b1bfd16945a658d02847209e46a2ba8d72b456e1,autokeras/auto/auto_model.py,GraphAutoModel,predict,#GraphAutoModel#Any#,192
Before Change
def predict(self, x, **kwargs):
Predict the output for a given testing data.
return self.tuner.get_best_models(1)[0].predict(x, **kwargs)
def _get_metrics(self):
metrics = []
for metrics_list in [output_node.in_hypermodels[0].metrics for
After Change
def predict(self, x, **kwargs):
Predict the output for a given testing data.
x = self.preprocess(self.tuner.get_best_models(1), x)
y = self.tuner.get_best_models(1)[0].predict(x, **kwargs)
y = layer_utils.format_inputs(y, self.name)
y = self._postprocess(y)
if len(y) == 1:
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances Project Name: keras-team/autokeras
Commit Name: b1bfd16945a658d02847209e46a2ba8d72b456e1
Time: 2019-07-01
Author: jhfjhfj1@gmail.com
File Name: autokeras/auto/auto_model.py
Class Name: GraphAutoModel
Method Name: predict
Project Name: pytorch/text
Commit Name: eb0d24b0b118565c6cf528b8bbf3fb16012df4d6
Time: 2019-07-24
Author: jahojiang@gmail.com
File Name: torchtext/data/example.py
Class Name: Example
Method Name: fromJSON