2ab8c1444facbd46df8767a5badda5b9f1a50c29,tests.py,,,#,30
Before Change
training_testing_data["guess"] = most_frequent_class
for column in training_testing_data.columns.values:
if type(column) != str:
training_testing_data.rename(columns={column: str(column).zfill(5)}, inplace=True)
non_feature_columns = ["guess", "class", "group"]
After Change
training_data = np.insert(training_features, 0, training_classes, axis=1) // Insert the classes
training_data = np.insert(training_data, 0, np.zeros((training_data.shape[0],)), axis=1) // Insert the group
testing_data = np.insert(testing_features, 0, np.zeros((testing_features.shape[0],)), axis=1) // Insert the classes
testing_data = np.insert(testing_data, 0, np.ones((testing_data.shape[0],)), axis=1) // Insert the group
// Insert guess
most_frequent_class = Counter(training_classes).most_common(1)[0][0]
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: EpistasisLab/tpot
Commit Name: 2ab8c1444facbd46df8767a5badda5b9f1a50c29
Time: 2016-08-01
Author: supacoofoo@gmail.com
File Name: tests.py
Class Name:
Method Name:
Project Name: rtqichen/torchdiffeq
Commit Name: d041ccdc8112fa0d62ee9ad4ab4cecf0fd8e2cf3
Time: 2020-07-25
Author: 33688385+patrick-kidger@users.noreply.github.com
File Name: torchdiffeq/_impl/interp.py
Class Name:
Method Name: _interp_evaluate
Project Name: EpistasisLab/tpot
Commit Name: 2ab8c1444facbd46df8767a5badda5b9f1a50c29
Time: 2016-08-01
Author: supacoofoo@gmail.com
File Name: tpot/tpot.py
Class Name: TPOT
Method Name: predict