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PeterG3

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Runtime error

• "numpy.core.multiarray.scalar",
• "azureml.training.tabular.featurization.text.stringcast_transformer.StringCastTransformer",
• "azureml.automl.runtime.featurization.data_transformer.DataTransformer",
• "numpy.dtype",
• "sklearn_pandas.pipeline.TransformerPipeline",
• "numpy.ndarray",
• "azureml.automl.runtime.shared.model_wrappers.StandardScalerWrapper",
• "azureml.training.tabular.featurization._engineered_feature_names._FeatureTransformersAsJSONObject",
• "sklearn.ensemble._voting.VotingRegressor",
• "azureml.training.tabular.models.forecasting_pipeline_wrapper.RegressionPipeline",
• "sklearn_pandas.dataframe_mapper.DataFrameMapper",
• "sklearn.preprocessing._label.LabelEncoder",
• "azureml.training.tabular.featurization._engineered_feature_names._GenerateEngineeredFeatureNames",
• "sklearn.impute._base.SimpleImputer",
• "sklearn.preprocessing._data.StandardScaler",
• "azureml.training.tabular.featurization.categorical.cat_imputer.CatImputer",
• "azureml.training.tabular.featurization.categorical.labelencoder_transformer.LabelEncoderTransformer",
• "numpy.core.multiarray._reconstruct",
• "sklearn.tree._classes.ExtraTreeRegressor",
• "azureml.automl.runtime.featurization.transformer_and_mapper.TransformerAndMapper",
• "sklearn.linear_model._coordinate_descent.ElasticNet",
• "sklearn.pipeline.Pipeline",
• "sklearn.tree._tree.Tree",
• "azureml.training.tabular.featurization.categorical.hashonehotvectorizer_transformer.HashOneHotVectorizerTransformer",
• "sklearn.preprocessing._data.MaxAbsScaler",
• "sklearn.ensemble._forest.ExtraTreesRegressor",
• "azureml.training.tabular.models.voting_ensemble.PreFittedSoftVotingRegressor"

How to fix it?