Mldock

Latest version: v0.9.2

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0.8.22

0.8.21

**Better container init**
- check available templates in template server
- defaults github templates to mldock template server on github, if configured for github. No need for API key.
- resolves initialize a container from provided trainer, prediction and requirements.txt files 66 - init container from provided train, prediction and requirements files

**Better development**

- providing an --interactive on train/deploy which runs those commands without docker

**streamlines base containers:**

- migrating to a fastapi + uvicorn server
- stripping out non-base requirements (mldock logger, csv handling in request) - current containers are a cleaner basis to start from.
- splitting src/container/assets.py => src/container/lifecycle.py + src/assets.py. To help with explainability and "migratability" meaning that user altered code is not removed in a container init --container-only execution.
- brings a wrap decorator to provide user scripts with appropriate wrappers for error handling and startup/cleanup tasks in container lifecycle.


**bugfixes:**

- requirements.txt handling in container init where src/requirements.txt already existed would fail due to create=True on packagemanager.

0.8.20

- `package pack` is a wrapper around `pip wheel` in hopes to streamline dependency management in container projects
- bugfix: logs metrics/params groks updated to be more flexible on metric naming. Specifically to include special characters by using a GREEDYDATA groking approach.

0.8.19

0.8.18

adds packages like pyarrow and s3fs, gcsfs and grok to CLI since it is only used here currently.

0.8.17

- add logging and experiment tracker
- add CLI logs to grok show, compare metrics and params
- bugfix: default image name overrides image_name
- bugfix - "local variables templtates referenced before assignment" in container init
- tests for gcloud gs asset helpers

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