IBM InfoSphere Streams Version 4.1.1
Operators: com.ibm.streams.timeseries 3.2.0
Operators
- ARIMA
- DEPRECATED: The com.ibm.streams.timeseries.modeling.ARIMA operator is deprecated and is replaced by the com.ibm.streams.timeseries.modeling.ARIMA2 operator. The deprecated operator might be removed in a future release. The ARIMA operator implements the autoregressive integrated moving average (ARIMA) modeling algorithm.
- ARIMA2
- The ARIMA2 operator implements the autoregressive integrated moving average (ARIMA) modeling algorithm.
- AnomalyDetector
- The AnomalyDetector operator can detect anomalous subsequences in an incoming data stream.
- AutoForecaster
- DEPRECATED: The com.ibm.streams.timeseries.modeling.AutoForecaster operator is deprecated and is replaced by the com.ibm.streams.timeseries.modeling.AutoForecaster2 operator. The deprecated operator might be removed in a future release. The AutoForecaster operator is a forecasting operator, which detects the algorithm that best suits the input time series data in real time and forecasts future time series.
- AutoForecaster2
- The AutoForecaster2 operator is a forecasting operator, which detects the algorithm that best suits the input time series data in real time and forecasts future time series.
- CrossCorrelate
- DEPRECATED: The com.ibm.streams.timeseries.analysis.CrossCorrelate operator is deprecated and is replaced by the com.ibm.streams.timeseries.analysis.CrossCorrelate2 operator. The deprecated operator might be removed in a future release. In signal processing, cross-correlation is a measure of similarity of two time series as a function of a time-lag applied to one of them.
- CrossCorrelate2
- In signal processing, cross-correlation is a measure of similarity of two time series as a function of a time-lag applied to one of them.
- CrossCorrelateMulti
- In signal processing, cross-correlation is a measure of similarity of two time series as a function of a time-lag applied to one of them.
- DSPFilter
- DEPRECATED: The com.ibm.streams.timeseries.analysis.DSPFilter operator is deprecated and is replaced by the com.ibm.streams.timeseries.analysis.DSPFilter2 operator. The deprecated operator might be removed in a future release. The Digital Signal Processing (DSP) filter operator performs a digital filtering operation on an input time series.
- DSPFilter2
- The Digital Signal Processing (DSP) filter operator performs a digital filtering operation on an input time series.
- DSPFilterFinite
- The Digital Signal Processing (DSP) filter operator performs a digital filtering operation on an input time series.
- DWT
- DEPRECATED: The com.ibm.streams.timeseries.analysis.DWT operator is deprecated and is replaced by the com.ibm.streams.timeseries.analysis.DWT2 operator. The deprecated operator might be removed in a future release.
- DWT2
- The DWT2 operator applies a discrete wavelet transform (DWT) on a vector time series.
- Distribution
- The Distribution operator calculates the quartile distribution for an input time series.
- FFT
- The FFT operator applies a Fast Fourier transform (FFT) algorithm to a time series.
- FMPFilter
- The FMPFilter operator is an adaptive faded-memory polynomial filter.
- FunctionEvaluator
- The FunctionEvaluator operator applies a function to each value in a time series.
- GAMLearner
- The GAMLearner operator applies the generalized additive model (GAM) algorithm to categorical or continuous time series data.
- GAMScorer
- The GAMScorer operator applies a generalized additive model to score the input time series values.
- GMM
- The GMM operator uses a Gaussian mixture model to estimate the probability density function (a smoothed histogram) of a time series.
- Generator
- The Generator operator generates a sine, triangular, sawtooth, or a pulse train representation of a time series.
- HoltWinters
- DEPRECATED: The com.ibm.streams.timeseries.modeling.HoltWinters operator is deprecated and is replaced by the com.ibm.streams.timeseries.modeling.HoltWinters2 operator. The deprecated operator might be removed in a future release. The HoltWinters operator is a forecasting operator, which uses the Holt-Winters algorithm to do long-term forecasting.
- HoltWinters2
- The HoltWinters2 operator is a forecasting operator, which uses the Holt-Winters algorithm to do long-term forecasting.
- IncrementalInterpolate
- The IncrementalInterpolate operator calculates missing values in a time series.
- KMeansClustering
- Cluster analysis is a popular technique used to find natural grouping of a set of objects.
- Kalman
- The Kalman operator runs an adaptive filter on a time series and can used for tracking, smoothing, adaptation.
- LPC
- The Linear Predictive Coding (LPC) operator uses an autoregressive (AR) model to predict values in a time series.
- Normalize
- The Normalize operator incrementally estimates the means and variance and can normalize the time series to zero means and unit variance.
- PSAX
- The Piecewise and Aggregate operator, PSAX provides a symbolic representation of a real-valued time series data by transforming an input time series into an intermediate Piecewise Aggregate Approximation (PAA) representation and symbolizing the PAA representation into a discrete string.
- RLSFilter
- The Recursive Least Squares (RLS) is linear regression estimation algorithm that learns to predict a target time series, given inputs.
- ReSample
- The ReSample operator changes the sampling rate of a time series.
- STD
- DEPRECATED: The com.ibm.streams.timeseries.analysis.STD operator is deprecated and is replaced by the com.ibm.streams.timeseries.analysis.STD2 operator. The deprecated operator might be removed in a future release. The seasonal trend decomposition (STD) operator transforms an input time series into three time series that represent the season, the trend, and the residuals.
- STD2
- The Seasonal Trend Decomposition (STD) operator uses the Loess algorithm to decompose an input time series into three components: the season, the trend and the residuals.
- TSWindowing
- The TSWindowing operator can be used to isolate a portion of the signal in a specified duration.
- VAR
- DEPRECATED: The com.ibm.streams.timeseries.modeling.VAR operator is deprecated and is replaced by the com.ibm.streams.timeseries.modeling.VAR2 operator. The deprecated operator might be removed in a future release.
- VAR2
- The VAR2 operator tracks data movement and predicts the next expected time series by using a multivariate autoregressive model.