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