Fix(requirements): bump dependencies, mainly to eliminate third-party security issues #1383
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… security issues * Bump `TensorFlow 2.12.1->2.16.1` * Bump `catboost 1.2.2->1.2.5` * Bump `mlflow 2.9.2->2.12.2` * Bump `azureml-core 1.49.0->1.56.0` * Remove locked `gunicorn` and `packaging`
…party security issues * Bump `docker 6.1.3->7.1.0` * Bump `responses 0.23->0.25.3` * Bump `black 22.12.0->24.4.2` * Bump `notebook 6.5.6->7.2.1`
* Add `scikeras~=0.13.0` dependency * Use `scikeras.wrappers.KerasRegressor` instead of removed `tensorflow.keras.wrappers.scikit_learn import KerasRegressor`
…kwargs` in `KerasBaseEstimator`
…zers.get(optimizer)` in autoencoders
…zers.get(optimizer)` in autoencoders
…zers.get(optimizer)` in autoencoders
…tor.__getstate__`
…tor.__getstate__`
This is due to the fact that `TransformedTargetRegressor` receives a `regressor` as input, then clones it for every `fit` and sets it to `regressor_`, leaving the original `regressor` uninitialized forever.
…delRegressor` docstring
…` in `_extract_metadata_from_model`
…mator` and children Also adjust tests
koropets
reviewed
Jul 8, 2024
| @@ -1,6 +1,5 @@ | |||
| dictdiffer~=0.8 | |||
| dataclasses-json~=0.3 | |||
| gunicorn~=22.0 | |||
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I would keep this dependency. I know this is a transitional dependency through mlflow, but mlflow is extras_require. A user can install gordo without it
koropets
approved these changes
Jul 9, 2024
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Main dependencies
TensorFlow 2.12.1->2.16.1catboost 1.2.2->1.2.5mlflow 2.9.2->2.12.2azureml-core 1.49.0->1.56.0gunicornandpackagingscikeras~=0.13.0dependencyTest dependencies
docker 6.1.3->7.1.0responses 0.23->0.25.3black 22.12.0->24.4.2notebook 6.5.6->7.2.1Changes to accomodate
scikeras.wrappers.KerasRegressorinstead of removedtensorflow.keras.wrappers.scikit_learn import KerasRegressor