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https://github.com/conda-forge/r-h2o-feedstock https://docs.conda.io/projects/conda-build/en/stable/user-guide/tutorials/build-r-pkgs.html
And add it to jenkins release.
meta.yaml:
{% set major_version = '3.46.0' %} {% set minor_version = '1' %} {% set version = major_version + '.' + minor_version %} {% set posix = 'm2-' if win else '' %} {% set native = 'm2w64-' if win else '' %} package: name: r-h2o version: {{ version|replace("-", "_") }} source: url: - https://h2o-release.s3.amazonaws.com/h2o/rel-{{ major_version }}/{{ minor_version }}/Rcran/h2o_{{ major_version }}.{{ minor_version }}.tar.gz build: merge_build_host: true # [win] number: 0 noarch: generic rpaths: - lib/R/lib/ - lib/ requirements: build: - {{ posix }}zip # [win] - cross-r-base {{ r_base }} # [build_platform != target_platform] host: - r-base - r-rcurl - r-jsonlite - openjdk run: - r-base - r-rcurl - r-jsonlite - openjdk test: commands: - $R -e "library('h2o')" # [not win] - "\"%R%\" -e \"library('h2o')\"" # [win] about: home: https://github.com/h2oai/h2o-3 license: Apache-2.0 summary: R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML). license_family: APACHE
The text was updated successfully, but these errors were encountered:
valenad1
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https://github.com/conda-forge/r-h2o-feedstock
https://docs.conda.io/projects/conda-build/en/stable/user-guide/tutorials/build-r-pkgs.html
And add it to jenkins release.
meta.yaml:
The text was updated successfully, but these errors were encountered: