aedupuga

/

recommendation_predictor_nn

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?

• "autogluon.features.generators.identity.IdentityFeatureGenerator",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.features.generators.astype.AsTypeFeatureGenerator",
• "numpy._core.multiarray.scalar",
• "autogluon.features.generators.memory_minimize.CategoryMemoryMinimizeFeatureGenerator",
• "autogluon.features.generators.category.CategoryFeatureGenerator",
• "pandas.core.indexes.base._new_Index",
• "builtins.list",
• "autogluon.core.data.label_cleaner.LabelCleanerBinary",
• "autogluon.features.generators.drop_duplicates.DropDuplicatesFeatureGenerator",
• "autogluon.core.metrics._ClassScorer",
• "sklearn.metrics._classification.accuracy_score",
• "numpy.dtype",
• "collections.defaultdict",
• "pandas.core.indexes.range.RangeIndex",
• "autogluon.features.generators.drop_unique.DropUniqueFeatureGenerator",
• "pandas.core.indexes.base.Index",
• "autogluon.tabular.trainer.auto_trainer.AutoTrainer",
• "numpy.int8",
• "autogluon.features.generators.fillna.FillNaFeatureGenerator",
• "autogluon.features.generators.auto_ml_pipeline.AutoMLPipelineFeatureGenerator",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "autogluon.tabular.learner.default_learner.DefaultLearner",
• "autogluon.core.data.cleaner.CleanerDummy",
• "autogluon.tabular.learner.default_learner.DefaultLearner",
• "autogluon.tabular.predictor.predictor.TabularPredictor",
• "numpy._core.multiarray.scalar",
• "autogluon.tabular.trainer.auto_trainer.AutoTrainer",
• "autogluon.core.metrics._ClassScorer",
• "networkx.classes.digraph.DiGraph",
• "autogluon.core.models.ensemble.weighted_ensemble_model.WeightedEnsembleModel",
• "networkx.classes.reportviews.NodeView",
• "autogluon.tabular.models.mitra.mitra_model.MitraModel",
• "autogluon.core.models.greedy_ensemble.greedy_weighted_ensemble_model.GreedyWeightedEnsembleModel",
• "builtins.list",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.tabular.models.tabpfnv2.tabpfnv2_model.TabPFNV2Model",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "numpy.dtype",
• "collections.defaultdict",
• "autogluon.tabular.models.tabicl.tabicl_model.TabICLModel",
• "numpy._core.multiarray.scalar",
• "autogluon.core.models.greedy_ensemble.ensemble_selection.EnsembleSelection",
• "autogluon.core.metrics._ClassScorer",
• "numpy.random._pickle.__bit_generator_ctor",
• "autogluon.core.models.ensemble.weighted_ensemble_model.WeightedEnsembleModel",
• "autogluon.tabular.models.tabicl.tabicl_model.TabICLModel",
• "autogluon.core.models.greedy_ensemble.greedy_weighted_ensemble_model.GreedyWeightedEnsembleModel",
• "builtins.list",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.tabular.models.mitra.mitra_model.MitraModel",
• "numpy.random._mt19937.MT19937",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.tabular.models.tabpfnv2.tabpfnv2_model.TabPFNV2Model",
• "numpy.dtype",
• "collections.defaultdict",
• "numpy.random._pickle.__randomstate_ctor",
• "autogluon.core.models.greedy_ensemble.ensemble_selection.EnsembleSelection",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.core.models.greedy_ensemble.greedy_weighted_ensemble_model.GreedyWeightedEnsembleModel",
• "sklearn.metrics._classification.accuracy_score",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "torch.storage._load_from_bytes",
• "autogluon.tabular.models.mitra._internal.data.preprocessor.Preprocessor",
• "numpy.random._mt19937.MT19937",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.tabular.models.mitra._internal.core.trainer_finetune.TrainerFinetune",
• "autogluon.tabular.models.mitra.sklearn_interface.MitraClassifier",
• "collections.OrderedDict",
• "autogluon.tabular.models.mitra._internal.config.config_run.ConfigRun",
• "torch._utils._rebuild_tensor_v2",
• "autogluon.features.generators.label_encoder.LabelEncoderFeatureGenerator",
• "builtins.list",
• "autogluon.tabular.models.mitra._internal.core.callbacks.EarlyStopping",
• "autogluon.core.metrics._ClassScorer",
• "numpy.random._pickle.__bit_generator_ctor",
• "autogluon.tabular.models.mitra.mitra_model.MitraModel",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.tabular.models.mitra._internal.config.enums.ModelName",
• "numpy.dtype",
• "collections.defaultdict",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "autogluon.tabular.models.mitra._internal.core.get_loss.CrossEntropyLossExtraBatch",
• "autogluon.tabular.models.mitra._internal.core.get_optimizer.GradScaler",
• "numpy.random._pickle.__randomstate_ctor",
• "tabicl.model.tabicl.TabICL",
• "sklearn.preprocessing._data.StandardScaler",
• "tabicl.sklearn.preprocessing.TransformToNumerical",
• "torch.storage._load_from_bytes",
• "tabicl.model.layers.InducedSelfAttentionBlock",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "tabicl.model.embedding.ColEmbedding",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.normalization.LayerNorm",
• "tabicl.model.interaction.RowInteraction",
• "tabicl.model.encoders.Encoder",
• "collections.OrderedDict",
• "numpy._core.multiarray.scalar",
• "random.Random",
• "tabicl.model.inference_config.MgrConfig",
• "sklearn.preprocessing._label.LabelEncoder",
• "torch._utils._rebuild_tensor_v2",
• "tabicl.model.rope.RotaryEmbedding",
• "tabicl.model.inference.InferenceManager",
• "builtins.list",
• "builtins.slice",
• "tabicl.model.layers.MultiheadAttention",
• "torch.nn.modules.linear.Linear",
• "tabicl.model.layers.SkippableLinear",
• "torch.device",
• "tabicl.model.inference_config.InferenceConfig",
• "sklearn.impute._base.SimpleImputer",
• "autogluon.core.metrics._ClassScorer",
• "torch._utils._rebuild_parameter",
• "tabicl.sklearn.preprocessing.PreprocessingPipeline",
• "tabicl.sklearn.classifier.TabICLClassifier",
• "torch.nn.modules.dropout.Dropout",
• "sklearn.preprocessing._encoders.OrdinalEncoder",
• "sklearn.metrics._classification.accuracy_score",
• "tabicl.model.encoders.SetTransformer",
• "sklearn.preprocessing._data.PowerTransformer",
• "numpy.dtype",
• "collections.defaultdict",
• "autogluon.tabular.models.tabicl.tabicl_model.TabICLModel",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.container.ModuleList",
• "tabicl.sklearn.preprocessing.UniqueFeatureFilter",
• "numpy.int64",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "torch.nn.modules.activation.GELU",
• "pathlib.PosixPath",
• "tabicl.model.layers.MultiheadAttentionBlock",
• "tabicl.model.learning.ICLearning",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "tabicl.model.layers.OneHotAndLinear",
• "tabicl.sklearn.preprocessing.OutlierRemover",
• "tabicl.sklearn.preprocessing.EnsembleGenerator",
• "tabicl.sklearn.preprocessing.CustomStandardScaler",
• "torch._C._nn.gelu",
• "sklearn.preprocessing._data.StandardScaler",
• "tabpfn.architectures.base.encoders.NanHandlingEncoderStep",
• "tabpfn.architectures.base.preprocessing.ShuffleFeaturesStep",
• "tabpfn.architectures.base.preprocessing.AddFingerprintFeaturesStep",
• "tabpfn.preprocessing.PreprocessorConfig",
• "torch.storage._load_from_bytes",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "tabpfn.architectures.base.encoders.RemoveEmptyFeaturesEncoderStep",
• "tabpfn.architectures.base.config.ModelConfig",
• "sklearn.pipeline.Pipeline",
• "sklearn.pipeline.FeatureUnion",
• "collections.OrderedDict",
• "tabpfn.architectures.base.preprocessing.AdaptiveQuantileTransformer",
• "numpy._core.multiarray.scalar",
• "sklearn.preprocessing._label.LabelEncoder",
• "tabpfn.architectures.base.preprocessing._identity",
• "tabpfn.architectures.base.transformer.PerFeatureTransformer",
• "sklearn.decomposition._truncated_svd.TruncatedSVD",
• "tabpfn.architectures.base.layer.LayerNorm",
• "torch._utils._rebuild_tensor_v2",
• "autogluon.features.generators.label_encoder.LabelEncoderFeatureGenerator",
• "sklearn.compose._column_transformer.make_column_selector",
• "tabpfn.config.ModelInterfaceConfig",
• "builtins.list",
• "tabpfn.architectures.base.encoders.SequentialEncoder",
• "builtins.slice",
• "torch.nn.modules.linear.Linear",
• "autogluon.tabular.models.tabpfnv2.tabpfnv2_model.TabPFNV2Model",
• "tabpfn.architectures.base.layer.PerFeatureEncoderLayer",
• "torch.device",
• "tabpfn.preprocessing.ClassifierEnsembleConfig",
• "tabpfn.architectures.base.preprocessing.ReshapeFeatureDistributionsStep",
• "sklearn.impute._base.SimpleImputer",
• "tabpfn.architectures.base.mlp.Activation",
• "autogluon.core.metrics._ClassScorer",
• "tabpfn.architectures.base.attention.full_attention.MultiHeadAttention",
• "torch._utils._rebuild_parameter",
• "sklearn.preprocessing._encoders.OrdinalEncoder",
• "sklearn.metrics._classification.accuracy_score",
• "tabpfn.architectures.base.mlp.MLP",
• "tabpfn.classifier.TabPFNClassifier",
• "tabpfn.architectures.base.preprocessing._inf_to_nan_func",
• "numpy.dtype",
• "collections.defaultdict",
• "tabpfn.architectures.base.encoders.MulticlassClassificationTargetEncoder",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.container.ModuleList",
• "tabpfn.architectures.base.encoders.VariableNumFeaturesEncoderStep",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "numpy.float64",
• "torch.nn.modules.activation.GELU",
• "tabpfn.architectures.base.encoders.InputNormalizationEncoderStep",
• "tabpfn.architectures.base.transformer.LayerStack",
• "tabpfn.inference.InferenceEngineCachePreprocessing",
• "tabpfn.architectures.base.preprocessing.EncodeCategoricalFeaturesStep",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "sklearn.preprocessing._function_transformer.FunctionTransformer",
• "tabpfn.architectures.base.preprocessing.SequentialFeatureTransformer",
• "tabpfn.architectures.base.encoders.LinearInputEncoderStep",
• "tabpfn.architectures.base.preprocessing.RemoveConstantFeaturesStep",
• "torch.nn.modules.container.ModuleDict",
• "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
• "pandas.core.indexes.range.RangeIndex",
• "pandas.core.arrays.categorical.Categorical",
• "numpy.dtype",
• "pandas.core.indexes.base._new_Index",
• "builtins.slice",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "pandas._libs.internals._unpickle_block",
• "pandas.core.frame.DataFrame",
• "pandas.core.internals.managers.BlockManager",
• "pandas.core.indexes.base.Index",
• "pandas.core.dtypes.dtypes.CategoricalDtype",
• "pandas.core.series.Series",
• "pandas.core.indexes.base._new_Index",
• "builtins.slice",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "pandas.core.internals.managers.SingleBlockManager",
• "pandas.core.indexes.base.Index",
• "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
• "pandas.core.indexes.range.RangeIndex",
• "pandas.core.arrays.categorical.Categorical",
• "numpy.dtype",
• "pandas.core.indexes.base._new_Index",
• "builtins.slice",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "pandas._libs.internals._unpickle_block",
• "pandas.core.frame.DataFrame",
• "pandas.core.internals.managers.BlockManager",
• "pandas.core.indexes.base.Index",
• "pandas.core.dtypes.dtypes.CategoricalDtype",
• "pandas.core.series.Series",
• "pandas.core.indexes.base._new_Index",
• "builtins.slice",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "pandas.core.internals.managers.SingleBlockManager",
• "pandas.core.indexes.base.Index",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?