39bed742d56249a3e372df96625ccfb48cf450f7,neurokit/eeg/eeg_complexity.py,,eeg_complexity,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,24

Before Change


            complexity[epoch_index][feature] = pd.Series(complexity[epoch_index][feature]).mean()

    if len(data) == 1:
        data = data[0]

    return(complexity)

After Change


            complexity_features[epoch_index][feature] = pd.Series(complexity_features[epoch_index][feature]).mean()

    // Convert to dataframe
    complexity_features = pd.DataFrame.from_dict(complexity_features, orient="index")

    return(complexity_features)
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances


Project Name: neuropsychology/NeuroKit.py
Commit Name: 39bed742d56249a3e372df96625ccfb48cf450f7
Time: 2017-08-16
Author: dom.mak19@gmail.com
File Name: neurokit/eeg/eeg_complexity.py
Class Name:
Method Name: eeg_complexity


Project Name: ClimbsRocks/auto_ml
Commit Name: 16a3cbe8c0b0d801ecc6db4c1a4a43ee09064520
Time: 2017-05-15
Author: ClimbsBytes@gmail.com
File Name: auto_ml/utils_model_training.py
Class Name: FinalModelATC
Method Name: predict_uncertainty


Project Name: scikit-learn-contrib/categorical-encoding
Commit Name: 39811c9f52de2780e5f06e6621f8c2c8a934a9b1
Time: 2016-01-10
Author: will@predikto.com
File Name: encoding_examples.py
Class Name:
Method Name: main