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-2.5.2-cp39-cp39-win_amd64.whl (12.1 MB view details)

Uploaded CPython 3.9 Windows x86-64

azureml_dataprep_rslex-2.5.2-cp39-cp39-macosx_10_9_x86_64.whl (12.9 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

azureml_dataprep_rslex-2.5.2-cp38-cp38-win_amd64.whl (12.1 MB view details)

Uploaded CPython 3.8 Windows x86-64

azureml_dataprep_rslex-2.5.2-cp38-cp38-macosx_10_9_x86_64.whl (12.9 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

azureml_dataprep_rslex-2.5.2-cp37-cp37m-win_amd64.whl (12.1 MB view details)

Uploaded CPython 3.7m Windows x86-64

azureml_dataprep_rslex-2.5.2-cp37-cp37m-macosx_10_9_x86_64.whl (12.9 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

azureml_dataprep_rslex-2.5.2-cp36-cp36m-win_amd64.whl (12.1 MB view details)

Uploaded CPython 3.6m Windows x86-64

azureml_dataprep_rslex-2.5.2-cp36-cp36m-macosx_10_9_x86_64.whl (12.9 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

azureml_dataprep_rslex-2.5.2-cp35-cp35m-win_amd64.whl (12.1 MB view details)

Uploaded CPython 3.5m Windows x86-64

azureml_dataprep_rslex-2.5.2-cp35-cp35m-macosx_10_9_x86_64.whl (12.9 MB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 bdac963ceea5877139c4281d55698d8a45de0588c6aabfab51048b9c51ff5df4
MD5 f2dd79b6cf6dd3732693f7669ef1cbde
BLAKE2b-256 ee3e2c19cd9474de72b229a4807cc3eda8c1af257d4ad1396f8fe8cf3ffe24e2

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6897a13d8dfd140468c4f3034a7a0fd5b1c70e15f99dd3bca850446e4acdef6c
MD5 ddd9860d2067022a185141fe8638f590
BLAKE2b-256 2b0f675fbc13dac6c6349a0018b97100f5a69eb7b93147a0d315f748eacd9a62

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 640c4666acfd58e57a5aa357a25a6429c40d07e63703d98cc83914a8d66f26ad
MD5 82f59fe831b5743858c7b6450e1994d4
BLAKE2b-256 a32aacca19a5e40252665e7974f9215e9e5ba4e3b19d82fa66cb4cdc9eb7a8c6

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 d0c546668aa97b64ecd7b6750435dca17fa643b98619577ef140a88dd026547f
MD5 9d093835a81ba64833fe93e3ac1af604
BLAKE2b-256 2b53e95a119df7d3c430d849bd1c8e855de6941535f461e49c021c353c4ac654

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ab8984d62bc6adcfc20762acfefe66d7843747d2b300d66aebd1566d1f6f0b6f
MD5 49534fb992204a36d1d4415d9064be37
BLAKE2b-256 4a720c1e53609877311688b94ee3e10a4edbb978c9eb6b61e26fa90799d84016

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a019dfac9050b2980dc1f53bbf6f9828109b5ba3880e7aeea38c69da00a43fdb
MD5 57c1b61f25c54cc7250c40b47f9a07c2
BLAKE2b-256 50760084fa7a541709518afcd8d16c394544cb9f0947168c85d6fe379b17a3be

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 7f84d6d1fb4a618b34ad837aae272b590e35fd106cd7e4ec5430f47c353d6262
MD5 f7184e69464242dc7d57b2d40105dfd3
BLAKE2b-256 f671f380e9b465af486126e6d016a247e1fe1a5ef2eed2224dc059d4c6e4d000

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 103e23e68e5cfaa18222178f0ad13799994a5ebcd7c2f4bc09a38098dc73ec85
MD5 a76dcd4200859af690fd19cf0d606189
BLAKE2b-256 f3e629ad90b69a432ac606d4151c77f629f147e8731d62d6999ffe9b62c364bc

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 cd4dc4e81b65d519870656eea7c8f0e2e8555196a6ab547905ecd391512eb410
MD5 15af43f0b84e9219b8c5764058e35dc5
BLAKE2b-256 c4ecdddc46a1d36918bea79a9038dc8d1dde84be15c16acf6f4675d9a40b0a12

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 c6833d5f2725d8e0dd1864e05201d0edc3478e9d4d7a6aff7489fc9a990f2443
MD5 e4bddcb67e90dc32b491835c523dd53a
BLAKE2b-256 8b125531a22ab577ad1ae791d82016b0c82b058c9c4c6d48b7ddc338f497484d

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 8c2b973259c49469e446b4a7bfd9bac35163c1584fee799e1d4e7f01498821e6
MD5 eeba17393247a95af9ba7f25dc747ad4
BLAKE2b-256 fa082a6361108542669b4d4e3c0372d28f578724386f729b2f9d3f90e78cf93d

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 495d15e1e530e8052f8b9b27bcd43a284f1b248a31cb320814f661d5cea5c36e
MD5 a7bd71932768b557142295ed58b4b600
BLAKE2b-256 5c01773a596ff06228da73f0d0b99ef9578179b245bcc02886bb53f4908b5d4b

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 d744705e9eedf831014221bea9143025b699604e38c5fe811ea411292ee60383
MD5 d5c6be7a416eb1ebbe2574dca4a5d8bc
BLAKE2b-256 b4ea6de16fc3702d19270df6d2b7add8a74b07a5c2037cb1116f6c712f638fa5

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e45f7ffc27c0ce01e3cf813f7a153dd9af8d5ef60b0a7b1cd28a35ad063b9c18
MD5 0c9bafef86be6af819f1d6d2b41e0683
BLAKE2b-256 6647385554a4c44be8c0ebf6cf9a1f476fd3b1e47100b4332c757e8d0611e38a

See more details on using hashes here.

File details

Details for the file azureml_dataprep_rslex-2.5.2-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for azureml_dataprep_rslex-2.5.2-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7f2e743fc56f2745c35ec2fabd3c89e45f99982e894d7e8c2fcd85d360460105
MD5 c1db9e97e4d982fcf6edaba9af7e8214
BLAKE2b-256 bd8207d25815c1d603efb7159783812a3bb5b2e8532831462df0998193683c2e

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