Azure ML Data Preparation RustLex

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dataprepms from gravatar.com dataprepms Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dataprepms from gravatar.com dataprepms Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

2.24.0

2.23.7

2.23.6

2.23.5

2.23.4

2.23.3

2.23.2

2.23.1

2.23.0

2.22.5

2.22.4

2.22.3

2.22.2

2.22.1

2.22.0

2.21.1

2.21.0

2.20.4

2.20.3

2.20.2

2.20.1

2.20.0

2.19.8

2.19.7

2.19.6

2.19.5

2.19.3

2.19.2

2.19.1

2.19.0

2.18.7

2.18.6

2.18.5

2.18.4

2.18.3

2.18.2

2.18.1

2.18.0

2.17.12

2.17.11

2.17.10

2.17.9

2.17.8

2.17.7

2.17.6

2.17.5

2.17.2

2.17.1

2.17.0

2.16.4

2.16.3

2.16.2

2.16.1

2.16.0

2.15.2

2.15.1

2.15.0

2.14.0

2.13.0

2.12.1

2.12.0

2.11.4

2.11.3

2.11.2

2.11.1

2.11.0

This version

2.10.0

2.9.1

2.9.0

2.8.1

2.8.0

2.7.1

2.7.0

2.6.3

2.6.2

2.6.1

2.6.0

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.5.0

2.4.3

2.4.2

2.4.1

2.4.0

2.3.1

2.3.0

2.2.0

2.1.1

2.1.0

2.0.3

2.0.0

1.21.2

1.20.3 yanked

Reason this release was yanked:

Found incompatibility with azureml service.

1.20.2

1.19.1

1.18.2

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-2.10.0-cp39-cp39-win_amd64.whl (13.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

azureml_dataprep_rslex-2.10.0-cp39-cp39-manylinux1_x86_64.whl (16.8 MB view details)

Uploaded CPython 3.9

azureml_dataprep_rslex-2.10.0-cp39-cp39-macosx_10_9_x86_64.whl (14.2 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

azureml_dataprep_rslex-2.10.0-cp38-cp38-win_amd64.whl (13.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

azureml_dataprep_rslex-2.10.0-cp38-cp38-manylinux1_x86_64.whl (16.8 MB view details)

Uploaded CPython 3.8

azureml_dataprep_rslex-2.10.0-cp38-cp38-macosx_10_9_x86_64.whl (14.2 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

azureml_dataprep_rslex-2.10.0-cp37-cp37m-win_amd64.whl (13.6 MB view details)

Uploaded CPython 3.7m Windows x86-64

azureml_dataprep_rslex-2.10.0-cp37-cp37m-manylinux1_x86_64.whl (16.8 MB view details)

Uploaded CPython 3.7m

azureml_dataprep_rslex-2.10.0-cp37-cp37m-macosx_10_9_x86_64.whl (14.2 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

azureml_dataprep_rslex-2.10.0-cp36-cp36m-win_amd64.whl (13.6 MB view details)

Uploaded CPython 3.6m Windows x86-64

azureml_dataprep_rslex-2.10.0-cp36-cp36m-manylinux1_x86_64.whl (16.8 MB view details)

Uploaded CPython 3.6m

azureml_dataprep_rslex-2.10.0-cp36-cp36m-macosx_10_9_x86_64.whl (14.2 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

azureml_dataprep_rslex-2.10.0-cp35-cp35m-win_amd64.whl (13.6 MB view details)

Uploaded CPython 3.5m Windows x86-64

azureml_dataprep_rslex-2.10.0-cp35-cp35m-manylinux1_x86_64.whl (16.8 MB view details)

Uploaded CPython 3.5m

azureml_dataprep_rslex-2.10.0-cp35-cp35m-macosx_10_9_x86_64.whl (14.2 MB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 af9b9eb2c06d89ae8229b18d4b834bae0edf747057e5b34b919335828e14671c
MD5 a715a9423fea59e7ee9905a5372a3d56
BLAKE2b-256 5688d1f55200f02c9923daa7cf8c3a8f70233ed9daca26eb51e932517f1188c2

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 28d8cdd4a13a8d8eb53ce72ce66e8c1f3e3b985c1d60f4520cc9d3e8ddcd7c75
MD5 a011fe12c231360518628e7dbcb2d690
BLAKE2b-256 bf107b1c645314508b3aea3b8605c30c3061e1327e0c4c6bdd63fcf3e98c16c5

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d903c4a2422a9da3bf4aae6952d1c24ff124b256a8600605240313dd9b973763
MD5 1e8b50472629125bf93a06511c30feb0
BLAKE2b-256 513193a030b26d1b06aa6faec0292e935b969bd11c8ee3a41ad5bea2de973454

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 abc1eea4d9ae18839e8780fd8d9356252e0c3f21c1ed98f7079896c7d478b30d
MD5 ac250e0bd9392e995e4e2166f641cb3c
BLAKE2b-256 50872a2f74273f7861095389bc67de8c28f62f04da4a16248c58c120845038a6

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6b23be6c51d00222bdff6b95c0607aa898cf0a0aa03d3a42178c9302d07d4a76
MD5 50dbb8107ce851db42f606115081d1d5
BLAKE2b-256 343ee71708e09446e4a1a971dd147e2597fa41cb371fbfd646ee080ba44c2e46

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 aab00c60fd4ceaac28f3d214b92d4aa797361e0a1f3c14d0664b2e8623fae979
MD5 53fcac4195483d9492116c3a0d63f6f8
BLAKE2b-256 c2752fc5f2e167a20fc107ae949e94debdae5bd46f9603e761456ffa043ad9b9

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 077bdf1e1384048b6f0fe58207a2f450b3fadb8f680ef16c0efd337cf0d5ae70
MD5 0f2d4b038336fd85827aeb126dcfc7d1
BLAKE2b-256 3ab3798b9a9dcc7ec56050644d0e892d27f5c8322bf70e1bab3227e33598a951

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 08aef66ce9a6fbb052eb9e6d5f544ca8a3a04b23f2016aea0197c872bcef50ee
MD5 7f93efcf16f56bc6536ebf025b1fd994
BLAKE2b-256 2840872c59ffceb7a1d037db287e2c96ee8091dda2b595cab7bc2ba12325080d

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 cc8d6c1911656a415764c71874680b3d53dc2bf58b7d07d5f4b3785c48e99768
MD5 a0fdec93e7c39187c841f1bc5401e445
BLAKE2b-256 0fb9b92ecd2dc60e87fa3ab26fe4857c67a7af0004d481c3a3c22d52dbd4f66b

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 abfef61f9c7ac6e9b5f899eec122de8f2880f1ba43fae520f263229c4ff26b36
MD5 fa5d59558ed19b9782b34200b74a257c
BLAKE2b-256 f73e4c5a70d4b1ec8e8f2d03720d4f3cb1aed67871fd07cc386d7bcde40ac5a6

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9d6255e441c3b28fa2567f81a5c64b1ff2b89ba4861f8ce2e85e19d8c838e28b
MD5 79f9c3cedb1313493344a705ea540e18
BLAKE2b-256 2d85d7260b81ad6ca740d97725f0e168a9d3340a163bfe15b6ba76c23e07367b

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7086f540beb70fd1b1a96d4c8ca696f8ba8b14dd0b4ae84cc5edfcf42632b30a
MD5 00323e0e250797e94e9849a7203c5165
BLAKE2b-256 3494c72a35d7a558aab1d0a8abcf01e650676a8bf633b9361968a1875907ca3c

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 edef6aa91ab94c23376c6e025295eb51a45ed4c21a146e17587982998785e5a9
MD5 f00117388bedde61ead4d88f645e1626
BLAKE2b-256 536ea702d463efae886d9f908c1bb0840ed025499a9a27e65c6b40e79f29721c

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 39f64b28d976ca92b539be68a9c919ead8cba36bf306246400dc43855e770b45
MD5 8265f0c9e8b11614ba9f2a5009272151
BLAKE2b-256 79068c7b6fb74f4592f3ee8a466e110fa14794653df9f1b2f6e4b23bd733bd22

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.10.0-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.10.0-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a84163206c5f8027b722cae703a211a21a8136b22a5727f38f2467918e81b25c
MD5 135ff8349a2efd464348abe72194cc0e
BLAKE2b-256 538ba6fd389b5af79596a9787ccee3ab981986a87c23da1060a0091159646e20

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