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Cache dependencies on github action. [skip ci] #5928

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merged 1 commit into from
Jul 23, 2020
Merged

Cache dependencies on github action. [skip ci] #5928

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14 changes: 14 additions & 0 deletions .github/workflows/main.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand Down Expand Up @@ -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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6 changes: 3 additions & 3 deletions R-package/DESCRIPTION
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Expand Up @@ -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
Expand Down