Uses of Class
org.elasticsearch.search.aggregations.pipeline.MovAvgModel

Packages that use MovAvgModel

Package	Description
org.elasticsearch.plugins
org.elasticsearch.search.aggregations.pipeline

Uses of MovAvgModel in org.elasticsearch.plugins

Methods in org.elasticsearch.plugins that return types with arguments of type MovAvgModel

Modifier and Type	Method	Description
default List<SearchPlugin.SearchExtensionSpec<MovAvgModel,MovAvgModel.AbstractModelParser>>	SearchPlugin.getMovingAverageModels()	The new MovAvgModels defined by this plugin.

Uses of MovAvgModel in org.elasticsearch.search.aggregations.pipeline

Subclasses of MovAvgModel in org.elasticsearch.search.aggregations.pipeline

Modifier and Type	Class	Description
class	EwmaModel	Calculate a exponentially weighted moving average
class	HoltLinearModel	Calculate a doubly exponential weighted moving average
class	HoltWintersModel	Calculate a triple exponential weighted moving average
class	LinearModel	Calculate a linearly weighted moving average, such that older values are linearly less important.
class	SimpleModel	Calculate a simple unweighted (arithmetic) moving average

Methods in org.elasticsearch.search.aggregations.pipeline that return MovAvgModel

Modifier and Type	Method	Description
MovAvgModel	EwmaModel.EWMAModelBuilder.build()
MovAvgModel	HoltLinearModel.HoltLinearModelBuilder.build()
MovAvgModel	HoltWintersModel.HoltWintersModelBuilder.build()
MovAvgModel	LinearModel.LinearModelBuilder.build()
MovAvgModel	MovAvgModelBuilder.build()
MovAvgModel	SimpleModel.SimpleModelBuilder.build()
MovAvgModel	EwmaModel.clone()
MovAvgModel	HoltLinearModel.clone()
MovAvgModel	HoltWintersModel.clone()
MovAvgModel	LinearModel.clone()
abstract MovAvgModel	MovAvgModel.clone()	Clone the model, returning an exact copy
MovAvgModel	SimpleModel.clone()
static MovAvgModel	SimulatedAnealingMinimizer.minimize(MovAvgModel model, EvictingQueue<Double> train, double[] test)	Runs the simulated annealing algorithm and produces a model with new coefficients that, theoretically fit the data better and generalizes to future forecasts without overfitting.
MovAvgModel	MovAvgPipelineAggregationBuilder.model()	Gets a MovAvgModel for the Moving Average.
MovAvgModel	EwmaModel.neighboringModel()
MovAvgModel	HoltLinearModel.neighboringModel()
MovAvgModel	HoltWintersModel.neighboringModel()
MovAvgModel	LinearModel.neighboringModel()
abstract MovAvgModel	MovAvgModel.neighboringModel()	Generates a "neighboring" model, where one of the tunable parameters has been randomly mutated within the allowed range.
MovAvgModel	SimpleModel.neighboringModel()
abstract MovAvgModel	MovAvgModel.AbstractModelParser.parse(Map<String,Object> settings, String pipelineName, int windowSize)	Parse a settings hash that is specific to this model

Methods in org.elasticsearch.search.aggregations.pipeline with parameters of type MovAvgModel

Modifier and Type	Method	Description
static MovAvgModel	SimulatedAnealingMinimizer.minimize(MovAvgModel model, EvictingQueue<Double> train, double[] test)	Runs the simulated annealing algorithm and produces a model with new coefficients that, theoretically fit the data better and generalizes to future forecasts without overfitting.
MovAvgPipelineAggregationBuilder	MovAvgPipelineAggregationBuilder.model(MovAvgModel model)	Sets a MovAvgModel for the Moving Average.