Gretel-client

Latest version: v0.24.1

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0.9.2

Not secure
Enhancements ๐ŸŽ‰
* Updates to `configure_session` to make it more notebook friendly 072fd0327536719966034966b867f30488254ef5
* Update `agent` to support custom environment variables and volumes 70457403eabc4d02940a4adf2d8765360e8e9c72
* Update `agent` to support launching on-prem GPU jobs 07be63742bc16bbe3d94071523fdda9f21cda845

Housekeeping ๐Ÿงน
* `black` formatting updates

0.9.1

Not secure
Bugfixes ๐Ÿ›
* Worker wouldn't detach from agent fb82d3b0f77b492b3dfa4c39506c4ba00c3437e3
* Project suffix not always unique when using `create_or_get_unique_project` c0e909f108ddcbf78defba33c25273220613f17a
* Record generation would sometimes fail with default `--max-invalid` value 048c8b5a0f946c55b65df6fcc53245c66b869ad9


Housekeeping ๐Ÿงน
* Updating billing copy to reflect GA d85106a9050e8f5344dd0365c459b8502648b85a

0.9.0

Not secure
Enhancements ๐ŸŽ‰
* Enable uploading Parquet datasets 718b7eee793978de15a0572144134d0d71a35a8c
* [Preview] Add connector related commands to the CLI b9fd267944e37457ed521c494ce2d1a712b96cae

Bugfixes ๐Ÿ›
* Fix Docker GPU check 1d49296980cc46f6fa9734cb5968b88dd6f8095b

Housekeeping ๐Ÿงน
* Pin transitive Sphinx dependencies 6c868bb01b67601de2fafb9a95edbc6d60a7a7d9
* Introduce more generic support for different workflows in the CLI e6a02aed2767625061380a291ff78158fc2ba47e
* :warning: This update introduced backward incompatible API change: `Model.model_type` now returns a string instead of enum. The returned string value is the same as value of the previously returned enum.

0.8.5

Not secure
Enhancements ๐ŸŽ‰
* Add backoff and retry logic for rate limited requests edbe2273047e1766c33cea6280065165d6b48ce8
* Allow for model name updates from the CLI and SDK a2a431c0450a191aac2c72e18554fa910c9d77d5, 9f38b07bd39d5a311ae03cc4643cafe0b998b998
* Improved CLI error handling c36701c0cd8af898a34e5c28b9f8e4564c72c0e3
* Add http retry logic when opening and validating remote datasets a1cf537785dc4a6ac07ed9ea72df145736364194
* Add SDK method for fetching signed project artifact links a393d7f1b9582e1b58899c883ca54739b09037c0
* Add new `UsersApi` python bindings b4753046e890ece1d51bb790bb2a21147bab9c7b
* Add helper method `create_or_get_unique_project` for creating unique named projects by user b4753046e890ece1d51bb790bb2a21147bab9c7b
* Add helper method `do_api_call` for accessing APIs not yet available via python bindings b4753046e890ece1d51bb790bb2a21147bab9c7b

Bugfixes ๐Ÿ›
* Docker pull progress wasn't correctly being rendered when using the SDK in a notebook 49eff5551c29d0de37c5092fb71822c73267a249

Housekeeping ๐Ÿงน

* Rely on the API to delete project subresources 7d59444dd2ae8be9558cdfdecb8ed0827d1185b9
* Fix failing sphinx builds c1eae8987db53d0fdc99a5ffd9cb85a672289ca1

0.8.4

Not secure
Enhancements ๐ŸŽ‰
* Show docker pull progress when launching new worker containers https://github.com/gretelai/gretel-python-client/commit/39cff284eb7e6480d2e5cdbe5beb99393742056a
* Add `privacy_protection_level` to synthetics report output https://github.com/gretelai/gretel-python-client/commit/97fecdbf310fd768ed018bb136521f2e29bb1ad5
* Update API calls when fetching worker logs https://github.com/gretelai/gretel-python-client/commit/c993dc849b5e7ec02c838751d3056aa1bc1a4a86
* Improved retry logic on transient HTTP errors https://github.com/gretelai/gretel-python-client/commit/c6b54ea8bf480a814501867eec0b0c92c4e06736


Bugfixes ๐Ÿ›
* Fix record handler output when running jobs in manual mode https://github.com/gretelai/gretel-python-client/commit/02009e5afde745edc6d0e43d77671432a7b222dc
* Unable to download run reports due to an incorrectly configured artifact key https://github.com/gretelai/gretel-python-client/commit/ddb51c3d3ce662d75c583be847e4a1711babeed6

Housekeeping ๐Ÿงน
* Format and lint codebase https://github.com/gretelai/gretel-python-client/commit/67c29a4081e63aad9e22dc7fc8b92fd06d1943c1

0.8.3

Not secure
Enhancements ๐ŸŽ‰
* `gretel projects search` API exception handling is more consistent.

Bugfixes ๐Ÿ›
* `submit_docker_local` now correctly configures a GPU when training synthetic models.

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