Arguments
This function internally uses scikit-learn function LogisticRegression through teradataml Open source ML functions.
Transformed data won’t have features, rawPrediction, probability columns.
| PySpark Argument Name | Open Source Function Argument Name | Notes |
|---|---|---|
| maxIter | max_iter | |
| regParam | C | Default value is 1.0. |
| tol | tol | |
| fitIntercept | fit_intercept | |
| threshold | Not yet available | |
| thresholds | Not yet available | |
| probabilityCol | Not yet available | |
| rawPredictionCol | Not yet available | |
| standardization | Not yet available | |
| weightCol | class_weight | |
| aggregationDepth | Not yet available | |
| family | Not yet available | |
| lowerBoundsOnCoefficients | Not yet available | |
| upperBoundsOnCoefficients | Not yet available | |
| lowerBoundsOnIntercepts | Not yet available | |
| upperBoundsOnIntercepts | Not yet available | |
| maxBlockSizeInMB | Not yet available |
Attributes/Methods
| Attribute/Method Name | Supported | Notes |
|---|---|---|
| clear | ||
| copy | ||
| explainParam | ||
| explainParams | ||
| extractParamMap | ||
| fit | ||
| fitMultiple | ||
| getAggregationDepth | ||
| getElasticNetParam | ||
| getFamily | ||
| getFeaturesCol | ||
| getFitIntercept | ||
| getLabelCol | ||
| getLowerBoundsOnCoefficients | ||
| getLowerBoundsOnIntercepts | ||
| getMaxBlockSizeInMB | ||
| getMaxIter | ||
| getOrDefault | ||
| getParam | ||
| getPredictionCol | ||
| get ProbabilityCol | ||
| getRawPredictionCol | ||
| getRegParam | ||
| getStandardization | ||
| getThresholds | ||
| getTol | ||
| getUpperBoundsOnCoefficients | ||
| getUpperBoundsOnIntercepts | ||
| getWeightCol | ||
| hasDefault | ||
| hasParam | ||
| isDefined | ||
| isSet | ||
| load | ||
| read | ||
| save | ||
| set | ||
| setAggregationDepth | ||
| setElasticNetParam | ||
| setFamily | ||
| setFeaturesCol | ||
| setFitIntercept | ||
| setLabelCol | ||
| setLowerBoundsOnCoefficients | ||
| setLowerBoundsOnIntercepts | ||
| setMaxBlockSizeInMB | ||
| setMaxIter | ||
| setParams | ||
| setPredictionCol | ||
| setProbabilityCol | ||
| setRawPredictionCol | ||
| setRegParam | ||
| setStandardization | ||
| setThreshold | ||
| setThresholds | ||
| setTol | ||
| setUpperBoundsOnCoefficients | ||
| setUpperBoundsOnIntercepts | ||
| setWeightCol | ||
| write | ||
| aggregationDepth | ||
| featureCol | ||
| labelCol | ||
| predictionCol | ||
| maxIter | ||
| regParam | ||
| tol | ||
| fitIntercept | ||
| threshold | ||
| thresholds | ||
| probabilityCol | ||
| rawPredictionCol | ||
| standardization | ||
| threshold | ||
| weightCol | ||
| aggregationDepth | ||
| family | ||
| upperBoundsOnCoefficients | ||
| upperBoundsOnIntercepts | ||
| maxBlockSizeInMB | ||
| elasticNetParam | ||
| params | ||
| lowerBoundsOnCoefficients | ||
| lowerBoundsOnIntercepts |