forked from kscience/kmath
fix error in usage docs
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# Module kmath-noa
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# Module kmath-noa
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A Bayesian computation library over
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A general purpose differentiable computation library over
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[NOA](https://github.com/grinisrit/noa.git)
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[NOA](https://github.com/grinisrit/noa.git)
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together with relevant functionality from
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together with relevant functionality from
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[LibTorch](https://pytorch.org/cppdocs).
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[LibTorch](https://pytorch.org/cppdocs).
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Our aim is to cover a wide set of applications
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Our aim is to cover a wide set of applications
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from deep learning to particle physics
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from bayesian optimisation and deep learning to particle physics
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simulations. In fact, we support any
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simulations. In fact, we support any
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differentiable program written on top of
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differentiable program written on top of
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`AutoGrad` & `ATen`.
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`AutoGrad` & `ATen`.
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@ -40,7 +40,7 @@ dependencies {
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```
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```
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To load the native library you will need to add to the VM options:
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To load the native library you will need to add to the VM options:
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```
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```
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-Djava.library.path=${HOME}/.konan/third-party/noa-v0.0.1/cpp-build/kmath
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-Djava.library.path=${HOME}/.konan/third-party/noa-v0.0.1/cpp-build/jnoa
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```
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```
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## Usage
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## Usage
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