public class GeneralizedLinearRegressionTrainingSummary extends GeneralizedLinearRegressionSummary implements scala.Serializable
GeneralizedLinearRegression
fitting and model.
param: dataset Dataset to be summarized. param: origModel Model to be summarized. This is copied to create an internal model which cannot be modified from outside. param: diagInvAtWA diagonal of matrix (A^T * W * A)^-1 in the last iteration param: numIterations number of iterations param: solver the solver algorithm used for model training
Modifier and Type | Method and Description |
---|---|
double[] |
coefficientStandardErrors() |
int |
numIterations() |
double[] |
pValues() |
String |
solver() |
String |
toString() |
double[] |
tValues() |
aic, degreesOfFreedom, deviance, dispersion, nullDeviance, numInstances, predictionCol, predictions, rank, residualDegreeOfFreedom, residualDegreeOfFreedomNull, residuals, residuals