object ImputeMovingAvg extends Imputation
The ImputeMovingAvg object imputes missing values using the moving average.
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DAMPEN: Double
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DEBUG: Boolean
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dist: Int
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eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
findLastMissing(x: VectoD, i: Int = -1): (Int, Double)
Return the index of last missing value in vector 'x' from index 'i' and the new imputed value.
Return the index of last missing value in vector 'x' from index 'i' and the new imputed value.
- x
the vector with missing values
- i
the starting index to look for missing value
- Attributes
- protected
- Definition Classes
- Imputation
-
def
findMissing(x: VectoD, i: Int = 0): (Int, Double)
Return the index of first missing value in vector 'x' from index 'i' and the new imputed value.
Return the index of first missing value in vector 'x' from index 'i' and the new imputed value.
- x
the vector with missing values
- i
the starting index to look for missing value
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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def
impute(x: MatriD): MatriD
Replace all missing values in matrix 'x' with imputed values.
Replace all missing values in matrix 'x' with imputed values. Will change the values in matrix 'x'. Make a copy to preserve values 'x.copy ()'.
- x
the matrix with missing values
- Definition Classes
- Imputation
-
def
impute(x: VectoD, i: Int = 0): (Int, Double)
Impute a value for the first missing value in vector 'x' from index 'i'.
Impute a value for the first missing value in vector 'x' from index 'i'. The type (Int, Double) returns (vector index for imputation, imputed value). Does not modify the vector.
- x
the vector with missing values
- i
the starting index to look for missing values
- Definition Classes
- Imputation
-
def
imputeAll(x: VectoD): VectoD
Replace all missing values in vector 'x' with imputed values.
Replace all missing values in vector 'x' with imputed values. Will change the values in vector 'x'. Make a copy to preserve values 'x.copy ()'.
- x
the vector with missing values
- Definition Classes
- Imputation
-
def
imputeAt(x: VectoD, i: Int): Double
Impute a value for the first missing value in vector 'x' from index 'i' using the moving average of the last 'dist' values.
Impute a value for the first missing value in vector 'x' from index 'i' using the moving average of the last 'dist' values.
- x
the vector with missing values
- i
the starting index to look for missing values
- Definition Classes
- ImputeMovingAvg → Imputation
-
def
imputeCol(c: Vec, i: Int = 0): (Int, Any)
Impute a value for the first missing value in column 'c' from index 'i'.
Impute a value for the first missing value in column 'c' from index 'i'. The type (Int, Double) returns (vector index for imputation, imputed value). Does not modify the column.
- c
the column with missing values
- i
the starting index to look for missing values
- Definition Classes
- Imputation
-
final
def
isInstanceOf[T0]: Boolean
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val
missVal: Double
- Attributes
- protected
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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-
def
nextVal(x: VectoD, i: Int): Double
Return the next non-missing value in vector 'x' from index 'i'.
Return the next non-missing value in vector 'x' from index 'i'.
- x
the vector to be searched for a non-missing value
- i
the starting index to look for non-missing value
- Attributes
- protected
- Definition Classes
- Imputation
-
def
normalMedian(mu: Double, sig2: Double): Double
Return the median of three normally distributed random numbers.
Return the median of three normally distributed random numbers.
- mu
the mean
- sig2
the variance
- Attributes
- protected
- Definition Classes
- Imputation
-
final
def
notify(): Unit
- Definition Classes
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- @native() @HotSpotIntrinsicCandidate()
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final
def
notifyAll(): Unit
- Definition Classes
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- @native() @HotSpotIntrinsicCandidate()
-
def
prevVal(x: VectoD, i: Int): Double
Return the previous non-missing value in vector 'x' from index 'i'.
Return the previous non-missing value in vector 'x' from index 'i'.
- x
the vector to be searched (backwards) for a non-missing value
- i
the starting index to look for non-missing value
- Attributes
- protected
- Definition Classes
- Imputation
-
val
q: Int
- Attributes
- protected
- Definition Classes
- Imputation
-
def
setDist(dist_: Int): Unit
Set the distance 'dist' to the new value 'dist_'.
Set the distance 'dist' to the new value 'dist_'.
- dist_
the new value for the distance
- Definition Classes
- Imputation
-
def
setMissVal(missVal_: Double): Unit
Set the missing value 'missVal' to the new missing value indicator 'missVal_'.
Set the missing value 'missVal' to the new missing value indicator 'missVal_'.
- missVal_
the new missing value indicator
- Definition Classes
- Imputation
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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finalize(): Unit
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Inherited from Imputation
Value Members
-
val
DAMPEN: Double
- Attributes
- protected
- Definition Classes
- Imputation
-
val
DEBUG: Boolean
- Attributes
- protected
- Definition Classes
- Imputation
-
val
dist: Int
- Attributes
- protected
- Definition Classes
- Imputation
-
def
findLastMissing(x: VectoD, i: Int = -1): (Int, Double)
Return the index of last missing value in vector 'x' from index 'i' and the new imputed value.
Return the index of last missing value in vector 'x' from index 'i' and the new imputed value.
- x
the vector with missing values
- i
the starting index to look for missing value
- Attributes
- protected
- Definition Classes
- Imputation
-
def
findMissing(x: VectoD, i: Int = 0): (Int, Double)
Return the index of first missing value in vector 'x' from index 'i' and the new imputed value.
Return the index of first missing value in vector 'x' from index 'i' and the new imputed value.
- x
the vector with missing values
- i
the starting index to look for missing value
- Attributes
- protected
- Definition Classes
- Imputation
-
def
impute(x: MatriD): MatriD
Replace all missing values in matrix 'x' with imputed values.
Replace all missing values in matrix 'x' with imputed values. Will change the values in matrix 'x'. Make a copy to preserve values 'x.copy ()'.
- x
the matrix with missing values
- Definition Classes
- Imputation
-
def
impute(x: VectoD, i: Int = 0): (Int, Double)
Impute a value for the first missing value in vector 'x' from index 'i'.
Impute a value for the first missing value in vector 'x' from index 'i'. The type (Int, Double) returns (vector index for imputation, imputed value). Does not modify the vector.
- x
the vector with missing values
- i
the starting index to look for missing values
- Definition Classes
- Imputation
-
def
imputeAll(x: VectoD): VectoD
Replace all missing values in vector 'x' with imputed values.
Replace all missing values in vector 'x' with imputed values. Will change the values in vector 'x'. Make a copy to preserve values 'x.copy ()'.
- x
the vector with missing values
- Definition Classes
- Imputation
-
def
imputeCol(c: Vec, i: Int = 0): (Int, Any)
Impute a value for the first missing value in column 'c' from index 'i'.
Impute a value for the first missing value in column 'c' from index 'i'. The type (Int, Double) returns (vector index for imputation, imputed value). Does not modify the column.
- c
the column with missing values
- i
the starting index to look for missing values
- Definition Classes
- Imputation
-
val
missVal: Double
- Attributes
- protected
- Definition Classes
- Imputation
-
def
nextVal(x: VectoD, i: Int): Double
Return the next non-missing value in vector 'x' from index 'i'.
Return the next non-missing value in vector 'x' from index 'i'.
- x
the vector to be searched for a non-missing value
- i
the starting index to look for non-missing value
- Attributes
- protected
- Definition Classes
- Imputation
-
def
normalMedian(mu: Double, sig2: Double): Double
Return the median of three normally distributed random numbers.
Return the median of three normally distributed random numbers.
- mu
the mean
- sig2
the variance
- Attributes
- protected
- Definition Classes
- Imputation
-
def
prevVal(x: VectoD, i: Int): Double
Return the previous non-missing value in vector 'x' from index 'i'.
Return the previous non-missing value in vector 'x' from index 'i'.
- x
the vector to be searched (backwards) for a non-missing value
- i
the starting index to look for non-missing value
- Attributes
- protected
- Definition Classes
- Imputation
-
val
q: Int
- Attributes
- protected
- Definition Classes
- Imputation
-
def
setDist(dist_: Int): Unit
Set the distance 'dist' to the new value 'dist_'.
Set the distance 'dist' to the new value 'dist_'.
- dist_
the new value for the distance
- Definition Classes
- Imputation
-
def
setMissVal(missVal_: Double): Unit
Set the missing value 'missVal' to the new missing value indicator 'missVal_'.
Set the missing value 'missVal' to the new missing value indicator 'missVal_'.
- missVal_
the new missing value indicator
- Definition Classes
- Imputation
Inherited from AnyRef
Value Members
-
final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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def
==(arg0: Any): Boolean
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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-
def
equals(arg0: Any): Boolean
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-
final
def
getClass(): Class[_]
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- @native() @HotSpotIntrinsicCandidate()
-
def
hashCode(): Int
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- @native() @HotSpotIntrinsicCandidate()
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final
def
ne(arg0: AnyRef): Boolean
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-
final
def
notify(): Unit
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- @native() @HotSpotIntrinsicCandidate()
-
final
def
notifyAll(): Unit
- Definition Classes
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- @native() @HotSpotIntrinsicCandidate()
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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final
def
wait(arg0: Long, arg1: Int): Unit
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-
final
def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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finalize(): Unit
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final
def
!=(arg0: Any): Boolean
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-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
val
DAMPEN: Double
- Attributes
- protected
- Definition Classes
- Imputation
-
val
DEBUG: Boolean
- Attributes
- protected
- Definition Classes
- Imputation
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
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-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native() @HotSpotIntrinsicCandidate()
-
val
dist: Int
- Attributes
- protected
- Definition Classes
- Imputation
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
findLastMissing(x: VectoD, i: Int = -1): (Int, Double)
Return the index of last missing value in vector 'x' from index 'i' and the new imputed value.
Return the index of last missing value in vector 'x' from index 'i' and the new imputed value.
- x
the vector with missing values
- i
the starting index to look for missing value
- Attributes
- protected
- Definition Classes
- Imputation
-
def
findMissing(x: VectoD, i: Int = 0): (Int, Double)
Return the index of first missing value in vector 'x' from index 'i' and the new imputed value.
Return the index of first missing value in vector 'x' from index 'i' and the new imputed value.
- x
the vector with missing values
- i
the starting index to look for missing value
- Attributes
- protected
- Definition Classes
- Imputation
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
def
impute(x: MatriD): MatriD
Replace all missing values in matrix 'x' with imputed values.
Replace all missing values in matrix 'x' with imputed values. Will change the values in matrix 'x'. Make a copy to preserve values 'x.copy ()'.
- x
the matrix with missing values
- Definition Classes
- Imputation
-
def
impute(x: VectoD, i: Int = 0): (Int, Double)
Impute a value for the first missing value in vector 'x' from index 'i'.
Impute a value for the first missing value in vector 'x' from index 'i'. The type (Int, Double) returns (vector index for imputation, imputed value). Does not modify the vector.
- x
the vector with missing values
- i
the starting index to look for missing values
- Definition Classes
- Imputation
-
def
imputeAll(x: VectoD): VectoD
Replace all missing values in vector 'x' with imputed values.
Replace all missing values in vector 'x' with imputed values. Will change the values in vector 'x'. Make a copy to preserve values 'x.copy ()'.
- x
the vector with missing values
- Definition Classes
- Imputation
-
def
imputeAt(x: VectoD, i: Int): Double
Impute a value for the first missing value in vector 'x' from index 'i' using the moving average of the last 'dist' values.
Impute a value for the first missing value in vector 'x' from index 'i' using the moving average of the last 'dist' values.
- x
the vector with missing values
- i
the starting index to look for missing values
- Definition Classes
- ImputeMovingAvg → Imputation
-
def
imputeCol(c: Vec, i: Int = 0): (Int, Any)
Impute a value for the first missing value in column 'c' from index 'i'.
Impute a value for the first missing value in column 'c' from index 'i'. The type (Int, Double) returns (vector index for imputation, imputed value). Does not modify the column.
- c
the column with missing values
- i
the starting index to look for missing values
- Definition Classes
- Imputation
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
val
missVal: Double
- Attributes
- protected
- Definition Classes
- Imputation
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
nextVal(x: VectoD, i: Int): Double
Return the next non-missing value in vector 'x' from index 'i'.
Return the next non-missing value in vector 'x' from index 'i'.
- x
the vector to be searched for a non-missing value
- i
the starting index to look for non-missing value
- Attributes
- protected
- Definition Classes
- Imputation
-
def
normalMedian(mu: Double, sig2: Double): Double
Return the median of three normally distributed random numbers.
Return the median of three normally distributed random numbers.
- mu
the mean
- sig2
the variance
- Attributes
- protected
- Definition Classes
- Imputation
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
def
prevVal(x: VectoD, i: Int): Double
Return the previous non-missing value in vector 'x' from index 'i'.
Return the previous non-missing value in vector 'x' from index 'i'.
- x
the vector to be searched (backwards) for a non-missing value
- i
the starting index to look for non-missing value
- Attributes
- protected
- Definition Classes
- Imputation
-
val
q: Int
- Attributes
- protected
- Definition Classes
- Imputation
-
def
setDist(dist_: Int): Unit
Set the distance 'dist' to the new value 'dist_'.
Set the distance 'dist' to the new value 'dist_'.
- dist_
the new value for the distance
- Definition Classes
- Imputation
-
def
setMissVal(missVal_: Double): Unit
Set the missing value 'missVal' to the new missing value indicator 'missVal_'.
Set the missing value 'missVal' to the new missing value indicator 'missVal_'.
- missVal_
the new missing value indicator
- Definition Classes
- Imputation
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] ) @Deprecated
- Deprecated