- data Upload player embeddings CSV
- model Upload AutoGluon model
- 709 Bytes Upload AutoGluon model
- 4.48 kB Create README.md
- autogluon_predictor_dir.zip1.53 MB
Detected Pickle imports (321)
- "autogluon.tabular.learner.default_learner.DefaultLearner",
- "autogluon.tabular.predictor.predictor.TabularPredictor",
- "autogluon.core.data.cleaner.CleanerDummy",
- "autogluon.features.generators.drop_unique.DropUniqueFeatureGenerator",
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- "numpy.ndarray",
- "numpy.int8",
- "pandas.core.indexes.range.RangeIndex",
- "autogluon.features.generators.category.CategoryFeatureGenerator",
- "pandas.core.indexes.base._new_Index",
- "autogluon.tabular.trainer.auto_trainer.AutoTrainer",
- "autogluon.features.generators.drop_duplicates.DropDuplicatesFeatureGenerator",
- "pandas.core.indexes.base.Index",
- "numpy.dtype",
- "autogluon.features.generators.identity.IdentityFeatureGenerator",
- "autogluon.core.data.label_cleaner.LabelCleanerDummy",
- "autogluon.features.generators.astype.AsTypeFeatureGenerator",
- "numpy._core.multiarray._reconstruct",
- "autogluon.common.features.feature_metadata.FeatureMetadata",
- "numpy._core.multiarray.scalar",
- "builtins.list",
- "autogluon.features.generators.fillna.FillNaFeatureGenerator",
- "collections.defaultdict",
- "autogluon.core.metrics.rmse_func",
- "autogluon.tabular.learner.default_learner.DefaultLearner",
- "autogluon.core.metrics._PredictScorer",
- "networkx.classes.reportviews.InEdgeView",
- "autogluon.common.features.feature_metadata.FeatureMetadata",
- "autogluon.tabular.models.catboost.catboost_model.CatBoostModel",
- "autogluon.core.models.ensemble.stacker_ensemble_model.StackerEnsembleModel",
- "networkx.classes.reportviews.NodeView",
- "networkx.classes.coreviews.AdjacencyView",
- "builtins.list",
- "collections.defaultdict",
- "autogluon.core.metrics._PredictScorer",
- "autogluon.tabular.trainer.auto_trainer.AutoTrainer",
- "autogluon.tabular.models.tabular_nn.torch.tabular_nn_torch.TabularNeuralNetTorchModel",
- "autogluon.tabular.models.lgb.lgb_model.LGBModel",
- "networkx.classes.digraph.DiGraph",
- "autogluon.core.models.greedy_ensemble.greedy_weighted_ensemble_model.GreedyWeightedEnsembleModel",
- "autogluon.core.metrics.rmse_func",
- "autogluon.core.models.ensemble.weighted_ensemble_model.WeightedEnsembleModel",
- "numpy._core.multiarray.scalar",
- "numpy.dtype",
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- "autogluon.core.models.ensemble.stacker_ensemble_model.StackerEnsembleModel",
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- "numpy._core.multiarray.scalar",
- "autogluon.core.metrics._PredictScorer",
- "autogluon.core.metrics.rmse_func",
- "sklearn.model_selection._split.KFold",
- "autogluon.common.features.feature_metadata.FeatureMetadata",
- "sklearn.model_selection._split.RepeatedKFold",
- "autogluon.core.utils.utils.CVSplitter",
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- "autogluon.tabular.models.catboost.catboost_model.CatBoostModel",
- "autogluon.core.metrics.rmse_func",
- "autogluon.core.metrics._PredictScorer",
- "autogluon.tabular.models.catboost.catboost_model.CatBoostModel",
- "numpy._core.multiarray._reconstruct",
- "numpy.ndarray",
- "numpy.dtype",
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- "autogluon.tabular.models.lgb.lgb_model.LGBModel",
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- "autogluon.tabular.models.catboost.catboost_model.CatBoostModel",
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- "autogluon.core.metrics._PredictScorer",
- "builtins.list",
- "torch.nn.modules.dropout.Dropout",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "autogluon.tabular.models.tabular_nn.torch.torch_network_modules.EmbedNet",
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- "numpy.ndarray",
- "collections.OrderedDict",
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- "sklearn.pipeline.Pipeline",
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- "autogluon.features.generators.label_encoder.LabelEncoderFeatureGenerator",
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- "numpy.dtype",
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- "autogluon.tabular.models.tabular_nn.utils.categorical_encoders.OrdinalMergeRaresHandleUnknownEncoder",
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- "builtins.list",
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- "sklearn.preprocessing._data.StandardScaler",
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- "autogluon.tabular.models.tabular_nn.torch.tabular_nn_torch.TabularNeuralNetTorchModel",
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- "collections.defaultdict",
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- "sklearn.preprocessing._function_transformer.FunctionTransformer",
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- "autogluon.tabular.models.tabular_nn.utils.categorical_encoders.OrdinalMergeRaresHandleUnknownEncoder",
- "autogluon.tabular.models.tabular_nn.torch.tabular_nn_torch.TabularNeuralNetTorchModel",
- "numpy._core.multiarray._reconstruct",
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- "autogluon.tabular.models.lgb.lgb_model.LGBModel",
- "lightgbm.basic.Booster",
- "autogluon.common.features.feature_metadata.FeatureMetadata",
- "collections.OrderedDict",
- "autogluon.core.metrics._PredictScorer",
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xetUpload complete model and embeddings as zip archive