def score(self, X, y):
# fix: Consider only index 1 of second dimension
# Don't know if the reshaping should be done there or in calculate_score
prediction = self.predict_proba(X)
return calculate_score(y, prediction, self._task,
self._metric, self._label_num,
logger=self._logger)
def score(self, X, y):
# fix: Consider only index 1 of second dimension
# Don't know if the reshaping should be done there or in calculate_score
prediction = self.predict(X)
if self._task == BINARY_CLASSIFICATION:
prediction = prediction[:, 1].reshape((-1, 1))
return calculate_score(y, prediction, self._task,
self._metric, self._label_num,
logger=self._logger)
def score(self, X, y):
# fix: Consider only index 1 of second dimension
# Don't know if the reshaping should be done there or in calculate_score
prediction = self.predict(X)
if self._task == BINARY_CLASSIFICATION:
prediction = prediction[:, 1].reshape((-1, 1))
return calculate_score(y,
prediction,
self._task,
self._metric,
self._label_num,
logger=self._logger)
def score(self, X, y):
prediction = self.predict(X)
return calculate_score(y, prediction, self._task,
self._metric, self._label_num)
