| #!/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 sklearn.metrics import accuracy_score |
| 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): |
| |
| y_prediction = self.marvin_model["clf"].predict(self.marvin_dataset["X_test"]) |
| |
| accuracy = accuracy_score(y_prediction, self.marvin_dataset["y_test"]) |
| |
| print(accuracy) |
| |
| self.marvin_metrics = accuracy |
| |
