Arguments
This function internally uses scikit-learn function IsotonicRegression through teradataml Open source ML functions.
It only supports a single column as featuresCol for fit.
Transformed data won’t have features column.
| PySpark Argument Name | Open Source Function Argument Name | Notes |
|---|---|---|
| predictionCol | Not yet available. | |
| weightCol | Not yet available. | |
| isotonic | increasing | |
| featureIndex | Not yet available. |
Attributes/Methods
| Attribute/Method Name | Supported | Notes |
|---|---|---|
| clear | ||
| copy | ||
| explainParam | ||
| explainParams | ||
| extractParamMap | ||
| fit | It only supports single column as featuresCol. | |
| fitMultiple | ||
| getFeatureIndex | ||
| getFeaturesCol | ||
| getIsotonic | ||
| getLabelCol | ||
| getOrDefault | ||
| getParam | ||
| getPredictionCol | ||
| hasDefault | ||
| hasParam | ||
| isDefined | ||
| isSet | ||
| load | ||
| read | ||
| save | ||
| set | ||
| setFeatureIndex | ||
| setFeaturesCol | ||
| setIsotonic | ||
| setLabelCol | ||
| setParams | ||
| setPredictionCol | ||
| setWeightCol | ||
| write | ||
| featureIndex | ||
| featuresCol | ||
| isotonic | ||
| labelCol | ||
| params | ||
| weightCol |