dask-ml is a library for distributed and parallel machine learning using dask. See the documentation for more.
Metadata
Release files for dask-ml 1.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dask-ml-1.8.0.tar.gz | 592.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dask_ml-1.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 734.3 kB
Release files / dask-ml-1.8.0.tar.gz
| Download URL | dask-ml-1.8.0.tar.gz |
|---|---|
| Size | 592.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5
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Release files / dask_ml-1.8.0-py3-none-any.whl
| Download URL | dask_ml-1.8.0-py3-none-any.whl |
|---|---|
| Size | 141.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7b3aa890f348465a5306a4f1e48491698c189af879fd1cf91e0f2adac1129118
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5
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