Neomaril-codex

What's Changed
* Atualizar documentação do Codex - Monitoramento e Preprocessamento by 64J0 in https://github.com/datarisk-io/mlops-neomaril-codex/pull/30
* Fix external training extra errors by gkardoso in https://github.com/datarisk-io/mlops-neomaril-codex/pull/31
* Add ci test by gkardoso in https://github.com/datarisk-io/mlops-neomaril-codex/pull/34
* Solve target proportion key error by gkardoso in https://github.com/datarisk-io/mlops-neomaril-codex/pull/32
* Add option to save plots by gkardoso in https://github.com/datarisk-io/mlops-neomaril-codex/pull/33


**Full Changelog**: https://github.com/datarisk-io/mlops-neomaril-codex/compare/v1.2.1...v1.2.5

Fixes external training

**Full Changelog**: https://github.com/datarisk-io/mlops-neomaril-codex/compare/v1.2.0...v1.2.1

What's Changed
* Feat: add monitoring parameters configuration file by ManuDiasCruz in https://github.com/datarisk-io/mlops-neomaril-codex/pull/28
* Add external training and first draft of trainning logger by johnrc90 in https://github.com/datarisk-io/mlops-neomaril-codex/pull/27
* feat: update training_type by rslopes in https://github.com/datarisk-io/mlops-neomaril-codex/pull/29

New Contributors
* rslopes made their first contribution in https://github.com/datarisk-io/mlops-neomaril-codex/pull/29

**Full Changelog**: https://github.com/datarisk-io/mlops-neomaril-codex/compare/v1.1.1...v1.2.0

What's Changed
* Docs: samples enhancement by ManuDiasCruz in https://github.com/datarisk-io/mlops-neomaril-codex/pull/26
* Fix auth and preprocessing

**Full Changelog**: https://github.com/datarisk-io/mlops-neomaril-codex/compare/v1.0.1...v1.1.1

What's Changed
* Implementing preprocessing by gkardoso in https://github.com/datarisk-io/mlops-neomaril-codex/pull/21

New Contributors
* gkardoso made their first contribution in https://github.com/datarisk-io/mlops-neomaril-codex/pull/21

**Full Changelog**: https://github.com/datarisk-io/mlops-neomaril-codex/compare/v1.0.4...1.0.5

- Remove group token from outputs
- Add .env parameter for training
- Fix a bug where the run async execution wasnt being returned
- Fix the get_all_training_executions to the new format
- Fix a error when MLFlow is unavaliable.