d97188ee62bc0627235578485c5df7d3245fa1ed,example6.py,,,#,48
Before Change
save_checkpoints_steps=2000)
estimator = DNNClassifier(
hidden_units=[512],
feature_columns=[tf.feature_column.numeric_column("feature", shape=(768,))],
n_classes=len(laws),
config=run_config,
After Change
.make_one_shot_iterator().get_next())
with tf.Session() as sess:
while True:
print(sess.run(ds))
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 2
Instances
Project Name: hanxiao/bert-as-service
Commit Name: d97188ee62bc0627235578485c5df7d3245fa1ed
Time: 2018-12-02
Author: hanhxiao@tencent.com
File Name: example6.py
Class Name:
Method Name:
Project Name: NifTK/NiftyNet
Commit Name: f0ac6351b5ee28846121158b7f0cd34a109bef9a
Time: 2017-07-22
Author: wenqi.li@ucl.ac.uk
File Name: niftynet/utilities/misc_io.py
Class Name:
Method Name: match_volume_shape_to_patch_definition
Project Name: NifTK/NiftyNet
Commit Name: ddfa2edb2ca1fd28d23bee609565353d543ec722
Time: 2019-06-04
Author: carole.sudre@kcl.ac.uk
File Name: niftynet/engine/windows_aggregator_resize.py
Class Name: ResizeSamplesAggregator
Method Name: decode_batch