Forecaster

scalation.modeling.forecasting_old.Forecaster
See theForecaster companion trait
object Forecaster

The Forecaster companion object provides methods useful for classes extending the Forecaster trait, i.e., forecasting models with a single input variable.

Attributes

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

Members list

Value members

Concrete methods

def differ(u: VectorD, v: VectorD, scale: Double, allow: Boolean): Int

Point out the differences between two vectors/time series.

Point out the differences between two vectors/time series.

Value parameters

allow

flag indicating whether allow (via assert) any differences

scale

the scale factor to set the tolerance 'tol'

u

the first vector/time series

v

the second vector/time series

Attributes

def evalForecasts(mod: Forecaster & Fit, y: VectorD, hh: Int, ints: Boolean): Unit

Evaluate the quality of point and optionally interval forecast for horizon (h = 1 to hh).

Evaluate the quality of point and optionally interval forecast for horizon (h = 1 to hh).

Value parameters

hh

the maximum forecasting horizon (h = 1 to hh)

ints

whether to evaluate prediction interval forecasts as well as point forecasts

mod

the forecasting model to be evaluated

y

the actual time series values

Attributes