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Obtaining datasets using gdown in colab gives access denied error
#9
opened Dec 25, 2022 by
mrgransky
Getting error ValueError: Input X contains NaN. SimpleImputer does not accept missing values encoded as NaN natively. For supervised learning, you might want to consider sklearn.ensemble.HistGradientBoostingClassifier and Regressor which accept missing values encoded as NaNs natively. Alternatively, it is possible to preprocess the data, for instance by using an imputer transformer in a pipeline or drop samples with missing values. See https://scikit-learn.org/stable/modules/impute.html You can find a list of all estimators that handle NaN values at the following page: https://scikit-learn.org/stable/modules/impute.html#estimators-that-handle-nan-values
#4
opened Sep 24, 2022 by
GlamarSK
ProTip!
Updated in the last three days: updated:>2024-05-22.