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DayF core
1.2.1.2
DayF (Decision at your Fingertips) is an AutoML freeware development framework that let developers works with Machine Learning models without any idea of AI, simply taking a csv dataset and the objective column
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Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]. More...


Public Member Functions | |
| def | __init__ (self) |
| Method constructor. More... | |
| def | set_metrics (self, evaluator, data, objective_column=None) |
| Method to load Regression metrics from Spark RegressionEvaluator class. More... | |
Public Member Functions inherited from gdayf.metrics.regressionmetricmetadata.RegressionMetricMetadata | |
| def | __init__ (self) |
| Method constructor. More... | |
| def | set_precision (self, threshold) |
| Method to set precision measure Not implemented yet. | |
Public Member Functions inherited from gdayf.metrics.metricmetadata.MetricMetadata | |
| def | __init__ (self) |
| Method constructor. More... | |
Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics].
Definition at line 23 of file sparkregressionmetricmetadata.py.
| def gdayf.handler_metrics.sparkregressionmetricmetadata.SparkRegressionMetricMetadata.__init__ | ( | self | ) |
Method constructor.
| self | object pointer |
Definition at line 27 of file sparkregressionmetricmetadata.py.
| def gdayf.handler_metrics.sparkregressionmetricmetadata.SparkRegressionMetricMetadata.set_metrics | ( | self, | |
| evaluator, | |||
| data, | |||
objective_column = None |
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| ) |
Method to load Regression metrics from Spark RegressionEvaluator class.
| self | objetct pointer |
| evaluator | RegressionEvaluator instance |
| objective_column | string |
| data | as Apache Spark DataFrame |
Definition at line 35 of file sparkregressionmetricmetadata.py.
1.8.13