forked from kscience/kmath
fixes
This commit is contained in:
parent
8898f908ef
commit
7f8914d8ea
@ -9,16 +9,12 @@ import space.kscience.kmath.tensors.core.DoubleTensor
|
||||
|
||||
/**
|
||||
* Common algebra with statistics methods. Operates on [Tensor].
|
||||
*
|
||||
* @param T the type of items closed under division in the tensors.
|
||||
*/
|
||||
|
||||
public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
|
||||
|
||||
/**
|
||||
* Returns the minimum value of all elements in the input tensor.
|
||||
*
|
||||
* @return the minimum value of all elements in the input tensor.
|
||||
*/
|
||||
public fun Tensor<T>.min(): Double
|
||||
|
||||
@ -37,8 +33,6 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
|
||||
|
||||
/**
|
||||
* Returns the maximum value of all elements in the input tensor.
|
||||
*
|
||||
* @return the maximum value of all elements in the input tensor.
|
||||
*/
|
||||
public fun Tensor<T>.max(): Double
|
||||
|
||||
@ -57,8 +51,6 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
|
||||
|
||||
/**
|
||||
* Returns the sum of all elements in the input tensor.
|
||||
*
|
||||
* @return the sum of all elements in the input tensor.
|
||||
*/
|
||||
public fun Tensor<T>.sum(): Double
|
||||
|
||||
@ -77,8 +69,6 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
|
||||
|
||||
/**
|
||||
* Returns the mean of all elements in the input tensor.
|
||||
*
|
||||
* @return the mean of all elements in the input tensor.
|
||||
*/
|
||||
public fun Tensor<T>.mean(): Double
|
||||
|
||||
@ -97,8 +87,6 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
|
||||
|
||||
/**
|
||||
* Returns the standard deviation of all elements in the input tensor.
|
||||
*
|
||||
* @return the standard deviation of all elements in the input tensor.
|
||||
*/
|
||||
public fun Tensor<T>.std(): Double
|
||||
|
||||
@ -117,8 +105,6 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
|
||||
|
||||
/**
|
||||
* Returns the variance of all elements in the input tensor.
|
||||
*
|
||||
* @return the variance of all elements in the input tensor.
|
||||
*/
|
||||
public fun Tensor<T>.variance(): Double
|
||||
|
||||
@ -134,4 +120,5 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
|
||||
* @return the variance of each row of the input tensor in the given dimension [dim].
|
||||
*/
|
||||
public fun Tensor<T>.variance(dim: Int, keepDim: Boolean): DoubleTensor
|
||||
}
|
||||
|
||||
}
|
||||
|
@ -17,9 +17,8 @@ import space.kscience.kmath.tensors.core.algebras.DoubleStatisticTensorAlgebra.v
|
||||
|
||||
public object DoubleStatisticTensorAlgebra : StatisticTensorAlgebra<Double>, DoubleTensorAlgebra() {
|
||||
|
||||
private fun Tensor<Double>.fold(foldFunction: (DoubleArray) -> Double): Double {
|
||||
return foldFunction(this.tensor.toDoubleArray())
|
||||
}
|
||||
private fun Tensor<Double>.fold(foldFunction: (DoubleArray) -> Double): Double =
|
||||
foldFunction(this.tensor.toDoubleArray())
|
||||
|
||||
private fun Tensor<Double>.foldDim(
|
||||
foldFunction: (DoubleArray) -> Double,
|
||||
@ -102,4 +101,4 @@ public object DoubleStatisticTensorAlgebra : StatisticTensorAlgebra<Double>, Dou
|
||||
keepDim
|
||||
)
|
||||
|
||||
}
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user