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update overview of available software
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docs/available_software/data/json_data.json

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docs/available_software/data/json_data_detail.json

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---
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hide:
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- toc
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---
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LightGBM
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========
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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBMor MART) framework based on decision tree algorithms, used for ranking,classification and many other machine learning tasks.
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https://lightgbm.readthedocs.io
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# Available modules
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The overview below shows which LightGBM installations are available per target architecture in EESSI, ordered based on software version (new to old).
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To start using LightGBM, load one of these modules using a `module load` command like:
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```shell
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module load LightGBM/4.5.0-foss-2023a
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```
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*(This data was automatically generated on {{ generated_time }})*
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| |aarch64/generic|aarch64/neoverse_n1|aarch64/neoverse_v1|x86_64/generic|x86_64/amd/zen2|x86_64/amd/zen3|x86_64/amd/zen4|x86_64/intel/haswell|x86_64/intel/skylake_avx512|
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|LightGBM/4.5.0-foss-2023a|x|x|x|x|x|x|x|x|x|
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### LightGBM/4.5.0-foss-2023a
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This is a list of extensions included in the module:
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lightgbm-4.5.0

docs/available_software/detail/libidn2.md

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To start using libidn2, load one of these modules using a `module load` command like:
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```shell
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module load libidn2/2.3.2-GCCcore-13.2.0
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module load libidn2/2.3.7-GCCcore-12.3.0
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```
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*(This data was automatically generated on {{ generated_time }})*
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| |aarch64/generic|aarch64/neoverse_n1|aarch64/neoverse_v1|x86_64/generic|x86_64/amd/zen2|x86_64/amd/zen3|x86_64/amd/zen4|x86_64/intel/haswell|x86_64/intel/skylake_avx512|
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|libidn2/2.3.7-GCCcore-12.3.0|x|x|x|x|x|x|x|x|x|
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|libidn2/2.3.2-GCCcore-13.2.0|x|x|x|x|x|x|x|x|x|

docs/available_software/detail/scikit-build-core.md

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| |aarch64/generic|aarch64/neoverse_n1|aarch64/neoverse_v1|x86_64/generic|x86_64/amd/zen2|x86_64/amd/zen3|x86_64/amd/zen4|x86_64/intel/haswell|x86_64/intel/skylake_avx512|
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|scikit-build-core/0.9.3-GCCcore-13.2.0|x|x|x|x|x|x|x|x|x|
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|scikit-build-core/0.9.3-GCCcore-12.3.0|x|x|x|x|x|x|x|x|x|
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### scikit-build-core/0.9.3-GCCcore-13.2.0
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This is a list of extensions included in the module:
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scikit_build_core-0.9.3
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scikit_build_core-0.9.3
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### scikit-build-core/0.9.3-GCCcore-12.3.0
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This is a list of extensions included in the module:
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pyproject-metadata-0.8.0, scikit_build_core-0.9.3

docs/available_software/detail/wget.md

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To start using wget, load one of these modules using a `module load` command like:
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```shell
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module load wget/1.21.4-GCCcore-13.2.0
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module load wget/1.24.5-GCCcore-12.3.0
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```
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|wget/1.24.5-GCCcore-12.3.0|x|x|x|x|x|x|x|x|x|
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|wget/1.21.4-GCCcore-13.2.0|x|x|x|x|x|x|x|x|x|

mkdocs.yml

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- icon: fontawesome/brands/twitter
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link: https://twitter.com/eessi_hpc
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# this gets auto-updated via update_generated_time.sh script run in update_available_software.yml action
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generated_time: "Thu, 21 Nov 2024 at 01:42:12 UTC"
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generated_time: "Wed, 27 Nov 2024 at 01:47:52 UTC"
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extra_javascript:
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# mermaid diagram
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- https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs

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