PySpark API Supportability Matrix | BinaryLogisticRegressionTrainingSummary | pyspark2teradataml - BinaryLogisticRegressionTrainingSummary - Teradata Package for Python

Teradata® pyspark2teradataml User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
December 2024
ft:locale
en-US
ft:lastEdition
2024-12-18
dita:mapPath
oeg1710443196055.ditamap
dita:ditavalPath
ayr1485454803741.ditaval
dita:id
oeg1710443196055
Product Category
Teradata Vantage

This function internally uses scikit-learn function LogisticRegression through teradataml Open source ML functions.

LogisticRegressionModel will always return LogisticRegressionTrainingSummary object, irrespective of the number of classes.

Attributes/Methods

Attribute/Method Name Supported Notes
fMeasureByLabel  
weightedFMeasure  
accuracy  
areaUnderROC  
fMeasureByThreshold  
falsePositiveRateByLabel  
featuresCol  
labelCol  
labels  
objectiveHistory  
pr  
precisionByLabel  
precisionByThreshold  
predictionCol  
predictions  
probabilityCol  
recallByLabel  
recallByThreshold  
roc  
scoreCol  
totalIterations  
truePositiveRateByLabel  
weightCol  
weightedFalsePositiveRate  
weightedPrecision  
weightedRecall  
weightedTruePositiveRate