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 |