org.apache.spark.ml.regression
The alpha-quantile of the huber loss function and the quantile loss function.
The alpha-quantile of the huber loss function and the quantile loss function. Only if loss="huber" or loss="quantile". (default = 0.9)
param for the estimator that will be used by the ensemble learner as a base learner
param for the estimator that will be used by the ensemble learner as a base learner
param for the learning rate of the algorithm
param for the learning rate of the algorithm
Loss function which Boosting tries to minimize.
Loss function which Boosting tries to minimize. (case-insensitive) Supported: "squared", "absolute", "huber", "quantile". (default = ls)
param for the number of base learners of the algorithm
param for the number of base learners of the algorithm
param for the number of round waiting for next decrease in validation set
param for the number of round waiting for next decrease in validation set
param for using optimized weights in GBM
param for using optimized weights in GBM
param for whether samples are drawn with replacement
param for whether samples are drawn with replacement
param for ratio of rows sampled out of the dataset
param for ratio of rows sampled out of the dataset
param for ratio of rows sampled out of the dataset
param for ratio of rows sampled out of the dataset