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fixed README #1

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Merged
merged 1 commit into from
Jan 11, 2019
Merged

fixed README #1

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4 changes: 2 additions & 2 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -46,8 +46,8 @@ X_train, X_test, y_train, y_test = \
sklearn.model_selection.train_test_split(X, y, random_state=1)

# running Auto-PyTorch
autoPyTorch = AutoNetClassification(log_level='info')
autoPyTorch.fit(X_train, y_train)
autoPyTorch = AutoNetClassification(log_level='info', max_runtime=300, min_budget=30, max_budget=90)
autoPyTorch.fit(X_train, y_train, validation_split=0.3)
y_pred = autoPyTorch.predict(X_test)

print("Accuracy score", sklearn.metrics.accuracy_score(y_test, y_pred))
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2 changes: 1 addition & 1 deletion autoPyTorch/core/api.py
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Expand Up @@ -166,7 +166,7 @@ def predict(self, X, return_probabilities=False):

# reverse one hot encoding
OHE = self.pipeline[OneHotEncoding.get_name()]
result = OHE.reverse_transform_y(Y_pred, OHE.fit_output['y_one_hot_encoder']).reshape(1, -1)
result = OHE.reverse_transform_y(Y_pred, OHE.fit_output['y_one_hot_encoder'])
return result if not return_probabilities else (result, Y_pred)

def score(self, X_test, Y_test):
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