about summary refs log tree commit diff
path: root/nixpkgs/pkgs/development/python-modules/catboost/default.nix
diff options
context:
space:
mode:
Diffstat (limited to 'nixpkgs/pkgs/development/python-modules/catboost/default.nix')
-rw-r--r--nixpkgs/pkgs/development/python-modules/catboost/default.nix56
1 files changed, 56 insertions, 0 deletions
diff --git a/nixpkgs/pkgs/development/python-modules/catboost/default.nix b/nixpkgs/pkgs/development/python-modules/catboost/default.nix
new file mode 100644
index 000000000000..8c5184240f62
--- /dev/null
+++ b/nixpkgs/pkgs/development/python-modules/catboost/default.nix
@@ -0,0 +1,56 @@
+{ buildPythonPackage, fetchFromGitHub, fetchpatch, lib, pythonOlder
+, clang_7, python2
+, graphviz, matplotlib, numpy, pandas, plotly, scipy, six
+, withCuda ? false, cudatoolkit }:
+
+buildPythonPackage rec {
+  pname = "catboost";
+  version = "0.24.4";
+
+  disabled = pythonOlder "3.4";
+
+  src = fetchFromGitHub {
+    owner = "catboost";
+    repo = "catboost";
+    rev = "v${version}";
+    sha256 = "sha256-pzmwEiKziB4ldnKgeCsP2HdnisX8sOkLssAzNfcSEx8=";
+  };
+
+  nativeBuildInputs = [ clang_7 python2 ];
+
+  propagatedBuildInputs = [ graphviz matplotlib numpy pandas scipy plotly six ]
+    ++ lib.optional withCuda [ cudatoolkit ];
+
+  patches = [
+    ./nix-support.patch
+    (fetchpatch {
+      name = "format.patch";
+      url = "https://github.com/catboost/catboost/pull/1528/commits/a692ba42e5c0f62e5da82b2f6fccfa77deb3419c.patch";
+      sha256 = "sha256-fNGucHxsSDFRLk3hFH7rm+zzTdDpY9/QjRs8K+AzVvo=";
+    })
+  ];
+
+  preBuild = ''
+    cd catboost/python-package
+    '';
+  setupPyBuildFlags = [ "--with-ymake=no" ];
+  CUDA_ROOT = lib.optional withCuda cudatoolkit;
+  enableParallelBuilding = true;
+
+  # Tests use custom "ya" tool, not yet supported.
+  dontUseSetuptoolsCheck = true;
+  pythonImportsCheck = [ "catboost" ];
+
+  meta = with lib; {
+    description = "High-performance library for gradient boosting on decision trees.";
+    longDescription = ''
+      A fast, scalable, high performance Gradient Boosting on Decision Trees
+      library, used for ranking, classification, regression and other machine
+      learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
+    '';
+    license = licenses.asl20;
+    platforms = [ "x86_64-linux" ];
+    homepage = "https://catboost.ai";
+    maintainers = with maintainers; [ PlushBeaver ];
+  };
+}