86e3e8e6f29671a409f6141a47526e933f46219b,tpot/base.py,TPOTBase,fit,#TPOTBase#Any#Any#Any#,371

Before Change

        features = features.astype(np.float64)

        if self._contains_nan(features):
            if self.verbosity > 1:
                print("Imputing missing values in feature set")
            features = Imputer(strategy="most_frequent").fit_transform(features)

        self._check_dataset(features, classes)

After Change

        
        features = features.astype(np.float64)

        if np.any(np.isnan(features)):
            features = self._impute_values(features)

        self._check_dataset(features, classes)

        // Set the seed for the GP run
        if self.random_state is not None:

Instances