| .. 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. |
| |
| |
| GeneralizedLinearRegressionModel |
| ====================================================== |
| |
| .. currentmodule:: pyspark.ml.regression |
| |
| .. autoclass:: GeneralizedLinearRegressionModel |
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| .. rubric:: Methods |
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| .. autosummary:: |
| |
| ~GeneralizedLinearRegressionModel.clear |
| ~GeneralizedLinearRegressionModel.copy |
| ~GeneralizedLinearRegressionModel.evaluate |
| ~GeneralizedLinearRegressionModel.explainParam |
| ~GeneralizedLinearRegressionModel.explainParams |
| ~GeneralizedLinearRegressionModel.extractParamMap |
| ~GeneralizedLinearRegressionModel.getAggregationDepth |
| ~GeneralizedLinearRegressionModel.getFamily |
| ~GeneralizedLinearRegressionModel.getFeaturesCol |
| ~GeneralizedLinearRegressionModel.getFitIntercept |
| ~GeneralizedLinearRegressionModel.getLabelCol |
| ~GeneralizedLinearRegressionModel.getLink |
| ~GeneralizedLinearRegressionModel.getLinkPower |
| ~GeneralizedLinearRegressionModel.getLinkPredictionCol |
| ~GeneralizedLinearRegressionModel.getMaxIter |
| ~GeneralizedLinearRegressionModel.getOffsetCol |
| ~GeneralizedLinearRegressionModel.getOrDefault |
| ~GeneralizedLinearRegressionModel.getParam |
| ~GeneralizedLinearRegressionModel.getPredictionCol |
| ~GeneralizedLinearRegressionModel.getRegParam |
| ~GeneralizedLinearRegressionModel.getSolver |
| ~GeneralizedLinearRegressionModel.getTol |
| ~GeneralizedLinearRegressionModel.getVariancePower |
| ~GeneralizedLinearRegressionModel.getWeightCol |
| ~GeneralizedLinearRegressionModel.hasDefault |
| ~GeneralizedLinearRegressionModel.hasParam |
| ~GeneralizedLinearRegressionModel.isDefined |
| ~GeneralizedLinearRegressionModel.isSet |
| ~GeneralizedLinearRegressionModel.load |
| ~GeneralizedLinearRegressionModel.predict |
| ~GeneralizedLinearRegressionModel.read |
| ~GeneralizedLinearRegressionModel.save |
| ~GeneralizedLinearRegressionModel.set |
| ~GeneralizedLinearRegressionModel.setFeaturesCol |
| ~GeneralizedLinearRegressionModel.setLinkPredictionCol |
| ~GeneralizedLinearRegressionModel.setPredictionCol |
| ~GeneralizedLinearRegressionModel.transform |
| ~GeneralizedLinearRegressionModel.write |
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| .. rubric:: Attributes |
| |
| .. autosummary:: |
| |
| ~GeneralizedLinearRegressionModel.aggregationDepth |
| ~GeneralizedLinearRegressionModel.coefficients |
| ~GeneralizedLinearRegressionModel.family |
| ~GeneralizedLinearRegressionModel.featuresCol |
| ~GeneralizedLinearRegressionModel.fitIntercept |
| ~GeneralizedLinearRegressionModel.hasSummary |
| ~GeneralizedLinearRegressionModel.intercept |
| ~GeneralizedLinearRegressionModel.labelCol |
| ~GeneralizedLinearRegressionModel.link |
| ~GeneralizedLinearRegressionModel.linkPower |
| ~GeneralizedLinearRegressionModel.linkPredictionCol |
| ~GeneralizedLinearRegressionModel.maxIter |
| ~GeneralizedLinearRegressionModel.numFeatures |
| ~GeneralizedLinearRegressionModel.offsetCol |
| ~GeneralizedLinearRegressionModel.params |
| ~GeneralizedLinearRegressionModel.predictionCol |
| ~GeneralizedLinearRegressionModel.regParam |
| ~GeneralizedLinearRegressionModel.solver |
| ~GeneralizedLinearRegressionModel.summary |
| ~GeneralizedLinearRegressionModel.tol |
| ~GeneralizedLinearRegressionModel.variancePower |
| ~GeneralizedLinearRegressionModel.weightCol |
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| .. rubric:: Methods Documentation |
| |
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| .. automethod:: clear |
| .. automethod:: copy |
| .. automethod:: evaluate |
| .. automethod:: explainParam |
| .. automethod:: explainParams |
| .. automethod:: extractParamMap |
| .. automethod:: getAggregationDepth |
| .. automethod:: getFamily |
| .. automethod:: getFeaturesCol |
| .. automethod:: getFitIntercept |
| .. automethod:: getLabelCol |
| .. automethod:: getLink |
| .. automethod:: getLinkPower |
| .. automethod:: getLinkPredictionCol |
| .. automethod:: getMaxIter |
| .. automethod:: getOffsetCol |
| .. automethod:: getOrDefault |
| .. automethod:: getParam |
| .. automethod:: getPredictionCol |
| .. automethod:: getRegParam |
| .. automethod:: getSolver |
| .. automethod:: getTol |
| .. automethod:: getVariancePower |
| .. automethod:: getWeightCol |
| .. automethod:: hasDefault |
| .. automethod:: hasParam |
| .. automethod:: isDefined |
| .. automethod:: isSet |
| .. automethod:: load |
| .. automethod:: predict |
| .. automethod:: read |
| .. automethod:: save |
| .. automethod:: set |
| .. automethod:: setFeaturesCol |
| .. automethod:: setLinkPredictionCol |
| .. automethod:: setPredictionCol |
| .. automethod:: transform |
| .. automethod:: write |
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| .. rubric:: Attributes Documentation |
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| .. autoattribute:: aggregationDepth |
| .. autoattribute:: coefficients |
| .. autoattribute:: family |
| .. autoattribute:: featuresCol |
| .. autoattribute:: fitIntercept |
| .. autoattribute:: hasSummary |
| .. autoattribute:: intercept |
| .. autoattribute:: labelCol |
| .. autoattribute:: link |
| .. autoattribute:: linkPower |
| .. autoattribute:: linkPredictionCol |
| .. autoattribute:: maxIter |
| .. autoattribute:: numFeatures |
| .. autoattribute:: offsetCol |
| .. autoattribute:: params |
| .. autoattribute:: predictionCol |
| .. autoattribute:: regParam |
| .. autoattribute:: solver |
| .. autoattribute:: summary |
| .. autoattribute:: tol |
| .. autoattribute:: variancePower |
| .. autoattribute:: weightCol |
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