Cache dependencies on Github Action. (#5928)

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Jiaming Yuan 2020-07-23 14:00:19 +08:00 committed by GitHub
parent 4af857f95d
commit fbfbd525d8
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2 changed files with 17 additions and 3 deletions

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@ -25,6 +25,13 @@ jobs:
with:
java-version: 1.8
- name: Cache Maven packages
uses: actions/cache@v2
with:
path: ~/.m2
key: ${{ runner.os }}-m2-${{ hashFiles('./jvm-packages/pom.xml') }}
restore-keys: ${{ runner.os }}-m2
- name: Test JVM packages
run: |
cd jvm-packages
@ -61,6 +68,13 @@ jobs:
with:
r-version: ${{ matrix.config.r }}
- name: Cache R packages
uses: actions/cache@v2
with:
path: ${{ env.R_LIBS_USER }}
key: ${{ runner.os }}-r-${{ matrix.config.r }}-1-${{ hashFiles('R-package/DESCRIPTION') }}
restore-keys: ${{ runner.os }}-r-${{ matrix.config.r }}-2-
- name: Install dependencies
shell: Rscript {0}
run: |

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@ -31,9 +31,9 @@ Authors@R: c(
)
Description: Extreme Gradient Boosting, which is an efficient implementation
of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.
This package is its R interface. The package includes efficient linear
model solver and tree learning algorithms. The package can automatically
do parallel computation on a single machine which could be more than 10
This package is its R interface. The package includes efficient linear
model solver and tree learning algorithms. The package can automatically
do parallel computation on a single machine which could be more than 10
times faster than existing gradient boosting packages. It supports
various objective functions, including regression, classification and ranking.
The package is made to be extensible, so that users are also allowed to define