2ab8c1444facbd46df8767a5badda5b9f1a50c29,tests.py,,,#,30

Before Change


training_data["class"] = training_classes
training_data["group"] = "training"

testing_data = pd.DataFrame(testing_features)
testing_data["class"] = 0
testing_data["group"] = "testing"

training_testing_data = pd.concat([training_data, testing_data])

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]
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

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: EpistasisLab/tpot
Commit Name: 2ab8c1444facbd46df8767a5badda5b9f1a50c29
Time: 2016-08-01
Author: supacoofoo@gmail.com
File Name: tpot/tpot.py
Class Name: TPOT
Method Name: predict


Project Name: theislab/scanpy
Commit Name: 3f229ddaf81e7aa2bf6b5cc21785c4bdc5e33618
Time: 2019-06-23
Author: ivirshup@gmail.com
File Name: scanpy/tests/test_utils.py
Class Name:
Method Name: test_obs_values