Skip to main content

Azure ML Data Preparation RustLex

Project description

Azure Machine Learning Data Prep RsLex

Azure Machine Learning Data Prep RsLex is a Rust implementation of Data Prep's capabilities to load, transform, and write data for machine learning workflows. You can interact with RsLex via the Data Prep SDK, azureml-dataprep, by calling use_rust_execution(True) before using the SDK.

Install the SDK

To install Azure Machine Learning Data Prep RsLex, use the following command:

pip install --upgrade azureml-dataprep-rslex

NOTE: This package is not intended for direct installation or usage. azureml-dataprep depends on this package.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

azureml_dataprep_rslex-2.23.3-cp312-cp312-win_amd64.whl (18.6 MB view details)

Uploaded CPython 3.12 Windows x86-64

azureml_dataprep_rslex-2.23.3-cp311-cp311-win_amd64.whl (18.6 MB view details)

Uploaded CPython 3.11 Windows x86-64

azureml_dataprep_rslex-2.23.3-cp311-cp311-macosx_10_9_x86_64.whl (19.2 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

azureml_dataprep_rslex-2.23.3-cp310-cp310-win_amd64.whl (18.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

azureml_dataprep_rslex-2.23.3-cp310-cp310-macosx_10_9_x86_64.whl (19.2 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

azureml_dataprep_rslex-2.23.3-cp39-cp39-win_amd64.whl (18.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

azureml_dataprep_rslex-2.23.3-cp38-cp38-win_amd64.whl (18.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

File details

Details for the file azureml_dataprep_rslex-2.23.3-pp39-pypy39_pp73-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-pp39-pypy39_pp73-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5559b8fb3177c717d50b483f00920d6f646b910d3cac7fd619969b154e6cb987
MD5 9113eca1ce556dc29d28091fe40c7c6e
BLAKE2b-256 63dc13137e6bf349b13e431da56e130c98d095a2ebbc5c9de68ab367b49a7faf

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-pp38-pypy38_pp73-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-pp38-pypy38_pp73-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2ca0b739a74eb90a3a34b97f8250e79afa03a73ec90f302e7a558f0e2704a15d
MD5 44ee63157d6e07919adf51a1b93531e6
BLAKE2b-256 adc818a00afa456dafa49806218005d6501c50334633d5f8668aa7b495e38029

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 6974df18fe8965a12e1ac71b7cbfd50dc4d4e0ea4bc68639ba96b7ff4b3b1f1c
MD5 b158fb48b7c09c8ff6bb01ef3d5fc2ec
BLAKE2b-256 76947cab4d8a1c8371a461c7574581256fac61f877cdd6dac11682f5c137e34f

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp312-cp312-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp312-cp312-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a807de2e170f2ebabfeeb5309ee445b41f0ec10851be7341902b57b7095f2203
MD5 3d952f8644326138b461a9a1a9039810
BLAKE2b-256 66ed423cfd99984d34897e0e837a0e5a8d030bee77c357cc30fc52f2e34c099b

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 9e2c838e9a2e57d3c8453d29d3a858d218b8929419a06a9f8cdefd9bde44fd2a
MD5 8f76fa0990f10b30706a4260a89b2cf2
BLAKE2b-256 76fbf12d56bb32b6f3febe87e4933b2f69218f813e8d3af927f874c7e44ad36b

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp311-cp311-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp311-cp311-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3040b8b2312f53cb0b9774bb027a48538ae8e0b7cc9b35f58e8f7736bb1e3362
MD5 1a9490a7f0d420f35ea341ab33b2c81e
BLAKE2b-256 2469940cb9b27d550064da62467e9d284d05c5ab63fb8bb45be9f0837a3f3df2

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6724bbadf6a0a3ebdd5497e8e35a59472550d63715637625513220fd3f96583c
MD5 7722ff1792306d68312a99a7554aa794
BLAKE2b-256 d56f9ee89333c529e094273064b095f4f1a54ae3c0e314ecda516a306ce307f5

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 aefe2b246b44eb78e9f71f9d810964b7a3eca455c40686abf430d648cfb499a1
MD5 ab694d255ba54fc76903a2f39a24e433
BLAKE2b-256 b3115acf0ff35c952f9fd589c2b1d4e0097f830c95fefa9b4d5b43f2d5d097a4

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp310-cp310-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 feb9b21273c658541d2f36dde8a2e5d094eff1dd59c2d589cc5dd18ee9b52fdb
MD5 37206dbcc86fc66d34c8737e95593c56
BLAKE2b-256 e2aa2eeb6d5625d25721b4368f32b5da9639237d2f398b6e3a4c6588ee55be9d

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a84b5a643307de44cf7ccd91f6daccfe76fab257b2e1826a01f5a3147a74d53e
MD5 de218458738208ff452c3e75419e2a99
BLAKE2b-256 a408266656d50878e280d4028270d8f3cba187d5f4d796c48a6a586d868e38c7

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 7991deb67258f12dea9850b23762ae3db708d6b5f924cb5cc547418c2ed31c21
MD5 ee969cf16eac3b17408b8a814260005c
BLAKE2b-256 5002e3e8ce5b3eab06c04e999bad47a18d98bebf29ee035243a2418a78363354

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b001fe554b1690108c2ab9131f5f1efa1f7f625be60848059bdfc9b493ddb4bc
MD5 b47987e8b4ed20f9e97e51dde5c68a00
BLAKE2b-256 40179fccb8367aab1f44a2f29202f2152778aff3892d8e9ae55833d16664d1c1

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 03745e795b2e6bc19a325003040e4d2a34748fa5a326edfe77af5b61a7f9f90f
MD5 cd8355bc908f17ba2b2230c5d1e3e7b8
BLAKE2b-256 172212a4ef5bfee95e939e7e1bb6e426e3e20ddb4ec7043f3f752ad3df77280a

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.23.3-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.23.3-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d598e88ba8f81983cb287a71d48507b9dc95e868483551109c30b2271a6c171f
MD5 195f60f3974afd33d3464da773dcf890
BLAKE2b-256 d40cff39d28a92f77e2a1ceb4d8bc57faf6db7b28378bcc002ec08c819088018

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page