Uses of Class
org.apache.wayang.ml4all.abstraction.plan.ML4allModel

Packages that use ML4allModel

Package	Description
org.apache.wayang.ml4all.abstraction.api
org.apache.wayang.ml4all.abstraction.plan
org.apache.wayang.ml4all.abstraction.plan.wrappers
org.apache.wayang.ml4all.algorithms.kmeans
org.apache.wayang.ml4all.algorithms.sgd

Uses of ML4allModel in org.apache.wayang.ml4all.abstraction.api

Methods in org.apache.wayang.ml4all.abstraction.api that return ML4allModel

Modifier and Type	Method	Description
abstract ML4allModel	Update.assign(List<R> input, ML4allModel context)	Assigns the new value of the global variable to the ML4allModel
abstract ML4allModel	UpdateLocal.assign(R input, ML4allModel context)	Assigns the new value of the global variable to the ML4allModel

Methods in org.apache.wayang.ml4all.abstraction.api with parameters of type ML4allModel

Modifier and Type	Method	Description
abstract ML4allModel	Update.assign(List<R> input, ML4allModel context)	Assigns the new value of the global variable to the ML4allModel
abstract ML4allModel	UpdateLocal.assign(R input, ML4allModel context)	Assigns the new value of the global variable to the ML4allModel
abstract R	Loop.prepareConvergenceDataset(V input, ML4allModel context)
abstract R	Compute.process(V input, ML4allModel context)	Performs a computation at the data unit granularity
abstract R	Update.process(V input, ML4allModel context)	Computes the new value of the global variable
abstract R	UpdateLocal.process(V input, ML4allModel context)	Computes the new value of the global variable
abstract void	LocalStage.staging(ML4allModel context)

Uses of ML4allModel in org.apache.wayang.ml4all.abstraction.plan

Methods in org.apache.wayang.ml4all.abstraction.plan that return ML4allModel

Modifier and Type	Method	Description
ML4allModel	ML4allModel.clone()
ML4allModel	ML4allPlan.execute(String inputFileUrl, WayangContext wayangContext)
ML4allModel	ML4allModel.put(String key, Object value)

Uses of ML4allModel in org.apache.wayang.ml4all.abstraction.plan.wrappers

Fields in org.apache.wayang.ml4all.abstraction.plan.wrappers declared as ML4allModel

Modifier and Type	Field	Description
protected ML4allModel	LogicalOperatorWrapperWithModel.ml4allModel

Methods in org.apache.wayang.ml4all.abstraction.plan.wrappers that return ML4allModel

Modifier and Type	Method	Description
ML4allModel	AssignWrapper.apply(List<R> o)
ML4allModel	AssignWrapperLocal.apply(V o)

Uses of ML4allModel in org.apache.wayang.ml4all.algorithms.kmeans

Methods in org.apache.wayang.ml4all.algorithms.kmeans that return ML4allModel

Modifier and Type	Method	Description
ML4allModel	KMeansUpdate.assign(List<Tuple2<Integer,double[]>> input, ML4allModel model)

Methods in org.apache.wayang.ml4all.algorithms.kmeans with parameters of type ML4allModel

Modifier and Type	Method	Description
ML4allModel	KMeansUpdate.assign(List<Tuple2<Integer,double[]>> input, ML4allModel model)
Double	KMeansConvergeOrMaxIterationsLoop.prepareConvergenceDataset(ArrayList<Tuple2<Integer,double[]>> newCenters, ML4allModel model)
Tuple2	KMeansCompute.process(double[] input, ML4allModel model)
Tuple2<Integer,double[]>	KMeansUpdate.process(Tuple2<Integer,Tuple2<Integer,double[]>> input, ML4allModel model)
void	KMeansStageWithZeros.staging(ML4allModel model)

Uses of ML4allModel in org.apache.wayang.ml4all.algorithms.sgd

Methods in org.apache.wayang.ml4all.algorithms.sgd that return ML4allModel

Modifier and Type	Method	Description
ML4allModel	WeightsUpdate.assign(double[] input, ML4allModel model)

Methods in org.apache.wayang.ml4all.algorithms.sgd with parameters of type ML4allModel

Modifier and Type	Method	Description
ML4allModel	WeightsUpdate.assign(double[] input, ML4allModel model)
Double	SGDLoop.prepareConvergenceDataset(double[] input, ML4allModel model)
double[]	ComputeLogisticGradient.process(double[] point, ML4allModel model)
double[]	WeightsUpdate.process(double[] input, ML4allModel model)
void	SGDStageWithZeros.staging(ML4allModel model)