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[bot-automerge] r-mlr3learners v0.5.7 (#13)
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automerged PR by conda-forge/automerge-action
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github-actions[bot] authored Nov 21, 2023
2 parents b3dd2bf + 02db2b1 commit cc85412
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8 changes: 3 additions & 5 deletions .azure-pipelines/azure-pipelines-linux.yml

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17 changes: 0 additions & 17 deletions .ci_support/migrations/r_base43.yaml

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22 changes: 15 additions & 7 deletions .scripts/build_steps.sh

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4 changes: 2 additions & 2 deletions .scripts/logging_utils.sh

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3 changes: 3 additions & 0 deletions .scripts/run_docker_build.sh

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2 changes: 1 addition & 1 deletion README.md

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10 changes: 5 additions & 5 deletions recipe/meta.yaml
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
{% set version = "0.5.6" %}
{% set version = "0.5.7" %}
{% set posix = 'm2-' if win else '' %}
{% set native = 'm2w64-' if win else '' %}

Expand All @@ -10,11 +10,11 @@ source:
url:
- {{ cran_mirror }}/src/contrib/mlr3learners_{{ version }}.tar.gz
- {{ cran_mirror }}/src/contrib/Archive/mlr3learners/mlr3learners_{{ version }}.tar.gz
sha256: a24a2d9d66c16b7ee86ba019cd2b9e600b11bedf49b0cac7f1ee0acab0d417d4
sha256: 0ff114a6d44e1712f94eec1cba121932c9cd52ef3aa0451a67ae0b8501288e50

build:
merge_build_host: true # [win]
number: 1
number: 0
noarch: generic
rpaths:
- lib/R/lib/
Expand Down Expand Up @@ -47,8 +47,8 @@ test:
about:
home: https://mlr3learners.mlr-org.com, https://github.com/mlr-org/mlr3learners
license: LGPL-3.0-only
summary: "Recommended Learners for 'mlr3'. Extends 'mlr3' and 'mlr3proba' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines,\
\ and gradient boosting."
summary: "Recommended Learners for 'mlr3'. Extends 'mlr3' and 'mlr3proba' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines,
and gradient boosting."
license_family: LGPL
license_file:
- {{ environ["PREFIX"] }}/lib/R/share/licenses/LGPL-3
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