GLMTask (h2o-algos 3.46.0 API)

```
public abstract class GLMTask
extends java.lang.Object
```
All GLM related distributed tasks: YMUTask - computes response means on actual datasets (if some rows are ignored - e.g ignoring rows with NA and/or doing cross-validation) GLMGradientTask - computes gradient at given Beta, used by L-BFGS, for KKT condition check GLMLineSearchTask - computes residual deviance(s) at given beta(s), used by line search (both L-BFGS and IRLSM) GLMIterationTask - used by IRLSM to compute Gram matrix and response t(X) W X, t(X)Wz

Nested Classes
Modifier and Type	Class and Description
`static class`	`GLMTask.ComputeDiTriGammaTsk` This function will assist in the estimation of dispersion factors using maximum likelihood
`static class`	`GLMTask.ComputeGammaMLSETsk` This function will assist in the estimation of dispersion factors using maximum likelihood
`static class`	`GLMTask.ComputeSEorDEVIANCETsk`
`static class`	`GLMTask.GLMCoordinateDescentTaskSeqIntercept`
`static class`	`GLMTask.GLMCoordinateDescentTaskSeqNaive`
`static class`	`GLMTask.GLMGaussianGradientTask`
`static class`	`GLMTask.GLMGenerateWeightsTask`
`static class`	`GLMTask.GLMIterationTask` One iteration of glm, computes weighted gram matrix and t(x)y vector and t(y)y scalar.
`static class`	`GLMTask.GLMIterationTaskMultinomial`
`static class`	`GLMTask.GLMMultinomialGradientBaseTask`
`static class`	`GLMTask.GLMMultinomialGradientTask`
`static class`	`GLMTask.GLMMultinomialUpdate`
`static class`	`GLMTask.GLMMultinomialWLSTask`
`static class`	`GLMTask.GLMWLSTask`
`static class`	`GLMTask.LSTask` Task to compute t(X) %% W %% X and t(X) %% W %% y
`static class`	`GLMTask.YMUTask`

Constructors
Constructor and Description
`GLMTask()`

Method Summary
- Methods inherited from class java.lang.Object
  clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Class GLMTask