From 4d313e1dd99b25e942bbcb6079f9de8e81f7b9f6 Mon Sep 17 00:00:00 2001 From: SIKAI ZHANG <34108862+MatthewSZhang@users.noreply.github.com> Date: Mon, 19 Aug 2024 16:53:12 +0800 Subject: [PATCH] MNT support conda install --- README.rst | 16 +- pixi.lock | 1779 ++++++------------------------------------------ pyproject.toml | 16 +- 3 files changed, 218 insertions(+), 1593 deletions(-) diff --git a/README.rst b/README.rst index fa1a7c1..dba02c8 100644 --- a/README.rst +++ b/README.rst @@ -1,7 +1,9 @@ FastCan: A Fast Canonical-Correlation-Based Feature Selection Method ==================================================================== -|Codecov| |CI| |Doc| |PythonVersion| |PyPi| |Black| |ruff| |pixi| +|conda| |Codecov| |CI| |Doc| |PythonVersion| |PyPi| |Black| |ruff| |pixi| +.. |conda| image:: https://img.shields.io/conda/vn/conda-forge/fastcan.svg + :target: https://anaconda.org/conda-forge/fastcan .. |Codecov| image:: https://codecov.io/gh/MatthewSZhang/fastcan/branch/main/graph/badge.svg :target: https://codecov.io/gh/MatthewSZhang/fastcan @@ -43,10 +45,14 @@ FastCan is a Python implementation of the following papers. Installation ------------ -Install **FastCan**: +Install **FastCan** via PyPi: * Run ``pip install fastcan`` +Or via conda-forge: + +* Run ``conda install -c conda-forge fastcan`` + Examples -------- >>> from fastcan import FastCan @@ -58,9 +64,3 @@ Examples >>> selector = FastCan(n_features_to_select=2, verbose=0).fit(X, y) >>> selector.get_support() array([ True, True, False]) - -Uninstallation --------------- -Uninstall **FastCan**: - -* Run ``pip uninstall fastcan`` diff --git a/pixi.lock b/pixi.lock index 76caebc..449b467 100644 --- a/pixi.lock +++ b/pixi.lock @@ -36,22 +36,22 @@ environments: - conda: https://conda.anaconda.org/conda-forge/noarch/meson-python-0.16.0-pyh0c530f3_0.conda - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h59595ed_0.conda - conda: https://conda.anaconda.org/conda-forge/linux-64/ninja-1.12.1-h297d8ca_0.conda - - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.0.1-py312h1103770_0.conda + - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.0-py312h1103770_0.conda - 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