4cde148de0c37981c50f3a8e4a59fa4e5f653e17,keras/models.py,Sequential,save_weights,#Sequential#Any#Any#,742

Before Change


        else:
            layers = self.layers

        f = h5py.File(filepath, "w")
        topology.save_weights_to_hdf5_group(f, layers)
        f.flush()
        f.close()

    def compile(self, optimizer, loss,
                metrics=None,
                sample_weight_mode=None,

After Change


        else:
            layers = self.layers

        with h5py.File(filepath, "w") as f:
            topology.save_weights_to_hdf5_group(f, layers)
            f.flush()

    def compile(self, optimizer, loss,
                metrics=None,
                sample_weight_mode=None,
                weighted_metrics=None,
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 10

Instances


Project Name: keras-team/keras
Commit Name: 4cde148de0c37981c50f3a8e4a59fa4e5f653e17
Time: 2018-02-04
Author: bohumir.zamecnik@gmail.com
File Name: keras/models.py
Class Name: Sequential
Method Name: save_weights


Project Name: keras-team/keras
Commit Name: d03a41b4262e6aab8ad56cd8395808cacf5921e3
Time: 2017-07-29
Author: inexxt@users.noreply.github.com
File Name: keras/models.py
Class Name:
Method Name: save_model


Project Name: keras-team/keras
Commit Name: 4cde148de0c37981c50f3a8e4a59fa4e5f653e17
Time: 2018-02-04
Author: bohumir.zamecnik@gmail.com
File Name: keras/engine/topology.py
Class Name: Container
Method Name: save_weights