A B C D E F G H I L M N O P R S T U V W

A

AbstractExponentialSmoothing - Class in org.hawkular.datamining.forecast.models

AbstractExponentialSmoothing(MetricContext) - Constructor for class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

AbstractExponentialSmoothing(MetricContext, int) - Constructor for class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

AbstractExponentialSmoothing.PredictionResult - Class in org.hawkular.datamining.forecast.models

AbstractModelOptimizer - Class in org.hawkular.datamining.forecast.models

AbstractModelOptimizer(MetricContext) - Constructor for class org.hawkular.datamining.forecast.models.AbstractModelOptimizer

AccuracyStatistics - Class in org.hawkular.datamining.forecast.stats

Holds statistics of the model

AccuracyStatistics(double, double, double) - Constructor for class org.hawkular.datamining.forecast.stats.AccuracyStatistics

AdditiveSeasonalDecomposition - Class in org.hawkular.datamining.forecast.utils

Additive time series decomposition

AdditiveSeasonalDecomposition(List<DataPoint>, int) - Constructor for class org.hawkular.datamining.forecast.utils.AdditiveSeasonalDecomposition

ADF_TEST_DEFAULT_CRITICAL_PVALUE - Static variable in class org.hawkular.datamining.forecast.utils.AutomaticPeriodIdentification

AugmentedDickeyFullerTest - Class in org.hawkular.datamining.forecast.stats

Augmented Dickey-Fuller test

AugmentedDickeyFullerTest(double[], int) - Constructor for class org.hawkular.datamining.forecast.stats.AugmentedDickeyFullerTest

Default constructor for testing trend stationary time series.

AugmentedDickeyFullerTest(double[], int, AugmentedDickeyFullerTest.Type) - Constructor for class org.hawkular.datamining.forecast.stats.AugmentedDickeyFullerTest

AugmentedDickeyFullerTest.Type - Enum in org.hawkular.datamining.forecast.stats

ADF test variants

AutoCorrelationFunction - Class in org.hawkular.datamining.forecast.stats

ACF - autocorrelation function

AutomaticForecaster - Class in org.hawkular.datamining.forecast

Selects the best model for given data set.

AutomaticForecaster(MetricContext) - Constructor for class org.hawkular.datamining.forecast.AutomaticForecaster

AutomaticForecaster(MetricContext, Forecaster.Config) - Constructor for class org.hawkular.datamining.forecast.AutomaticForecaster

AutomaticForecaster.ConceptDriftStrategy - Class in org.hawkular.datamining.forecast

Strategy used for dealing with concept drift (statistical properties of modelled time series change over time) For instance originally monotonic time series has changed to trend stationary or seasonal pattern has showed up.

AutomaticForecaster.ErrorChangeStrategy - Class in org.hawkular.datamining.forecast

Changes model if run accuracy differs by X percent to init accuracy (MSE, MAE).

AutomaticForecaster.ErrorChangeStrategy.Statistics - Enum in org.hawkular.datamining.forecast

AutomaticForecaster.PeriodicIntervalStrategy - Class in org.hawkular.datamining.forecast

The best model is periodically selected after each x learned points.

AutomaticPeriodIdentification - Class in org.hawkular.datamining.forecast.utils

Finds number of period of time series.

B

build() - Method in class org.hawkular.datamining.forecast.Forecaster.Config.Builder

build() - Method in class org.hawkular.datamining.forecast.Forecaster.Update.Builder

builder() - Static method in class org.hawkular.datamining.forecast.Forecaster.Config

Builder() - Constructor for class org.hawkular.datamining.forecast.Forecaster.Config.Builder

Builder() - Constructor for class org.hawkular.datamining.forecast.Forecaster.Update.Builder

C

calculatePrediction(int, Long, Double) - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

calculatePrediction(int, Long, Double) - Method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

calculatePrediction(int, Long, Double) - Method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

calculatePrediction(int, Long, Double) - Method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

compare(DataPoint, DataPoint) - Method in class org.hawkular.datamining.forecast.models.TimeSeriesModel.TimestampComparator

ConceptDriftStrategy() - Constructor for class org.hawkular.datamining.forecast.AutomaticForecaster.ConceptDriftStrategy

config() - Method in class org.hawkular.datamining.forecast.AutomaticForecaster

config() - Method in interface org.hawkular.datamining.forecast.Forecaster

Config(int, Model, InformationCriterion, AutomaticForecaster.ConceptDriftStrategy, Integer) - Constructor for class org.hawkular.datamining.forecast.Forecaster.Config

context() - Method in class org.hawkular.datamining.forecast.AutomaticForecaster

context() - Method in interface org.hawkular.datamining.forecast.Forecaster

ContinuousModel - Class in org.hawkular.datamining.forecast.models

Some models throw exception if model has not been initialized TimeSeriesModel.init(List) before calling TimeSeriesModel.learn(DataPoint).

ContinuousModel(TimeSeriesModel) - Constructor for class org.hawkular.datamining.forecast.models.ContinuousModel

correlation(double[], int) - Static method in class org.hawkular.datamining.forecast.stats.AutoCorrelationFunction

Autocorrelation function AFC complexity: O(n^2), could be optimized to n*log(n) using FFT http://stackoverflow.com/questions/12239096/computing-autocorrelation-with-fft-using-jtransforms-library http://dsp.stackexchange.com/questions/3337/finding-peaks-in-an-autocorrelation-function in python http://stats.stackexchange.com/questions/85686/how-to-test-for-presence-of-trend-in-time-series

costFunction(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing.DoubleExOptimizer

costFunction(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing.SimpleExOptimizer

covariance(double[], int) - Static method in class org.hawkular.datamining.forecast.stats.AutoCorrelationFunction

createCustom(double, double, MetricContext) - Static method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

createCustom(double, MetricContext) - Static method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

createCustom(int, double, double, double, MetricContext) - Static method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

createDefault() - Static method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

createDefault() - Static method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

createDefault(int) - Static method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

createWithMetric(MetricContext) - Static method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

createWithMetric(int, MetricContext) - Static method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

createWithSmoothingParam(double) - Static method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

createWithSmoothingParams(double, double) - Static method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

createWithSmoothingParams(int, double, double, double) - Static method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

createWithState(TripleExponentialSmoothing.TripleExState, double, double, double, MetricContext) - Static method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

D

DataPoint - Class in org.hawkular.datamining.forecast

Represents point at specific time

DataPoint(Double, Long) - Constructor for class org.hawkular.datamining.forecast.DataPoint

DataPoint(Double, Long, Double, Double) - Constructor for class org.hawkular.datamining.forecast.DataPoint

decompose() - Method in class org.hawkular.datamining.forecast.utils.AdditiveSeasonalDecomposition

decompose() - Method in interface org.hawkular.datamining.forecast.utils.TimeSeriesDecomposition

DEFAULT_LEVEL_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

DEFAULT_LEVEL_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

DEFAULT_LEVEL_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

DEFAULT_SEASONAL_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

DEFAULT_TREND_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

DEFAULT_TREND_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

differencesAtLag(double[], int) - Static method in class org.hawkular.datamining.forecast.utils.TimeSeriesDifferencing

DoubleExOptimizer(MetricContext) - Constructor for class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing.DoubleExOptimizer

DoubleExponentialSmoothing - Class in org.hawkular.datamining.forecast.models

Double exponential smoothing (Holt's linear trend model) Works well when data exhibits increasing or decreasing trend pattern.

DoubleExponentialSmoothing.DoubleExOptimizer - Class in org.hawkular.datamining.forecast.models

DoubleExponentialSmoothing.DoubleExState - Class in org.hawkular.datamining.forecast.models

DoubleExState(double, double) - Constructor for class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing.DoubleExState

E

equals(Object) - Method in class org.hawkular.datamining.forecast.AutomaticForecaster.ErrorChangeStrategy

equals(Object) - Method in class org.hawkular.datamining.forecast.AutomaticForecaster.PeriodicIntervalStrategy

equals(Object) - Method in class org.hawkular.datamining.forecast.DataPoint

equals(Object) - Method in class org.hawkular.datamining.forecast.Forecaster.Config

equals(Object) - Method in class org.hawkular.datamining.forecast.stats.AccuracyStatistics

error - Variable in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing.PredictionResult

ErrorChangeStrategy(int, AutomaticForecaster.ErrorChangeStrategy.Statistics) - Constructor for class org.hawkular.datamining.forecast.AutomaticForecaster.ErrorChangeStrategy

F

firstTimestamp - Variable in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing.TripleExState

forecast() - Method in class org.hawkular.datamining.forecast.AutomaticForecaster

forecast(int) - Method in class org.hawkular.datamining.forecast.AutomaticForecaster

forecast() - Method in interface org.hawkular.datamining.forecast.Forecaster

forecast(int) - Method in interface org.hawkular.datamining.forecast.Forecaster

forecast() - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

forecast(int) - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

forecast() - Method in class org.hawkular.datamining.forecast.models.ContinuousModel

forecast(int) - Method in class org.hawkular.datamining.forecast.models.ContinuousModel

forecast() - Method in interface org.hawkular.datamining.forecast.models.TimeSeriesModel

One step ahead prediction

forecast(int) - Method in interface org.hawkular.datamining.forecast.models.TimeSeriesModel

Multi step ahead prediction

forecaster - Variable in class org.hawkular.datamining.forecast.AutomaticForecaster.ConceptDriftStrategy

Forecaster - Interface in org.hawkular.datamining.forecast

Forecaster.Config - Class in org.hawkular.datamining.forecast

Forecaster.Config.Builder - Class in org.hawkular.datamining.forecast

Forecaster.Update - Class in org.hawkular.datamining.forecast

Forecaster.Update.Builder - Class in org.hawkular.datamining.forecast

G

getAic() - Method in class org.hawkular.datamining.forecast.stats.InformationCriterionHolder

getAicc() - Method in class org.hawkular.datamining.forecast.stats.InformationCriterionHolder

getBic() - Method in class org.hawkular.datamining.forecast.stats.InformationCriterionHolder

getCollectionInterval() - Method in class org.hawkular.datamining.forecast.ImmutableMetricContext

getCollectionInterval() - Method in interface org.hawkular.datamining.forecast.MetricContext

getConceptDriftStrategy() - Method in class org.hawkular.datamining.forecast.Forecaster.Config

getConceptDriftStrategy() - Method in class org.hawkular.datamining.forecast.Forecaster.Update

getDefault() - Static method in class org.hawkular.datamining.forecast.Forecaster.Config

getDefault() - Static method in class org.hawkular.datamining.forecast.ImmutableMetricContext

getIc() - Method in class org.hawkular.datamining.forecast.Forecaster.Config

getIc() - Method in class org.hawkular.datamining.forecast.Forecaster.Update

getMae() - Method in class org.hawkular.datamining.forecast.stats.AccuracyStatistics

getMax() - Method in class org.hawkular.datamining.forecast.DataPoint

getMetricContext() - Method in class org.hawkular.datamining.forecast.models.AbstractModelOptimizer

getMetricId() - Method in class org.hawkular.datamining.forecast.ImmutableMetricContext

getMetricId() - Method in interface org.hawkular.datamining.forecast.MetricContext

getMin() - Method in class org.hawkular.datamining.forecast.DataPoint

getModel() - Method in enum org.hawkular.datamining.forecast.models.Model

getModelToUse() - Method in class org.hawkular.datamining.forecast.Forecaster.Config

getModelToUse() - Method in class org.hawkular.datamining.forecast.Forecaster.Update

getMse() - Method in class org.hawkular.datamining.forecast.stats.AccuracyStatistics

getOptimizer() - Method in enum org.hawkular.datamining.forecast.models.Model

getPercentageChange() - Method in class org.hawkular.datamining.forecast.AutomaticForecaster.ErrorChangeStrategy

getPeriod() - Method in class org.hawkular.datamining.forecast.AutomaticForecaster.PeriodicIntervalStrategy

getPeriod() - Method in class org.hawkular.datamining.forecast.Forecaster.Config

getPeriod() - Method in class org.hawkular.datamining.forecast.Forecaster.Update

getPeriods() - Method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing.TripleExOptimizer

getRmse() - Method in class org.hawkular.datamining.forecast.stats.AccuracyStatistics

getSse() - Method in class org.hawkular.datamining.forecast.stats.AccuracyStatistics

getStatistics() - Method in class org.hawkular.datamining.forecast.AutomaticForecaster.ErrorChangeStrategy

getTenant() - Method in class org.hawkular.datamining.forecast.ImmutableMetricContext

getTenant() - Method in interface org.hawkular.datamining.forecast.MetricContext

getTimestamp() - Method in class org.hawkular.datamining.forecast.DataPoint

getType() - Method in class org.hawkular.datamining.forecast.stats.AugmentedDickeyFullerTest

getValue() - Method in class org.hawkular.datamining.forecast.DataPoint

getWindowSize() - Method in class org.hawkular.datamining.forecast.Forecaster.Update

getWindowsSize() - Method in class org.hawkular.datamining.forecast.Forecaster.Config

H

hashCode() - Method in class org.hawkular.datamining.forecast.AutomaticForecaster.ErrorChangeStrategy

hashCode() - Method in class org.hawkular.datamining.forecast.AutomaticForecaster.PeriodicIntervalStrategy

hashCode() - Method in class org.hawkular.datamining.forecast.DataPoint

hashCode() - Method in class org.hawkular.datamining.forecast.Forecaster.Config

hashCode() - Method in class org.hawkular.datamining.forecast.stats.AccuracyStatistics

I

ImmutableMetricContext - Class in org.hawkular.datamining.forecast

ImmutableMetricContext(String, String, Long) - Constructor for class org.hawkular.datamining.forecast.ImmutableMetricContext

InformationCriterion - Enum in org.hawkular.datamining.forecast.stats

informationCriterion(InformationCriterion) - Method in class org.hawkular.datamining.forecast.stats.InformationCriterionHolder

InformationCriterionHolder - Class in org.hawkular.datamining.forecast.stats

InformationCriterionHolder(double, double, int) - Constructor for class org.hawkular.datamining.forecast.stats.InformationCriterionHolder

init(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

init(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.ContinuousModel

init(List<DataPoint>) - Method in interface org.hawkular.datamining.forecast.models.TimeSeriesModel

Initialize model and return statistics - error of one step ahead prediction

initialized() - Method in class org.hawkular.datamining.forecast.AutomaticForecaster

initialized() - Method in interface org.hawkular.datamining.forecast.Forecaster

initState(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

initState(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

initState(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

initState(List<DataPoint>, int, MetricContext) - Static method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

initState(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

initStatistics() - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

initStatistics() - Method in class org.hawkular.datamining.forecast.models.ContinuousModel

initStatistics() - Method in interface org.hawkular.datamining.forecast.models.TimeSeriesModel

isOptimizedBy(ModelOptimizer) - Method in enum org.hawkular.datamining.forecast.models.Model

L

lag(double[], int) - Static method in class org.hawkular.datamining.forecast.utils.TimeSeriesLag

lastTimestamp() - Method in class org.hawkular.datamining.forecast.AutomaticForecaster

lastTimestamp() - Method in interface org.hawkular.datamining.forecast.Forecaster

lastTimestamp - Variable in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

lastTimestamp() - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

lastTimestamp() - Method in class org.hawkular.datamining.forecast.models.ContinuousModel

lastTimestamp() - Method in interface org.hawkular.datamining.forecast.models.TimeSeriesModel

learn(DataPoint) - Method in class org.hawkular.datamining.forecast.AutomaticForecaster

learn(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.AutomaticForecaster

learn(DataPoint) - Method in interface org.hawkular.datamining.forecast.Forecaster

learn(List<DataPoint>) - Method in interface org.hawkular.datamining.forecast.Forecaster

learn(DataPoint) - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

learn(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

learn(DataPoint) - Method in class org.hawkular.datamining.forecast.models.ContinuousModel

learn(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.ContinuousModel

learn() - Method in class org.hawkular.datamining.forecast.models.SimpleMovingAverage

learn(DataPoint) - Method in interface org.hawkular.datamining.forecast.models.TimeSeriesModel

Learn one point

learn(List<DataPoint>) - Method in interface org.hawkular.datamining.forecast.models.TimeSeriesModel

Learn multiple points

learn() - Method in class org.hawkular.datamining.forecast.models.WeightedMovingAverage

level - Variable in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing.State

Logger - Interface in org.hawkular.datamining.forecast

LOGGER - Static variable in interface org.hawkular.datamining.forecast.Logger

Logger_$logger - Class in org.hawkular.datamining.forecast

Warning this class consists of generated code.

Logger_$logger(Logger) - Constructor for class org.hawkular.datamining.forecast.Logger_$logger

M

MAX_LEVEL_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

MAX_LEVEL_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

MAX_LEVEL_TREND_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

MAX_SEASONAL_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

MAX_TREND_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

MetricContext - Interface in org.hawkular.datamining.forecast

metricContext - Variable in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

MIN_LEVEL_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

MIN_LEVEL_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

MIN_LEVEL_TREND_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

MIN_SEASONAL_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

MIN_TREND_SMOOTHING - Static variable in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

minimizedMSE(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing.DoubleExOptimizer

minimizedMSE(List<DataPoint>) - Method in interface org.hawkular.datamining.forecast.models.ModelOptimizer

minimizedMSE(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing.SimpleExOptimizer

minimizedMSE(List<DataPoint>) - Method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing.TripleExOptimizer

minimumInitSize() - Method in class org.hawkular.datamining.forecast.models.ContinuousModel

minimumInitSize() - Method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

minimumInitSize() - Method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

minimumInitSize() - Method in interface org.hawkular.datamining.forecast.models.TimeSeriesModel

minimumInitSize() - Method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

model() - Method in class org.hawkular.datamining.forecast.AutomaticForecaster

model() - Method in interface org.hawkular.datamining.forecast.Forecaster

Model - Enum in org.hawkular.datamining.forecast.models

ModelOptimizer - Interface in org.hawkular.datamining.forecast.models

Finds best model for given data set.

multiplier(int) - Static method in class org.hawkular.datamining.forecast.PredictionIntervalMultipliers

N

name() - Method in class org.hawkular.datamining.forecast.models.ContinuousModel

name() - Method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

name() - Method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

name() - Method in interface org.hawkular.datamining.forecast.models.TimeSeriesModel

name() - Method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

numberOfParams() - Method in class org.hawkular.datamining.forecast.models.ContinuousModel

numberOfParams() - Method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

numberOfParams() - Method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

numberOfParams() - Method in interface org.hawkular.datamining.forecast.models.TimeSeriesModel

numberOfParams() - Method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

O

optimize(double[], MultivariateFunctionMappingAdapter) - Method in class org.hawkular.datamining.forecast.models.AbstractModelOptimizer

optimizer() - Static method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

optimizer(MetricContext) - Static method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

optimizer() - Static method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

optimizer(MetricContext) - Static method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

optimizer(int) - Static method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

optimizer(MetricContext) - Static method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

optimizer(int, MetricContext) - Static method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

org.hawkular.datamining.forecast - package org.hawkular.datamining.forecast

org.hawkular.datamining.forecast.models - package org.hawkular.datamining.forecast.models

org.hawkular.datamining.forecast.stats - package org.hawkular.datamining.forecast.stats

org.hawkular.datamining.forecast.utils - package org.hawkular.datamining.forecast.utils

P

PeriodicIntervalStrategy(int) - Constructor for class org.hawkular.datamining.forecast.AutomaticForecaster.PeriodicIntervalStrategy

periods - Variable in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing.TripleExState

periods(List<DataPoint>) - Static method in class org.hawkular.datamining.forecast.utils.AutomaticPeriodIdentification

periods(List<DataPoint>, double) - Static method in class org.hawkular.datamining.forecast.utils.AutomaticPeriodIdentification

PredictionIntervalMultipliers - Class in org.hawkular.datamining.forecast

PredictionResult(double) - Constructor for class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing.PredictionResult

PredictionResult(double, double) - Constructor for class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing.PredictionResult

pValue() - Method in class org.hawkular.datamining.forecast.stats.AugmentedDickeyFullerTest

R

random() - Method in class org.hawkular.datamining.forecast.utils.AdditiveSeasonalDecomposition

random() - Method in interface org.hawkular.datamining.forecast.utils.TimeSeriesDecomposition

result - Variable in class org.hawkular.datamining.forecast.models.AbstractModelOptimizer

result() - Method in class org.hawkular.datamining.forecast.models.AbstractModelOptimizer

result() - Method in interface org.hawkular.datamining.forecast.models.ModelOptimizer

runStatistics() - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

runStatistics() - Method in class org.hawkular.datamining.forecast.models.ContinuousModel

runStatistics() - Method in interface org.hawkular.datamining.forecast.models.TimeSeriesModel

S

sdOfResiduals - Variable in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing.PredictionResult

seasonal() - Method in class org.hawkular.datamining.forecast.utils.AdditiveSeasonalDecomposition

seasonal() - Method in interface org.hawkular.datamining.forecast.utils.TimeSeriesDecomposition

setCollectionInterval(Long) - Method in class org.hawkular.datamining.forecast.ImmutableMetricContext

setCollectionInterval(Long) - Method in interface org.hawkular.datamining.forecast.MetricContext

setConceptDriftStrategy(AutomaticForecaster.ConceptDriftStrategy) - Method in class org.hawkular.datamining.forecast.Forecaster.Config

setConfidenceInterval(int) - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

setError(AccuracyStatistics) - Method in class org.hawkular.datamining.forecast.AutomaticForecaster.ErrorChangeStrategy

setIc(InformationCriterion) - Method in class org.hawkular.datamining.forecast.Forecaster.Config

setModelToUse(Model) - Method in class org.hawkular.datamining.forecast.Forecaster.Config

setPeriod(Integer) - Method in class org.hawkular.datamining.forecast.Forecaster.Config

setPeriods(Integer) - Method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing.TripleExOptimizer

setWindowsSize(int) - Method in class org.hawkular.datamining.forecast.Forecaster.Config

shouldSelectNewModel(int) - Method in class org.hawkular.datamining.forecast.AutomaticForecaster.ConceptDriftStrategy

shouldSelectNewModel(int) - Method in class org.hawkular.datamining.forecast.AutomaticForecaster.ErrorChangeStrategy

shouldSelectNewModel(int) - Method in class org.hawkular.datamining.forecast.AutomaticForecaster.PeriodicIntervalStrategy

SimpleExOptimizer(MetricContext) - Constructor for class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing.SimpleExOptimizer

SimpleExponentialSmoothing - Class in org.hawkular.datamining.forecast.models

Simple exponential smoothing Works well for stationary data when there is no trend in data.

SimpleExponentialSmoothing.SimpleExOptimizer - Class in org.hawkular.datamining.forecast.models

SimpleExponentialSmoothing.State - Class in org.hawkular.datamining.forecast.models

SimpleMovingAverage - Class in org.hawkular.datamining.forecast.models

Simple moving average model, often used for trend estimating

SimpleMovingAverage(List<DataPoint>, int, boolean) - Constructor for class org.hawkular.datamining.forecast.models.SimpleMovingAverage

slope - Variable in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing.DoubleExState

standardDeviation(Double[]) - Static method in class org.hawkular.datamining.forecast.utils.Utils

state() - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

state() - Method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

state() - Method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

State(double) - Constructor for class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing.State

state() - Method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

statistics() - Method in class org.hawkular.datamining.forecast.stats.AugmentedDickeyFullerTest

T

TimeSeriesDecomposition - Interface in org.hawkular.datamining.forecast.utils

TimeSeriesDifferencing - Class in org.hawkular.datamining.forecast.utils

Time series differencing

TimeSeriesLag - Class in org.hawkular.datamining.forecast.utils

Compute a lagged version of a time series

TimeSeriesModel - Interface in org.hawkular.datamining.forecast.models

Basic interface for time series model

TimeSeriesModel.TimestampComparator - Class in org.hawkular.datamining.forecast.models

TimestampComparator() - Constructor for class org.hawkular.datamining.forecast.models.TimeSeriesModel.TimestampComparator

toArray(List<DataPoint>) - Static method in class org.hawkular.datamining.forecast.utils.Utils

Converts list of data points to array of values

toString() - Method in class org.hawkular.datamining.forecast.DataPoint

toString() - Method in class org.hawkular.datamining.forecast.ImmutableMetricContext

toString() - Method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

toString() - Method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

toString() - Method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

toString() - Method in class org.hawkular.datamining.forecast.stats.AccuracyStatistics

toString() - Method in class org.hawkular.datamining.forecast.stats.InformationCriterionHolder

trend() - Method in class org.hawkular.datamining.forecast.utils.AdditiveSeasonalDecomposition

trend() - Method in interface org.hawkular.datamining.forecast.utils.TimeSeriesDecomposition

TripleExOptimizer() - Constructor for class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing.TripleExOptimizer

TripleExOptimizer(MetricContext) - Constructor for class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing.TripleExOptimizer

TripleExOptimizer(Integer, MetricContext) - Constructor for class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing.TripleExOptimizer

TripleExponentialSmoothing - Class in org.hawkular.datamining.forecast.models

Triple exponential smoothing model also known as Holt-Winters model.

TripleExponentialSmoothing.TripleExOptimizer - Class in org.hawkular.datamining.forecast.models

TripleExponentialSmoothing.TripleExState - Class in org.hawkular.datamining.forecast.models

TripleExState(double, double, double[], long) - Constructor for class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing.TripleExState

U

update(Forecaster.Update) - Method in class org.hawkular.datamining.forecast.AutomaticForecaster

update() - Method in class org.hawkular.datamining.forecast.Forecaster.Config

update(Forecaster.Update) - Method in class org.hawkular.datamining.forecast.Forecaster.Config

update(Forecaster.Update) - Method in interface org.hawkular.datamining.forecast.Forecaster

Update(Integer, Model, InformationCriterion, AutomaticForecaster.ConceptDriftStrategy, Integer) - Constructor for class org.hawkular.datamining.forecast.Forecaster.Update

updateState(DataPoint) - Method in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing

updateState(DataPoint) - Method in class org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing

updateState(DataPoint) - Method in class org.hawkular.datamining.forecast.models.SimpleExponentialSmoothing

updateState(DataPoint) - Method in class org.hawkular.datamining.forecast.models.TripleExponentialSmoothing

Utils - Class in org.hawkular.datamining.forecast.utils

V

value - Variable in class org.hawkular.datamining.forecast.models.AbstractExponentialSmoothing.PredictionResult

valueOf(String) - Static method in enum org.hawkular.datamining.forecast.AutomaticForecaster.ErrorChangeStrategy.Statistics

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.hawkular.datamining.forecast.models.Model

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.hawkular.datamining.forecast.stats.AugmentedDickeyFullerTest.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.hawkular.datamining.forecast.stats.InformationCriterion

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.hawkular.datamining.forecast.AutomaticForecaster.ErrorChangeStrategy.Statistics

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.hawkular.datamining.forecast.models.Model

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.hawkular.datamining.forecast.stats.AugmentedDickeyFullerTest.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.hawkular.datamining.forecast.stats.InformationCriterion

Returns an array containing the constants of this enum type, in the order they are declared.

W

WeightedMovingAverage - Class in org.hawkular.datamining.forecast.models

Weighted moving average model, variant of Moving average model.

WeightedMovingAverage(List<DataPoint>, double[]) - Constructor for class org.hawkular.datamining.forecast.models.WeightedMovingAverage

withConceptDriftStrategy(AutomaticForecaster.ConceptDriftStrategy) - Method in class org.hawkular.datamining.forecast.Forecaster.Config.Builder

withConceptDriftStrategy(AutomaticForecaster.ConceptDriftStrategy) - Method in class org.hawkular.datamining.forecast.Forecaster.Update.Builder

withInformationCriterion(InformationCriterion) - Method in class org.hawkular.datamining.forecast.Forecaster.Config.Builder

withInformationCriterion(InformationCriterion) - Method in class org.hawkular.datamining.forecast.Forecaster.Update.Builder

withModelToUse(Model) - Method in class org.hawkular.datamining.forecast.Forecaster.Update.Builder

withModelToUser(Model) - Method in class org.hawkular.datamining.forecast.Forecaster.Config.Builder

withPeriod(Integer) - Method in class org.hawkular.datamining.forecast.Forecaster.Config.Builder

withPeriod(Integer) - Method in class org.hawkular.datamining.forecast.Forecaster.Update.Builder

withWindowSize(int) - Method in class org.hawkular.datamining.forecast.Forecaster.Config.Builder

withWindowSize(Integer) - Method in class org.hawkular.datamining.forecast.Forecaster.Update.Builder

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