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"ValueError: Minimum of desired feature range must be smaller than maximum. Got (0.0, 0.0)." after useless 3 hours of training on a very smaller dataset...too slow a, not verbose...and bugged
The text was updated successfully, but these errors were encountered:
ok, seems that issue is only for zero variance features...then MinMaxScaler raises that ValueError;
we need to delete all zero variance features from our dataset(that is ever a good idea):
def remove_constant_value_features(df):
return [e for e in df.columns if df[e].nunique() == 1]
"ValueError: Minimum of desired feature range must be smaller than maximum. Got (0.0, 0.0)." after useless 3 hours of training on a very smaller dataset...too slow a, not verbose...and bugged
The text was updated successfully, but these errors were encountered: