10000
We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
TargetEncoder
1 parent 687465f commit 5ecfa8dCopy full SHA for 5ecfa8d
sklearn/preprocessing/_target_encoder.py
@@ -273,14 +273,14 @@ def transform(self, X):
273
X_trans : ndarray of shape (n_samples, n_features)
274
Transformed input.
275
"""
276
- X_ordinal, X_valid = self._transform(
+ X_ordinal, X_known_mask = self._transform(
277
X, handle_unknown="ignore", force_all_finite="allow-nan"
278
)
279
X_out = np.empty_like(X_ordinal, dtype=np.float64)
280
self._transform_X_ordinal(
281
X_out,
282
X_ordinal,
283
- ~X_valid,
+ ~X_known_mask,
284
slice(None),
285
self.encodings_,
286
self.target_mean_,
0 commit comments