class NullModel extends Predictor with Error
The NullModel
class implements the simplest type of predictive modeling technique
that just predicts the response 'y' to be the mean.
Fit the parameter vector 'b' in the regression equation
y = b dot x + e = b0 + e
where 'e' represents the residuals (the part not explained by the model).
- Alphabetic
- By Inheritance
- NullModel
- Error
- Predictor
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Instance Constructors
-
new
NullModel(y: VectoD)
- y
the response vector
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
-
val
b: VectoD
- Attributes
- protected
- Definition Classes
- Predictor
-
def
build(x: MatriD, y: VectoD): Predictor
- Definition Classes
- Predictor
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @native() @throws( ... )
-
def
coefficient: VectoD
Return the vector of coefficient/parameter values.
Return the vector of coefficient/parameter values.
- Definition Classes
- Predictor
-
def
diagnose(yy: VectoD): Unit
Compute diagostics for the regression model.
-
val
e: VectoD
- Attributes
- protected
- Definition Classes
- Predictor
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
eval(yy: VectoD = y): Unit
Compute the error and useful diagnostics.
-
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.
-
def
fitLabels: Seq[String]
Return the labels for the fit.
-
final
def
flaw(method: String, message: String): Unit
- Definition Classes
- Error
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
val
index_rSq: Int
- Definition Classes
- Predictor
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
val
mae: Double
- Attributes
- protected
- Definition Classes
- Predictor
-
def
metrics: Map[String, Any]
Build a map of selected quality of fit measures/metrics.
Build a map of selected quality of fit measures/metrics.
- Definition Classes
- Predictor
-
val
mse: Double
- Attributes
- protected
- Definition Classes
- Predictor
-
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()
-
def
predict(z: VectoD): Double
Predict the value of 'y = f(z)' by evaluating the formula 'y = b dot z', i.e., '[b0] dot [z0]'.
-
def
predict(z: VectoI): Double
Given a new discrete data vector z, predict the y-value of f(z).
Given a new discrete data vector z, predict the y-value of f(z).
- z
the vector to use for prediction
- Definition Classes
- Predictor
-
val
rSq: Double
- Attributes
- protected
- Definition Classes
- Predictor
-
def
residual: VectoD
Return the vector of residuals/errors.
Return the vector of residuals/errors.
- Definition Classes
- Predictor
-
val
rmse: Double
- Attributes
- protected
- Definition Classes
- Predictor
-
val
sse: Double
- Attributes
- protected
- Definition Classes
- Predictor
-
val
ssr: Double
- Attributes
- protected
- Definition Classes
- Predictor
-
val
sst: Double
- Attributes
- protected
- Definition Classes
- Predictor
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
def
train(yy: VectoD = y): NullModel
Train the predictor by fitting the parameter vector (b-vector) in the simpler regression equation
-
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( ... )