public static class GLMModel.GLMOutput
extends hex.SupervisedModel.SupervisedOutput
| Modifier and Type | Field and Description |
|---|---|
boolean |
_binomial |
| Constructor and Description |
|---|
GLMModel.GLMOutput() |
GLMModel.GLMOutput(GLM glm) |
GLMModel.GLMOutput(java.lang.String[] column_names,
java.lang.String[][] domains,
java.lang.String[] coefficient_names,
double[] coefficients,
float threshold,
boolean binomial) |
| Modifier and Type | Method and Description |
|---|---|
GLMModel.Submodel |
bestSubmodel() |
double[] |
beta() |
java.lang.String[] |
classNames() |
java.lang.String[] |
coefficientNames() |
boolean |
isNormalized() |
int |
nclasses() |
void |
pickBestModel(boolean useAuc,
GLMModel m,
water.fvec.Frame tFrame,
water.fvec.Frame vFrame) |
int |
rank() |
int |
rank(double lambda) |
hex.ModelMetrics |
setModelMetrics(hex.ModelMetrics mm) |
void |
setSubmodelIdx(int l,
GLMModel m,
water.fvec.Frame tFrame,
water.fvec.Frame vFrame) |
GLMModel.Submodel |
submodelForLambda(double lambda) |
int |
submodelIdForLambda(double lambda) |
getModelCategory, isClassifier, isSupervised, nfeaturespublic GLMModel.GLMOutput(java.lang.String[] column_names,
java.lang.String[][] domains,
java.lang.String[] coefficient_names,
double[] coefficients,
float threshold,
boolean binomial)
public GLMModel.GLMOutput()
public GLMModel.GLMOutput(GLM glm)
public int rank()
public boolean isNormalized()
public java.lang.String[] coefficientNames()
public int nclasses()
nclasses in class hex.SupervisedModel.SupervisedOutputpublic java.lang.String[] classNames()
classNames in class hex.Model.Outputpublic int submodelIdForLambda(double lambda)
public GLMModel.Submodel submodelForLambda(double lambda)
public int rank(double lambda)
public void pickBestModel(boolean useAuc,
GLMModel m,
water.fvec.Frame tFrame,
water.fvec.Frame vFrame)
public hex.ModelMetrics setModelMetrics(hex.ModelMetrics mm)
public void setSubmodelIdx(int l,
GLMModel m,
water.fvec.Frame tFrame,
water.fvec.Frame vFrame)
public double[] beta()
public GLMModel.Submodel bestSubmodel()