..  Licensed to the Apache Software Foundation (ASF) under one
    or more contributor license agreements.  See the NOTICE file
    distributed with this work for additional information
    regarding copyright ownership.  The ASF licenses this file
    to you under the Apache License, Version 2.0 (the
    "License"); you may not use this file except in compliance
    with the License.  You may obtain a copy of the License at

..    http://www.apache.org/licenses/LICENSE-2.0

..  Unless required by applicable law or agreed to in writing,
    software distributed under the License is distributed on an
    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
    KIND, either express or implied.  See the License for the
    specific language governing permissions and limitations
    under the License.


MultilayerPerceptronClassificationModel
=================================================================

.. currentmodule:: pyspark.ml.classification

.. autoclass:: MultilayerPerceptronClassificationModel

    
      
    

    
    

    .. rubric:: Methods

    .. autosummary::
    
       ~MultilayerPerceptronClassificationModel.clear
       ~MultilayerPerceptronClassificationModel.copy
       ~MultilayerPerceptronClassificationModel.evaluate
       ~MultilayerPerceptronClassificationModel.explainParam
       ~MultilayerPerceptronClassificationModel.explainParams
       ~MultilayerPerceptronClassificationModel.extractParamMap
       ~MultilayerPerceptronClassificationModel.getBlockSize
       ~MultilayerPerceptronClassificationModel.getFeaturesCol
       ~MultilayerPerceptronClassificationModel.getInitialWeights
       ~MultilayerPerceptronClassificationModel.getLabelCol
       ~MultilayerPerceptronClassificationModel.getLayers
       ~MultilayerPerceptronClassificationModel.getMaxIter
       ~MultilayerPerceptronClassificationModel.getOrDefault
       ~MultilayerPerceptronClassificationModel.getParam
       ~MultilayerPerceptronClassificationModel.getPredictionCol
       ~MultilayerPerceptronClassificationModel.getProbabilityCol
       ~MultilayerPerceptronClassificationModel.getRawPredictionCol
       ~MultilayerPerceptronClassificationModel.getSeed
       ~MultilayerPerceptronClassificationModel.getSolver
       ~MultilayerPerceptronClassificationModel.getStepSize
       ~MultilayerPerceptronClassificationModel.getThresholds
       ~MultilayerPerceptronClassificationModel.getTol
       ~MultilayerPerceptronClassificationModel.hasDefault
       ~MultilayerPerceptronClassificationModel.hasParam
       ~MultilayerPerceptronClassificationModel.isDefined
       ~MultilayerPerceptronClassificationModel.isSet
       ~MultilayerPerceptronClassificationModel.load
       ~MultilayerPerceptronClassificationModel.predict
       ~MultilayerPerceptronClassificationModel.predictProbability
       ~MultilayerPerceptronClassificationModel.predictRaw
       ~MultilayerPerceptronClassificationModel.read
       ~MultilayerPerceptronClassificationModel.save
       ~MultilayerPerceptronClassificationModel.set
       ~MultilayerPerceptronClassificationModel.setFeaturesCol
       ~MultilayerPerceptronClassificationModel.setPredictionCol
       ~MultilayerPerceptronClassificationModel.setProbabilityCol
       ~MultilayerPerceptronClassificationModel.setRawPredictionCol
       ~MultilayerPerceptronClassificationModel.setThresholds
       ~MultilayerPerceptronClassificationModel.summary
       ~MultilayerPerceptronClassificationModel.transform
       ~MultilayerPerceptronClassificationModel.write

    
    

    
    

    .. rubric:: Attributes

    .. autosummary::
    
        
           ~MultilayerPerceptronClassificationModel.blockSize
        
        
           ~MultilayerPerceptronClassificationModel.featuresCol
        
        
           ~MultilayerPerceptronClassificationModel.hasSummary
        
        
           ~MultilayerPerceptronClassificationModel.initialWeights
        
        
           ~MultilayerPerceptronClassificationModel.labelCol
        
        
           ~MultilayerPerceptronClassificationModel.layers
        
        
           ~MultilayerPerceptronClassificationModel.maxIter
        
        
           ~MultilayerPerceptronClassificationModel.numClasses
        
        
           ~MultilayerPerceptronClassificationModel.numFeatures
        
        
           ~MultilayerPerceptronClassificationModel.params
        
        
           ~MultilayerPerceptronClassificationModel.predictionCol
        
        
           ~MultilayerPerceptronClassificationModel.probabilityCol
        
        
           ~MultilayerPerceptronClassificationModel.rawPredictionCol
        
        
           ~MultilayerPerceptronClassificationModel.seed
        
        
           ~MultilayerPerceptronClassificationModel.solver
        
        
           ~MultilayerPerceptronClassificationModel.stepSize
        
        
           ~MultilayerPerceptronClassificationModel.thresholds
        
        
           ~MultilayerPerceptronClassificationModel.tol
        
        
           ~MultilayerPerceptronClassificationModel.weights
        
        

    
    

    
    

    .. rubric:: Methods Documentation

    
    .. automethod:: clear
    .. automethod:: copy
    .. automethod:: evaluate
    .. automethod:: explainParam
    .. automethod:: explainParams
    .. automethod:: extractParamMap
    .. automethod:: getBlockSize
    .. automethod:: getFeaturesCol
    .. automethod:: getInitialWeights
    .. automethod:: getLabelCol
    .. automethod:: getLayers
    .. automethod:: getMaxIter
    .. automethod:: getOrDefault
    .. automethod:: getParam
    .. automethod:: getPredictionCol
    .. automethod:: getProbabilityCol
    .. automethod:: getRawPredictionCol
    .. automethod:: getSeed
    .. automethod:: getSolver
    .. automethod:: getStepSize
    .. automethod:: getThresholds
    .. automethod:: getTol
    .. 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:: setThresholds
    .. automethod:: summary
    .. automethod:: transform
    .. automethod:: write

    
    

    
    

    .. rubric:: Attributes Documentation

    
    .. autoattribute:: blockSize
    .. autoattribute:: featuresCol
    .. autoattribute:: hasSummary
    .. autoattribute:: initialWeights
    .. autoattribute:: labelCol
    .. autoattribute:: layers
    .. autoattribute:: maxIter
    .. autoattribute:: numClasses
    .. autoattribute:: numFeatures
    .. autoattribute:: params
    .. autoattribute:: predictionCol
    .. autoattribute:: probabilityCol
    .. autoattribute:: rawPredictionCol
    .. autoattribute:: seed
    .. autoattribute:: solver
    .. autoattribute:: stepSize
    .. autoattribute:: thresholds
    .. autoattribute:: tol
    .. autoattribute:: weights
    .. autoattribute:: uid