elliptic_toolkit.log_parser module

elliptic_toolkit.log_parser.trim_hyperparameter_results(df)

Return a DataFrame with only columns that have more than one unique value.

elliptic_toolkit.log_parser.parse_search_cv_logs(file_path, trim=True)

Parse the hyperparameter search results. If trim is True, only return columns with more than one unique value.

Parameters:

• file_path (str) – Path to the log file.

• trim (bool, default=True) – Whether to trim the DataFrame to only columns with more than one unique value.

Returns:

res – DataFrame with hyperparameter results.

Return type:

pandas.DataFrame

Notes

Assumes each relevant line in the log file contains ‘END’, cv number as [CV x/y] and hyperparameters in the format param=value.

Specific example line:

[CV 1/5] END accuracy=0.95, learning_rate=0.01, num_layers=3,; acc=0.95, total time=3min

The specific regex patterns can be adjusted in the regex_map dictionary.