Prashanth9

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BikeRentals

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• "collections.defaultdict",
• "lightgbm.basic.Booster",
• "azureml.automl.runtime.featurization.transformer_and_mapper.TransformerAndMapper",
• "numpy.core.multiarray.scalar",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "azureml.training.tabular.models.forecasting_pipeline_wrapper.RegressionPipeline",
• "azureml.training.tabular.featurization._engineered_feature_names._FeatureTransformersAsJSONObject",
• "collections.OrderedDict",
• "sklearn.impute._base.SimpleImputer",
• "azureml.automl.runtime.featurization.data_transformer.DataTransformer",
• "builtins.getattr",
• "sklearn.preprocessing._data.MaxAbsScaler",
• "azureml.training.tabular.featurization.categorical.labelencoder_transformer.LabelEncoderTransformer",
• "numpy.uint8",
• "sklearn.pipeline.Pipeline",
• "sklearn_pandas.dataframe_mapper.DataFrameMapper",
• "azureml.training.tabular.featurization.text.stringcast_transformer.StringCastTransformer",
• "numpy.ndarray",
• "sklearn.preprocessing._label.LabelEncoder",
• "azureml.training.tabular.featurization._engineered_feature_names._GenerateEngineeredFeatureNames",
• "azureml.training.tabular.models.voting_ensemble.PreFittedSoftVotingRegressor",
• "lightgbm.sklearn.LGBMRegressor",
• "numpy.core.multiarray._reconstruct",
• "sklearn.ensemble._forest.RandomForestRegressor",
• "sklearn.feature_extraction.text.CountVectorizer",
• "azureml.automl.runtime.shared.model_wrappers.LightGBMRegressor",
• "azureml.automl.runtime.shared.problem_info.ProblemInfo",
• "azureml.training.tabular.featurization.categorical.cat_imputer.CatImputer",
• "sklearn.ensemble._voting.VotingRegressor",
• "sklearn.tree._tree.Tree",
• "numpy.dtype",
• "sklearn_pandas.pipeline.TransformerPipeline"

How to fix it?