57 lines
1.7 KiB
Nix
57 lines
1.7 KiB
Nix
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{ buildPythonPackage, fetchFromGitHub, fetchpatch, lib, pythonOlder
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, clang_7, python2
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, graphviz, matplotlib, numpy, pandas, plotly, scipy, six
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, withCuda ? false, cudatoolkit }:
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buildPythonPackage rec {
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pname = "catboost";
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version = "0.24.4";
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disabled = pythonOlder "3.4";
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src = fetchFromGitHub {
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owner = "catboost";
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repo = "catboost";
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rev = "v${version}";
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sha256 = "sha256-pzmwEiKziB4ldnKgeCsP2HdnisX8sOkLssAzNfcSEx8=";
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};
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nativeBuildInputs = [ clang_7 python2 ];
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propagatedBuildInputs = [ graphviz matplotlib numpy pandas scipy plotly six ]
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++ lib.optional withCuda [ cudatoolkit ];
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patches = [
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./nix-support.patch
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(fetchpatch {
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name = "format.patch";
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url = "https://github.com/catboost/catboost/pull/1528/commits/a692ba42e5c0f62e5da82b2f6fccfa77deb3419c.patch";
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sha256 = "sha256-fNGucHxsSDFRLk3hFH7rm+zzTdDpY9/QjRs8K+AzVvo=";
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})
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];
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preBuild = ''
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cd catboost/python-package
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'';
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setupPyBuildFlags = [ "--with-ymake=no" ];
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CUDA_ROOT = lib.optional withCuda cudatoolkit;
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enableParallelBuilding = true;
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# Tests use custom "ya" tool, not yet supported.
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dontUseSetuptoolsCheck = true;
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pythonImportsCheck = [ "catboost" ];
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meta = with lib; {
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description = "High-performance library for gradient boosting on decision trees.";
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longDescription = ''
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A fast, scalable, high performance Gradient Boosting on Decision Trees
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library, used for ranking, classification, regression and other machine
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learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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'';
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license = licenses.asl20;
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platforms = [ "x86_64-linux" ];
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homepage = "https://catboost.ai";
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maintainers = with maintainers; [ PlushBeaver ];
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};
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}
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