ReportDeco
- class lightautoml.report.report_deco.ReportDeco(*args, **kwargs)[source]
Bases:
object
Decorator to wrap
AutoML
class to generate html report onfit_predict
andpredict
.Example
>>> report_automl = ReportDeco(output_path="output_path", report_file_name="report_file_name")(automl). >>> report_automl.fit_predict(train_data) >>> report_automl.predict(test_data)
Report will be generated at output_path/report_file_name automatically.
Warning
Do not use it just to inference (if you don”t need report), because:
It needs target variable to calc performance metrics.
It takes additional time to generate report.
Dump of decorated automl takes more memory to store.
To get unwrapped fitted instance to pickle and inferecne access
report_automl.model
attribute.- property model
Get unwrapped model.
- Returns:
model.
- __init__(*args, **kwargs)[source]
Note
Valid kwargs are:
output_path: Folder with report files.
report_file_name: Name of main report file.
- Parameters:
*args – Arguments.
**kwargs – Additional parameters.