forked from kscience/kmath
Fix examples
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@ -5,6 +5,7 @@
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package space.kscience.kmath.tensors
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package space.kscience.kmath.tensors
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import space.kscience.kmath.operations.invoke
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import space.kscience.kmath.tensors.core.DoubleTensor
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import space.kscience.kmath.tensors.core.DoubleTensor
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import space.kscience.kmath.tensors.core.algebras.DoubleLinearOpsTensorAlgebra
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import space.kscience.kmath.tensors.core.algebras.DoubleLinearOpsTensorAlgebra
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@ -13,7 +14,7 @@ import space.kscience.kmath.tensors.core.algebras.DoubleLinearOpsTensorAlgebra
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fun main () {
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fun main () {
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// work in context with linear operations
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// work in context with linear operations
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DoubleLinearOpsTensorAlgebra {
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DoubleLinearOpsTensorAlgebra.invoke {
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// set true value of x
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// set true value of x
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val trueX = fromArray(
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val trueX = fromArray(
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@ -5,6 +5,7 @@
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package space.kscience.kmath.tensors
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package space.kscience.kmath.tensors
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import space.kscience.kmath.operations.invoke
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import space.kscience.kmath.tensors.core.DoubleTensor
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import space.kscience.kmath.tensors.core.DoubleTensor
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import space.kscience.kmath.tensors.core.algebras.DoubleAnalyticTensorAlgebra
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import space.kscience.kmath.tensors.core.algebras.DoubleAnalyticTensorAlgebra
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import space.kscience.kmath.tensors.core.algebras.DoubleLinearOpsTensorAlgebra
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import space.kscience.kmath.tensors.core.algebras.DoubleLinearOpsTensorAlgebra
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@ -18,7 +19,7 @@ fun main() {
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val randSeed = 100500L
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val randSeed = 100500L
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// work in context with linear operations
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// work in context with linear operations
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DoubleLinearOpsTensorAlgebra {
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DoubleLinearOpsTensorAlgebra.invoke {
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// take coefficient vector from normal distribution
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// take coefficient vector from normal distribution
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val alpha = randNormal(
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val alpha = randNormal(
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intArrayOf(5),
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intArrayOf(5),
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