Package hex

The hex package contains math and machine learning algorithms for H2O.

See:
Description

Class Summary

BaseStatsTask	Class for storing and updating basic column stats (max, min, mean, sigma).
ColSummaryTask
ConfusionMatrix
Covariance	Calculate the covariance and correlation of two variables
Covariance.COV_Task
DataManip
DGLM
DGLM.FamilyIced	passthrough class around family that properly supports icing
DGLM.GLMJob
DGLM.GLMModel
DGLM.GLMParams
DGLM.GLMValidation
DGLM.GLMValidationFunc
DGLM.GramMatrixFunc
DGLM.LambdaMax
DGLM.LambdaMaxFunc
DGLM.LinkIced	passthrough class around Link that supports Icing
DLSM	Distributed least squares solvers
DLSM.ADMMSolver
DLSM.GeneralizedGradientSolver	Generalized gradient solver for solving LSM problem with combination of L1 and L2 penalty.
DLSM.LSMSolver
DPCA
DPCA.EigenvectorMatrix
DPCA.PCAJob
DPCA.PCAModel
DPCA.PCAParams
FrameTask<T extends FrameTask<T>>
GLMGrid
GLMGrid.GLMModels
GridSearch
GridSearch.GridSearchProgress
Histogram
Histogram.BinningTask
Histogram.Bins
Histogram.OutlineTask
KMeans	Scalable K-Means++ (KMeans||) http://theory.stanford.edu/~sergei/papers/vldb12-kmpar.pdf http://www.youtube.com/watch?v=cigXAxV3XcY
KMeans.Lloyds
KMeans.Sampler
KMeans.Sqr
KMeans2	Scalable K-Means++ (KMeans||) http://theory.stanford.edu/~sergei/papers/vldb12-kmpar.pdf http://www.youtube.com/watch?v=cigXAxV3XcY
KMeans2.KMeans2Model
KMeans2.KMeans2ModelView
KMeans2.KMeans2Progress
KMeans2.Lloyds
KMeans2.Sampler
KMeans2.SumSqr
KMeansGrid
KMeansModel
KMeansModel.KMeansApply
KMeansModel.KMeansScore
KMeansShared
Layer	Neural network layer.
Layer.ChunkLinear
Layer.ChunksInput
Layer.ChunkSoftmax
Layer.Input
Layer.Linear
Layer.Output
Layer.Rectifier
Layer.Softmax
Layer.Tanh
Layer.VecLinear
Layer.VecsInput
Layer.VecSoftmax
LinearRegression
LinearRegression.CalcRegressionTask
LinearRegression.CalcSquareErrorsTasks
LinearRegression.CalcSumsTask
LR2
LR2.CalcRegressionTask
LR2.CalcSquareErrorsTasks
LR2.CalcSumsTask
NeuralNet	Neural network.
NeuralNet.Error
NeuralNet.NeuralNetModel
NeuralNet.NeuralNetProgress
NeuralNet.NeuralNetScore
NewRowVecTask<T extends Iced>
NewRowVecTask.DataFrame	Struct to keep info about our data.
NewRowVecTask.RowFunc<T extends Iced>
NodeShuffle	Shuffle the rows of some dataset, such that the natural placement of the resulting ValueArray onto Nodes results in some good property.
NOPTask
Plot	Basic data visualization using map/reduce.
Quantiles
Quantiles.QuantilesTask
RowTask<T extends Freezable>
RowTask.Row<T extends Freezable>
RowTask.RowFunction<T extends Iced>
RowVecTask
RowVecTask.Sampling
ScoreTask
Summary
Summary.ColSummary
Summary2	Summary of a column.
Trainer	Trains a neural network.
Trainer.Base
Trainer.Direct	Trains NN on current thread.
Trainer.MapReduce	Distributed trainer.
Trainer.OpenCL	GPU based trainer.
Trainer.Threaded	Runs several trainers in parallel on the same weights, using threads.

Enum Summary

ConfusionMatrix.ErrMetric
DataManip.Operation
DGLM.CaseMode
DGLM.Family
DGLM.GLMModel.Status
DGLM.Link
DLSM.LSMSolverType
KMeans.Initialization
NeuralNet.Activation
RowVecTask.DataPreprocessing

Exception Summary

DGLM.GLMException
DLSM.ADMMSolver.NonSPDMatrixException
DLSM.LSMSolver.LSMSolverException
NewRowVecTask.JobCancelledException

Package hex Description

The hex package contains math and machine learning algorithms for H2O.