Feat: Upgrade tensorflow to 2.16.1 and keras to 3.4.0
#1385
Commits on Jun 26, 2024
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Feat: Upgrade
tensorflowto2.16.1andkerasto3.4.0To accommodate the upgrade, next changes to the code were made: * Since `keras 3.*` now clones the input `regressor` that is provided to the `BaseEstimator` into a `regressor_` attribute, and ONLY updates the `regressor_` one after fitting, metadata extraction in `gordo.builder.build_model.ModelBuilder` was changed to seek the `regressor_` in the `steps`. * Accessing `keras.optimizers` has changed in `keras 3.*` to having to use the `keras.optimizers.get` method and providing a `class_name` and `config` to deserialize. Relevant for lstm and feedforward autoencoders. * Model config now requires for `tensorflow.keras.models.Sequential` to define `input_shape` in its layers, otherwise model is not properly built after compiling and prior to fitting. Relevant for `KerasRawModelRegressor`. `KerasBaseEstimator` underwent the most changes. * We now need to run the `__init__` of the KerasRegressor with the expected `kwargs` for proper initialisation of the object, but the `kwargs` will always take precedence for `fit`, `predict` and `compile`, so they are mostly for making `keras` happy. * Saving model for pickling was changed ƒrom `h5` format, which is now considered legacy to `keras` native zip format, and the file is now stored to a temporary file and read into a buffer instead of using the `h5py` library, since `save_model` and `load_model` now exclusively expect an actual file instead of an io buffer. * Current implementation of model preparation for fit depends on the `__call__` method, which is no longer used in `keras 3.*`, and was changed to `_prepare_model` to replicate the same behaviour right before we call our own `fit` since it requires the `X` and `Y` to be present to set the `n_features` and `n_features_out`. * `History` is no longer returned from calling `fit` and must be extracted from under `model.history`. * Manually stored history now resides in `self._history` instead of `self.history` to avoid attribute name clash. Adjustments to tests were made: * `input_shape` now resides under `input.shape` in `model.layers`. * `optimizer_kwargs.lr` is now `optimizer_kwargs.learning_rate`
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Fix: remove
input_shapefrom subsequent layers in `KerasRawModelReg……ressor` `layers`
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