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➕ Add cuml and scikit-learn
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GPU Machine Learning Algorithms, in Python! This also brings in cudf - a GPU DataFrame Library, cudatoolkit, and other RAPIDS AI libraries.

Pinned numba to 0.51.0 and bumped up llvmlite in the poetry.lock file to 0.34.0 to be in line with conda installed version and prevent "ERROR: Cannot uninstall 'llvmlite'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall". This requires datashader 0.11.1 too, all in the fun of dependency management.
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weiji14 committed Sep 15, 2020
1 parent 246aae3 commit cbd1541
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3 changes: 3 additions & 0 deletions environment.yml
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name: deepicedrain
channels:
- conda-forge
- rapidsai-nightly
dependencies:
- rapidsai-nightly::cuml=0.15.0a200817[md5=8e6ede59b1bc5742e21e1e5327173a8b]
- conda-forge::geos=3.8.1[md5=7282fbe0c036bacad959c03c05a7eb9a]
- conda-forge/label/dev::gmt=6.2.0.dev0+a1a189c[md5=915cb603613887002b58e09859aaac82]
- conda-forge::gxx_linux-64=7.5.0[md5=c6afca6a2bfe1ea0ff5566d300460501]
- conda-forge::nodejs=13.13.0[md5=cf25f8cee7aad7f417980872d34d8fd6]
- numba::numba=0.51.0[md5=1151f4a9312696ac4694d82089c92a11]
- conda-forge::numcodecs=0.6.4[md5=4873a5169bb684b4e120e7bcb287488e]
- conda-forge::parallel=20200522[md5=8fa06db0afc1e7b1f136277557a4b65e]
- conda-forge::pip=20.1.1[md5=5e42afe5672d5baf3d9d2260239aa923]
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