maderix

/

titanic_traink4m62li8-survived-classification

like 0

• "sklearn.pipeline.Pipeline",
• "numpy.core.multiarray.scalar",
• "pandas.core.series.Series",
• "sklearn.impute._base.SimpleImputer",
• "sklearn.preprocessing._encoders.OneHotEncoder",
• "numpy.ndarray",
• "dabl.models.SimpleClassifier",
• "sklearn.metrics._ranking.average_precision_score",
• "sklearn.preprocessing._data.StandardScaler",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "pandas.core.indexes.base.Index",
• "numpy.dtype",
• "pandas.core.frame.DataFrame",
• "dabl.preprocessing.EasyPreprocessor",
• "pandas.core.internals.managers.SingleBlockManager",
• "numpy.float64",
• "pandas.core.dtypes.dtypes.CategoricalDtype",
• "sklearn.naive_bayes.MultinomialNB",
• "builtins.slice",
• "sklearn.preprocessing._data.MinMaxScaler",
• "sklearn.impute._base.MissingIndicator",
• "pandas._libs.internals._unpickle_block",
• "pandas.core.indexes.base._new_Index",
• "numpy.core.multiarray._reconstruct",
• "pandas.core.internals.managers.BlockManager",
• "sklearn.metrics._scorer._ThresholdScorer"

How to fix it?