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

This version

2.11.1

2.11.0

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-2.11.1-cp39-cp39-win_amd64.whl (13.8 MB view details)

Uploaded CPython 3.9 Windows x86-64

azureml_dataprep_rslex-2.11.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

azureml_dataprep_rslex-2.11.1-cp39-cp39-macosx_10_9_x86_64.whl (14.6 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

azureml_dataprep_rslex-2.11.1-cp38-cp38-win_amd64.whl (13.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

azureml_dataprep_rslex-2.11.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

azureml_dataprep_rslex-2.11.1-cp38-cp38-macosx_10_9_x86_64.whl (14.6 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

azureml_dataprep_rslex-2.11.1-cp37-cp37m-win_amd64.whl (13.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

azureml_dataprep_rslex-2.11.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

azureml_dataprep_rslex-2.11.1-cp37-cp37m-macosx_10_9_x86_64.whl (14.6 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

azureml_dataprep_rslex-2.11.1-cp36-cp36m-win_amd64.whl (13.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

azureml_dataprep_rslex-2.11.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

azureml_dataprep_rslex-2.11.1-cp36-cp36m-macosx_10_9_x86_64.whl (14.6 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

azureml_dataprep_rslex-2.11.1-cp35-cp35m-win_amd64.whl (13.8 MB view details)

Uploaded CPython 3.5m Windows x86-64

azureml_dataprep_rslex-2.11.1-cp35-cp35m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.17+ x86-64

azureml_dataprep_rslex-2.11.1-cp35-cp35m-macosx_10_9_x86_64.whl (14.6 MB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 612a2d7616e76fee0df70271af92a3190023ee2573ef4fbdba325bddb8bfb4f7
MD5 cc81b013faaccb3be6c6f780f98def57
BLAKE2b-256 4aa75c7ccd0317bb517716e084e1015df939e063105eff81b3d4357f934d1cb1

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 afb226ee8db8ab08e261ae55dc77cea98cc91196bdd00e757148760788047229
MD5 048c244d1fd3ad997f6395771bed308c
BLAKE2b-256 6d1c661bef0c40922d6e5d671ccd64932dd4bb3f58a7fc6ad3fa2c9be7e6dca2

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d081f43ef85c03b3d8c4e9a8c2f29ff91fc164bedc2d9dc7f640bfc2d0b82221
MD5 d1bb463f19c845268d3cf4fde5e72489
BLAKE2b-256 75dbd69f4e276354463e959f8aa80bb2a4238a752aa63970bf00329bb53227b3

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 22fd49840d105bd76004fd42cc9254db5ba084f03b2dd0fd9cbdf3aa2377654d
MD5 2a704e1b18eefd2b0c3452e03de43d14
BLAKE2b-256 f1424f7d27838cea825005864bc56526ffab8b7ba6c85070524ac0ccfa7bf63c

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cd6fe659351642853b00a70cf19cef21cb92700f4bfc38452a59952c814470a2
MD5 1de1601594adcc636ee1ee465c5863e9
BLAKE2b-256 424718234e0722ac5047736d0a5cd34816cff08cd2cae83283652333eb94899b

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d099ce8b76a3d34544ffaffb84efd8be1d1ec1ac054fed2f641758df8a5efcd8
MD5 a1d63db4531efec65bc89912809bc585
BLAKE2b-256 ac8da6db1d0c820f0501bd1b68a226075fcfce6177653340625c66182681ae35

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e3a8b6382f976bcda454571017ec9b6502fcaf51ba39d46738fa54ab7dceb747
MD5 8cd927927f7954b28911cfd8926d8c24
BLAKE2b-256 a9403352ddca2fa5c4e1629abc4bb21702e4e7c657ffd59bb3633b1ebaafd07b

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fa1f6ac4dffb0fdd202aba929d194254463bd0d8d29c347e022cc6ecbc1f89d4
MD5 89a0e6a5d5a65bf38e3bd5d9324a4888
BLAKE2b-256 cb64839fbafd35fca0c5f9176fd0b76da0668baa3184162697677a2e94de54b4

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 01957310121822792602b6582a17d6f0cf865744b3cf952d89916692821b01af
MD5 ba6526a3f53583e83031d7a3c0f52eef
BLAKE2b-256 d6cbd6550d9ad2978fa23f9430a5a2732c6c9b6b53c5ee189bb407aaf18e8b89

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 ddf9310f7d08b10e7bf6186ee97d9c6b7d15a27778b0dd45e3d553b0030f6c68
MD5 23b91730cf97bee38f748fd256b07ca4
BLAKE2b-256 96d69b67d8ce689f0ca637b3ac0e4bff6658f573e9f197e16061ce1850bfbbef

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 91954926d64597c2053f4313a2c8876d0daf9b0bb53a99333c7bf4cc21f82051
MD5 8ee2590e896e4d3fbcd5af6711228472
BLAKE2b-256 373478d28ab8fe2017ff7976823a90acfe24a7598309760b819f18423bea7f6c

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4800fc15a0f133bbe259be2285014e9f7e4e66ded4cc2705470096afb17be9d0
MD5 2f7da2d6930ef2f83b0797a92b0f2321
BLAKE2b-256 a8c1a7c21b22b735614672d96a85150a3a1d49241dfb7a43d14d62e2f24f4569

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 e11de357e3ac06eca6c2ebd502160efe6d13767435ea6f08a4604199ad662e85
MD5 2dfdbe1aeace59a8d42fa47e819e3d99
BLAKE2b-256 a0739badd02bb96c5eb281c93b4ed52c0bc4175d8e33441b904aa1142b1ef11c

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp35-cp35m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp35-cp35m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dba94a93318f733426442c456a8a964425794cebfddfec5b3bab90957ca28563
MD5 1f40cfe13c4dbfaaabff68f8874bfe76
BLAKE2b-256 3381bf4c17b3e73e67138e885adfc8f17b9431e6c1c346cac5cfc185efd2a97e

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.11.1-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.11.1-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 824f064832b99516331e14fce38ade609c5c75cdde0146347fdea0018acedf47
MD5 9f481a5f553cf18aec35f2b45168a13f
BLAKE2b-256 fb9e3114e5577855e5e55161a4f3e2adcc1a9e80d2119db86f96c83ed0cb9036

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