trait Forecaster extends Error
The Forecaster
trait provides a common framework for several forecasters.
Note, the 'train' method must be called first followed by 'eval'.
- Alphabetic
- By Inheritance
- Forecaster
- Error
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Abstract Value Members
-
abstract
def
eval(): Unit
Compute the error and useful diagnostics for the entire dataset.
-
abstract
def
forecast(h: Int): VectoD
Produce forecasts for 'h' steps ahead into the future
Produce forecasts for 'h' steps ahead into the future
- h
the forecasting horizon, number of steps ahead to produce forecasts
-
abstract
def
predict(): VectoD
Return the vector of predicted values on the training data
-
abstract
def
train(): Forecaster
Given a time series 'y', train the prediction function 'y = f(y_)', where 'f(y_)' is a function of the lagged values of 'y', by fitting its parameters.
Concrete Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @native() @throws( ... )
-
def
diagnose(yy: VectoD, ee: VectoD): Unit
Compute diagnostics for the forecaster.
Compute diagnostics for the forecaster. Override to add more diagnostics. Note, for 'mse' and 'rmse', 'sse' is divided by the number of instances 'm' rather than the degrees of freedom.
- yy
the response vector, actual values
- ee
the residual/error vector
- Attributes
- protected
- See also
en.wikipedia.org/wiki/Mean_squared_error
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
f_(z: Double): String
Format a double value.
Format a double value.
- z
the double value to format
-
def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
def
fit: VectoD
Return the quality of fit including 'sst', 'sse', 'mae', rmse' and 'rSq'.
Return the quality of fit including 'sst', 'sse', 'mae', rmse' and 'rSq'. Note, if 'sse > sst', the model introduces errors and the 'rSq' may be negative, otherwise, R^2 ('rSq') ranges from 0 (weak) to 1 (strong). Note that 'rSq' is the last or number 5 measure. Override to add more quality of fit measures.
-
def
fitLabel: Seq[String]
Return the labels for the fit.
Return the labels for the fit. Override when necessary.
-
def
fitMap: Map[String, String]
Build a map of quality of fit measures (use of
LinedHashMap
makes it ordered).Build a map of quality of fit measures (use of
LinedHashMap
makes it ordered). Override to add more quality of fit measures. -
final
def
flaw(method: String, message: String): Unit
- Definition Classes
- Error
-
def
forecast(): VectoD
Produce forecasts for one step ahead into the future
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- val index_rSq: Int
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
val
mae: Double
- Attributes
- protected
-
val
mape: Double
- Attributes
- protected
-
val
mse: Double
- Attributes
- protected
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
val
rSq: Double
- Attributes
- protected
-
val
rmse: Double
- Attributes
- protected
-
val
sse: Double
- Attributes
- protected
-
val
ssr: Double
- Attributes
- protected
-
val
sst: Double
- Attributes
- protected
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @throws( ... )