Closed jamesmyatt closed 5 months ago
Don't think it's working with keras 3, getting the following error with keras==3.0.5 scikeras==0.12.0 scikit-learn==1.4.1.post1 tensorflow==2.16.1
Expected: No Exception to be thrown
But was: <Python.Runtime.PythonException: Could not interpret metric identifier: loss
File "/opt/miniconda3/lib/python3.11/site-packages/keras/src/metrics/__init__.py", line 204, in get
raise ValueError(f"Could not interpret metric identifier: {identifier}")
File "/opt/miniconda3/lib/python3.11/site-packages/scikeras/utils/__init__.py", line 111, in metric_name
fn_or_cls = keras_metric_get(metric)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/miniconda3/lib/python3.11/site-packages/scikeras/wrappers.py", line 531, in _fit_keras_model
key = metric_name(key)
^^^^^^^^^^^^^^^^
File "/opt/miniconda3/lib/python3.11/site-packages/scikeras/wrappers.py", line 536, in _fit_keras_model
raise e
File "/opt/miniconda3/lib/python3.11/site-packages/scikeras/wrappers.py", line 928, in _fit
self._fit_keras_model(
File "/opt/miniconda3/lib/python3.11/site-packages/scikeras/wrappers.py", line 760, in fit
self._fit(
File "/opt/miniconda3/lib/python3.11/site-packages/scikeras/wrappers.py", line 1491, in fit
super().fit(X=X, y=y, sample_weight=sample_weight, **kwargs)
It is not compatible right now but I think getting it compatible with Keras v3 (and doing cleanup along the way) would be a good milestone.
That would be great. Keras 3 should increase interest in Keras again, so it would be a great help to have this.
I started working on this: https://github.com/keras-team/keras/pull/19352
Could you please try #317 (pip install -U 'git+https://github.com/adriangb/scikeras.git@keras-3'
) and see if it fixes your problem? Thanks!
This should be fixed now. Please let me know if this is still not fixed with SciKeras 0.13.0. Thanks!
Does SciKeras work with Keras 3, which was released recently? https://keras.io/keras_3/
Are there any changes that might need to be made to SciKeras? https://keras.io/guides/migrating_to_keras_3/