We are doing a preprocessing step before using Gan. First, we take the tabular dat

ValueError: Input contains NaN, infinity or a value too large for dtype('float64'). about tabular-data-generation HOT 1 CLOSED

omerugi commented on July 26, 2024

ValueError: Input contains NaN, infinity or a value too large for dtype('float64').

from tabular-data-generation.

Comments (1)

Diyago commented on July 26, 2024

I believe they are nan or finite values. Try solutions from here:
https://stackoverflow.com/questions/31323499/sklearn-error-valueerror-input-contains-nan-infinity-or-a-value-too-large-for

or just from them:

import pandas as pd

def clean_dataset(df):
    assert isinstance(df, pd.DataFrame), "df needs to be a pd.DataFrame"
    df.dropna(inplace=True)
    indices_to_keep = ~df.isin([np.nan, np.inf, -np.inf]).any(1)
    return df[indices_to_keep].astype(np.float64)

from tabular-data-generation.

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ValueError: Input contains NaN, infinity or a value too large for dtype('float64'). about tabular-data-generation HOT 1 CLOSED

Comments (1)

Related Issues (20)

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