Forecaster_RegV

scalation.modeling.forecasting.multivar.Forecaster_RegV
See theForecaster_RegV companion class

The Forecaster_RegV object supports regression for Multivariate Time Series data. Given a response matrix y, a predictor matrix x is built that consists of lagged y vectors. Additional future response vectors are built for training. y_t = b dot x where x = [y_{t-1}, y_{t-2}, ... y_{t-lag}].

Attributes

Companion
class
Graph
Supertypes
class Object
trait Matchable
class Any
Self type

Members list

Value members

Concrete methods

def plotAll(y: MatrixD, yp: MatrixD, name: String): Unit

Plot actual vs. predicted values for all variables (columns of the matrices).

Plot actual vs. predicted values for all variables (columns of the matrices).

Value parameters

name

the name of the model run to produce yp

y

the original un-expanded output/response matrix

yp

the predicted values (one-step ahead forecasts) matrix

Attributes