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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 Binomial metricts as OrderedDict. More...


Public Member Functions | |
| def | __init__ (self) |
| Method constructor. More... | |
| def | set_precision (self, tolerance) |
| Method to set precision measure Not implemented yet. | |
| def | set_metrics (self, perf_metrics) |
| Method to load Binomial metrics from H2OBinomialModelMetrics class. More... | |
Public Member Functions inherited from gdayf.metrics.binomialmetricmetadata.BinomialMetricMetadata | |
| def | __init__ (self) |
| Method constructor. More... | |
| def | set_precision (self, tolerance) |
| 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 Binomial metricts as OrderedDict.
Base Metrics for binomial [AUC, gains_lift_table (as json_dataframe(orient=split)), Gini, mean_per_class_error, logloss, max_criteria_and_metric_scores (as json_dataframe(orient=split)), cm (next)] cm[min_per_class_accuracy, absolute_mcc, precision, accuracy, f0point5, f2, f1] as json_dataframe(orient=split) structure
Definition at line 27 of file h2obinomialmetricmetadata.py.
| def gdayf.handler_metrics.h2obinomialmetricmetadata.H2OBinomialMetricMetadata.__init__ | ( | self | ) |
Method constructor.
| self | object pointer |
Definition at line 30 of file h2obinomialmetricmetadata.py.
| def gdayf.handler_metrics.h2obinomialmetricmetadata.H2OBinomialMetricMetadata.set_metrics | ( | self, | |
| perf_metrics | |||
| ) |
Method to load Binomial metrics from H2OBinomialModelMetrics class.
| self | objetct pointer |
| perf_metrics | H2OBinomialModelMetrics |
Definition at line 41 of file h2obinomialmetricmetadata.py.
1.8.13