org.apache.spark.ml.regression

Interface LinearRegressionParams

All Superinterfaces:

HasFeaturesCol, HasLabelCol, HasMaxIter, HasPredictionCol, HasRegParam, Identifiable, Params, PredictorParams, RegressorParams, java.io.Serializable

All Known Implementing Classes:

LinearRegression, LinearRegressionModel

public interface LinearRegressionParams
extends RegressorParams, HasRegParam, HasMaxIter

Params for linear regression.

Method Summary

Methods inherited from interface org.apache.spark.ml.impl.estimator.PredictorParams

validateAndTransformSchema

Methods inherited from interface org.apache.spark.ml.param.HasLabelCol

getLabelCol, labelCol

Methods inherited from interface org.apache.spark.ml.param.HasFeaturesCol

featuresCol, getFeaturesCol

Methods inherited from interface org.apache.spark.ml.param.HasPredictionCol

getPredictionCol, predictionCol

Methods inherited from interface org.apache.spark.ml.param.Params

addOutputColumn, checkInputColumn, explainParams, get, getParam, isSet, paramMap, params, set, set, validate, validate

Methods inherited from interface org.apache.spark.ml.Identifiable

uid

Methods inherited from interface org.apache.spark.ml.param.HasRegParam

getRegParam, regParam

Methods inherited from interface org.apache.spark.ml.param.HasMaxIter

getMaxIter, maxIter