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LightGBM | ||
======== | ||
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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 | ||
# 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 | ||
module load LightGBM/4.5.0-foss-2023a | ||
``` | ||
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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| | ||
| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | | ||
|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 |
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