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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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Public Member Functions | |
| def | __init__ (self) |
| Method constructor. More... | |
| def | set_precision (self, threshold) |
| Method to set precision measure Not implemented yet. | |
| def | set_h2ometrics (self, perf_metrics) |
| Method to load Clustering metrics from H2OClusteringModelMetrics class. More... | |
| def | set_sparkmetrics (self, model, data) |
| Method to load Regression metrics from Spark RegressionEvaluator class. More... | |
Public Member Functions inherited from gdayf.metrics.metricmetadata.MetricMetadata | |
| def | __init__ (self) |
| Method constructor. More... | |
Definition at line 41 of file clusteringmetricmetadata.py.
| def gdayf.metrics.clusteringmetricmetadata.ClusteringMetricMetadata.__init__ | ( | self | ) |
Method constructor.
| self | object pointer |
Definition at line 45 of file clusteringmetricmetadata.py.
| def gdayf.metrics.clusteringmetricmetadata.ClusteringMetricMetadata.set_h2ometrics | ( | self, | |
| perf_metrics | |||
| ) |
Method to load Clustering metrics from H2OClusteringModelMetrics class.
| self | objetct pointer |
| perf_metrics | H2ORegressionModelMetrics |
Definition at line 60 of file clusteringmetricmetadata.py.
| def gdayf.metrics.clusteringmetricmetadata.ClusteringMetricMetadata.set_sparkmetrics | ( | self, | |
| model, | |||
| data | |||
| ) |
Method to load Regression metrics from Spark RegressionEvaluator class.
| self | objetct pointer |
| model | BisectingKMeans|KMeans instance |
| columns | columns applied to build Cluster |
| data | as Apache Spark DataFrame |
Definition at line 84 of file clusteringmetricmetadata.py.
1.8.13