da15160c068d5ffd9ff8fd2fae06a5a3e08cece3,lexos/processors/analyze/information.py,CorpusInformation,__init__,#CorpusInformation#Any#Any#,11

Before Change


        file_anomaly_std_err = {}
        file_anomaly_iqr = {}
        file_sizes = {}
        for i in range(num_file):
            file_sizes.update({l_files[i]: sum(word_lists[i].values())})
        file_sizes_list = list(file_sizes.values())

        // TODO: Correct the way to find standard error
        // 1 standard error analysis

After Change


        file_sizes = np.sum(count_matrix, axis=1)
        // TODO: Correct the way to find standard error
        // 1 standard error analysis
        average_file_size = np.average(file_sizes)
        // Calculate the standard deviation
        std_dev_file_size = np.std(file_sizes)
        // Calculate the anomaly
        for count, label in enumerate(labels):
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 5

Instances


Project Name: WheatonCS/Lexos
Commit Name: da15160c068d5ffd9ff8fd2fae06a5a3e08cece3
Time: 2017-07-26
Author: weltch1997@gmail.com
File Name: lexos/processors/analyze/information.py
Class Name: CorpusInformation
Method Name: __init__


Project Name: tgsmith61591/pmdarima
Commit Name: bc4a5f5d29bb5a74d9cb254ff4dfed916676c8aa
Time: 2019-11-01
Author: tgsmith61591@gmail.com
File Name: examples/model_selection/example_cross_validation.py
Class Name:
Method Name:


Project Name: automl/auto-sklearn
Commit Name: b53c7e1fc510eaa3154c933e549de1580425a144
Time: 2018-12-06
Author: 31531627+ahn1340@users.noreply.github.com
File Name: autosklearn/ensembles/ensemble_selection.py
Class Name: EnsembleSelection
Method Name: predict