site/docs/4.0.0-preview1/api/python/_sources/reference/api/pyspark.ml.classification.LogisticRegressionModel.rst.txt

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LogisticRegressionModel
=================================================

.. currentmodule:: pyspark.ml.classification

.. autoclass:: LogisticRegressionModel

    
      
    

    
    

    .. rubric:: Methods

    .. autosummary::
    
       ~LogisticRegressionModel.clear
       ~LogisticRegressionModel.copy
       ~LogisticRegressionModel.evaluate
       ~LogisticRegressionModel.explainParam
       ~LogisticRegressionModel.explainParams
       ~LogisticRegressionModel.extractParamMap
       ~LogisticRegressionModel.getAggregationDepth
       ~LogisticRegressionModel.getElasticNetParam
       ~LogisticRegressionModel.getFamily
       ~LogisticRegressionModel.getFeaturesCol
       ~LogisticRegressionModel.getFitIntercept
       ~LogisticRegressionModel.getLabelCol
       ~LogisticRegressionModel.getLowerBoundsOnCoefficients
       ~LogisticRegressionModel.getLowerBoundsOnIntercepts
       ~LogisticRegressionModel.getMaxBlockSizeInMB
       ~LogisticRegressionModel.getMaxIter
       ~LogisticRegressionModel.getOrDefault
       ~LogisticRegressionModel.getParam
       ~LogisticRegressionModel.getPredictionCol
       ~LogisticRegressionModel.getProbabilityCol
       ~LogisticRegressionModel.getRawPredictionCol
       ~LogisticRegressionModel.getRegParam
       ~LogisticRegressionModel.getStandardization
       ~LogisticRegressionModel.getThreshold
       ~LogisticRegressionModel.getThresholds
       ~LogisticRegressionModel.getTol
       ~LogisticRegressionModel.getUpperBoundsOnCoefficients
       ~LogisticRegressionModel.getUpperBoundsOnIntercepts
       ~LogisticRegressionModel.getWeightCol
       ~LogisticRegressionModel.hasDefault
       ~LogisticRegressionModel.hasParam
       ~LogisticRegressionModel.isDefined
       ~LogisticRegressionModel.isSet
       ~LogisticRegressionModel.load
       ~LogisticRegressionModel.predict
       ~LogisticRegressionModel.predictProbability
       ~LogisticRegressionModel.predictRaw
       ~LogisticRegressionModel.read
       ~LogisticRegressionModel.save
       ~LogisticRegressionModel.set
       ~LogisticRegressionModel.setFeaturesCol
       ~LogisticRegressionModel.setPredictionCol
       ~LogisticRegressionModel.setProbabilityCol
       ~LogisticRegressionModel.setRawPredictionCol
       ~LogisticRegressionModel.setThreshold
       ~LogisticRegressionModel.setThresholds
       ~LogisticRegressionModel.transform
       ~LogisticRegressionModel.write

    
    

    
    

    .. rubric:: Attributes

    .. autosummary::
    
        
           ~LogisticRegressionModel.aggregationDepth
        
        
           ~LogisticRegressionModel.coefficientMatrix
        
        
           ~LogisticRegressionModel.coefficients
        
        
           ~LogisticRegressionModel.elasticNetParam
        
        
           ~LogisticRegressionModel.family
        
        
           ~LogisticRegressionModel.featuresCol
        
        
           ~LogisticRegressionModel.fitIntercept
        
        
           ~LogisticRegressionModel.hasSummary
        
        
           ~LogisticRegressionModel.intercept
        
        
           ~LogisticRegressionModel.interceptVector
        
        
           ~LogisticRegressionModel.labelCol
        
        
           ~LogisticRegressionModel.lowerBoundsOnCoefficients
        
        
           ~LogisticRegressionModel.lowerBoundsOnIntercepts
        
        
           ~LogisticRegressionModel.maxBlockSizeInMB
        
        
           ~LogisticRegressionModel.maxIter
        
        
           ~LogisticRegressionModel.numClasses
        
        
           ~LogisticRegressionModel.numFeatures
        
        
           ~LogisticRegressionModel.params
        
        
           ~LogisticRegressionModel.predictionCol
        
        
           ~LogisticRegressionModel.probabilityCol
        
        
           ~LogisticRegressionModel.rawPredictionCol
        
        
           ~LogisticRegressionModel.regParam
        
        
           ~LogisticRegressionModel.standardization
        
        
           ~LogisticRegressionModel.summary
        
        
           ~LogisticRegressionModel.threshold
        
        
           ~LogisticRegressionModel.thresholds
        
        
           ~LogisticRegressionModel.tol
        
        
           ~LogisticRegressionModel.upperBoundsOnCoefficients
        
        
           ~LogisticRegressionModel.upperBoundsOnIntercepts
        
        
           ~LogisticRegressionModel.weightCol
        
        

    
    

    
    

    .. rubric:: Methods Documentation

    
    .. automethod:: clear
    .. automethod:: copy
    .. automethod:: evaluate
    .. automethod:: explainParam
    .. automethod:: explainParams
    .. automethod:: extractParamMap
    .. automethod:: getAggregationDepth
    .. automethod:: getElasticNetParam
    .. automethod:: getFamily
    .. automethod:: getFeaturesCol
    .. automethod:: getFitIntercept
    .. automethod:: getLabelCol
    .. automethod:: getLowerBoundsOnCoefficients
    .. automethod:: getLowerBoundsOnIntercepts
    .. automethod:: getMaxBlockSizeInMB
    .. automethod:: getMaxIter
    .. automethod:: getOrDefault
    .. automethod:: getParam
    .. automethod:: getPredictionCol
    .. automethod:: getProbabilityCol
    .. automethod:: getRawPredictionCol
    .. automethod:: getRegParam
    .. automethod:: getStandardization
    .. automethod:: getThreshold
    .. automethod:: getThresholds
    .. automethod:: getTol
    .. automethod:: getUpperBoundsOnCoefficients
    .. automethod:: getUpperBoundsOnIntercepts
    .. automethod:: getWeightCol
    .. automethod:: hasDefault
    .. automethod:: hasParam
    .. automethod:: isDefined
    .. automethod:: isSet
    .. automethod:: load
    .. automethod:: predict
    .. automethod:: predictProbability
    .. automethod:: predictRaw
    .. automethod:: read
    .. automethod:: save
    .. automethod:: set
    .. automethod:: setFeaturesCol
    .. automethod:: setPredictionCol
    .. automethod:: setProbabilityCol
    .. automethod:: setRawPredictionCol
    .. automethod:: setThreshold
    .. automethod:: setThresholds
    .. automethod:: transform
    .. automethod:: write

    
    

    
    

    .. rubric:: Attributes Documentation

    
    .. autoattribute:: aggregationDepth
    .. autoattribute:: coefficientMatrix
    .. autoattribute:: coefficients
    .. autoattribute:: elasticNetParam
    .. autoattribute:: family
    .. autoattribute:: featuresCol
    .. autoattribute:: fitIntercept
    .. autoattribute:: hasSummary
    .. autoattribute:: intercept
    .. autoattribute:: interceptVector
    .. autoattribute:: labelCol
    .. autoattribute:: lowerBoundsOnCoefficients
    .. autoattribute:: lowerBoundsOnIntercepts
    .. autoattribute:: maxBlockSizeInMB
    .. autoattribute:: maxIter
    .. autoattribute:: numClasses
    .. autoattribute:: numFeatures
    .. autoattribute:: params
    .. autoattribute:: predictionCol
    .. autoattribute:: probabilityCol
    .. autoattribute:: rawPredictionCol
    .. autoattribute:: regParam
    .. autoattribute:: standardization
    .. autoattribute:: summary
    .. autoattribute:: threshold
    .. autoattribute:: thresholds
    .. autoattribute:: tol
    .. autoattribute:: upperBoundsOnCoefficients
    .. autoattribute:: upperBoundsOnIntercepts
    .. autoattribute:: weightCol
    .. autoattribute:: uid