python-toolbox/marvin_python_toolbox/management/templates/python-engine/project_package/training/metrics_evaluator.py

#!/usr/bin/env python
# coding=utf-8

"""MetricsEvaluator engine action.

Use this module to add the project main code.
"""

from .._compatibility import six
from .._logging import get_logger

from marvin_python_toolbox.engine_base import EngineBaseTraining

__all__ = ['MetricsEvaluator']


logger = get_logger('metrics_evaluator')


class MetricsEvaluator(EngineBaseTraining):

    def __init__(self, **kwargs):
        super(MetricsEvaluator, self).__init__(**kwargs)

    def execute(self, params, **kwargs):
        """
        Setup the metrics with the result of the algorithms used to test the model.
        Use the self.dataset and self.model prepared in the last actions.

        Eg.

            self.marvin_metrics = {...}
        """
        self.marvin_metrics = {}