Datasets:

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RationallyPrime

/

residual-modeling-data

Like 0

• "residual_modeling.modeling.text_features.TopicExtractor",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "numpy.ndarray",
• "residual_modeling.modeling.pipeline.ResidualPipeline",
• "sklearn.feature_extraction.text.CountVectorizer",
• "numpy.random._pickle.__bit_generator_ctor",
• "numpy.float64",
• "residual_modeling.modeling.pipeline.LayerResult",
• "residual_modeling.modeling.text_features.TfidfExtractor",
• "numpy.random._pickle.__randomstate_ctor",
• "numpy.random._mt19937.MT19937",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "collections.OrderedDict",
• "numpy._core.multiarray.scalar",
• "lightgbm.sklearn.LGBMRegressor",
• "sklearn.decomposition._pca.PCA",
• "sklearn.decomposition._lda.LatentDirichletAllocation",
• "collections.defaultdict",
• "numpy.int64",
• "lightgbm.basic.Booster",
• "numpy.dtype",
• "numpy._core.multiarray._reconstruct"

How to fix it?