Class SimpleModel
java.lang.Object
org.elasticsearch.search.aggregations.pipeline.MovAvgModel
org.elasticsearch.search.aggregations.pipeline.SimpleModel
- All Implemented Interfaces:
NamedWriteable
,Writeable
,org.elasticsearch.common.xcontent.ToXContent
,org.elasticsearch.common.xcontent.ToXContentFragment
public class SimpleModel extends MovAvgModel
Calculate a simple unweighted (arithmetic) moving average
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
SimpleModel.SimpleModelBuilder
Nested classes/interfaces inherited from class org.elasticsearch.search.aggregations.pipeline.MovAvgModel
MovAvgModel.AbstractModelParser
Nested classes/interfaces inherited from interface org.elasticsearch.common.xcontent.ToXContent
org.elasticsearch.common.xcontent.ToXContent.DelegatingMapParams, org.elasticsearch.common.xcontent.ToXContent.MapParams, org.elasticsearch.common.xcontent.ToXContent.Params
Nested classes/interfaces inherited from interface org.elasticsearch.common.io.stream.Writeable
Writeable.Reader<V>, Writeable.Writer<V>
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Field Summary
Fields Modifier and Type Field Description static java.lang.String
NAME
static MovAvgModel.AbstractModelParser
PARSER
Fields inherited from interface org.elasticsearch.common.xcontent.ToXContent
EMPTY_PARAMS
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Constructor Summary
Constructors Constructor Description SimpleModel()
SimpleModel(StreamInput in)
Read from a stream. -
Method Summary
Modifier and Type Method Description boolean
canBeMinimized()
Returns if the model can be cost minimized.MovAvgModel
clone()
Clone the model, returning an exact copyprotected double[]
doPredict(java.util.Collection<java.lang.Double> values, int numPredictions)
Calls to the model-specific implementation which actually generates the predictionsboolean
equals(java.lang.Object obj)
java.lang.String
getWriteableName()
Returns the name of the writeable objectint
hashCode()
MovAvgModel
neighboringModel()
Generates a "neighboring" model, where one of the tunable parameters has been randomly mutated within the allowed range.double
next(java.util.Collection<java.lang.Double> values)
Returns the next value in the series, according to the underlying smoothing modelorg.elasticsearch.common.xcontent.XContentBuilder
toXContent(org.elasticsearch.common.xcontent.XContentBuilder builder, org.elasticsearch.common.xcontent.ToXContent.Params params)
void
writeTo(StreamOutput out)
Write the model to the output streamMethods inherited from class org.elasticsearch.search.aggregations.pipeline.MovAvgModel
emptyPredictions, hasValue, minimizeByDefault, predict, validate
Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface org.elasticsearch.common.xcontent.ToXContentFragment
isFragment
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Field Details
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NAME
public static final java.lang.String NAME- See Also:
- Constant Field Values
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PARSER
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Constructor Details
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SimpleModel
public SimpleModel() -
SimpleModel
Read from a stream.- Throws:
java.io.IOException
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Method Details
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writeTo
Description copied from class:MovAvgModel
Write the model to the output stream- Specified by:
writeTo
in interfaceWriteable
- Specified by:
writeTo
in classMovAvgModel
- Parameters:
out
- Output stream- Throws:
java.io.IOException
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getWriteableName
public java.lang.String getWriteableName()Description copied from interface:NamedWriteable
Returns the name of the writeable object -
canBeMinimized
public boolean canBeMinimized()Description copied from class:MovAvgModel
Returns if the model can be cost minimized. Not all models have parameters which can be tuned / optimized.- Specified by:
canBeMinimized
in classMovAvgModel
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neighboringModel
Description copied from class:MovAvgModel
Generates a "neighboring" model, where one of the tunable parameters has been randomly mutated within the allowed range. Used for minimization- Specified by:
neighboringModel
in classMovAvgModel
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clone
Description copied from class:MovAvgModel
Clone the model, returning an exact copy- Specified by:
clone
in classMovAvgModel
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doPredict
protected double[] doPredict(java.util.Collection<java.lang.Double> values, int numPredictions)Description copied from class:MovAvgModel
Calls to the model-specific implementation which actually generates the predictions- Specified by:
doPredict
in classMovAvgModel
- Parameters:
values
- Collection of numerics to movingAvg, usually windowednumPredictions
- Number of newly generated predictions to return- Returns:
- Returns an array of doubles, since most smoothing methods operate on floating points
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next
public double next(java.util.Collection<java.lang.Double> values)Description copied from class:MovAvgModel
Returns the next value in the series, according to the underlying smoothing model- Specified by:
next
in classMovAvgModel
- Parameters:
values
- Collection of numerics to movingAvg, usually windowed- Returns:
- Returns a double, since most smoothing methods operate on floating points
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toXContent
public org.elasticsearch.common.xcontent.XContentBuilder toXContent(org.elasticsearch.common.xcontent.XContentBuilder builder, org.elasticsearch.common.xcontent.ToXContent.Params params) throws java.io.IOException- Throws:
java.io.IOException
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hashCode
public int hashCode()- Specified by:
hashCode
in classMovAvgModel
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equals
public boolean equals(java.lang.Object obj)- Specified by:
equals
in classMovAvgModel
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