_utils.OheFeatureGenerator",
• "numpy.float64",
• "autogluon.features.generators.label_encoder.LabelEncoderFeatureGenerator",
• "collections.OrderedDict",
• "autogluon.tabular.models.tabular_nn.utils.categorical_encoders.OneHotMergeRaresHandleUnknownEncoder",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
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• "numpy.float64",
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• "numpy.float64",
• "autogluon.features.generators.label_encoder.LabelEncoderFeatureGenerator",
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• "numpy.float64",
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• "collections.OrderedDict",
• "autogluon.tabular.models.tabular_nn.utils.categorical_encoders.OneHotMergeRaresHandleUnknownEncoder",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "numpy.ndarray",
• "builtins.list",
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• "autogluon.tabular.models.xgboost.xgboost_utils.OheFeatureGenerator",
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• "sklearn.model_selection._split.StratifiedKFold",
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• "autogluon.core.utils.utils.CVSplitter",
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• "autogluon.core.metrics._ClassScorer",
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• "autogluon.tabular.models.fastainn.tabular_nn_fastai.NNFastAiTabularModel",
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• "numpy._core.multiarray._reconstruct",
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• "sklearn.ensemble._forest.RandomForestClassifier",
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• "numpy.ndarray",
• "sklearn.tree._tree.Tree",
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• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.metrics._ClassScorer"

How to fix it?