Comments (3)
Yes an update to this library is needed, this has laready been reported
from scikeras.
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!
from scikeras.
This should be fixed now. Please let me know if this is still not fixed with SciKeras 0.13.0. Thanks!
from scikeras.
Related Issues (20)
- Citation HOT 1
- SecOps: Security issues found with grPC lib HOT 5
- Bug not fixed yet HOT 1
- Can't load saved model (UnicodeDecodeError) HOT 1
- where to enter `validation_data=(test_x, test_y)` when using KerasRegressor() wrapper HOT 2
- Wrapping custom model subclassing `tf.keras.Model` does not work
- Randomized Seach CV is not working with KerasRegressor HOT 1
- String "loss" being passed to metric_name() instead of loss func name HOT 9
- ValueError: Invalid filepath extension for saving. Please add either a `.keras` extension for the native Keras format (recommended) or a `.h5` extension. HOT 9
- Keras 3 support HOT 6
- TypeError: OneHotEncoder.__init__() got an unexpected keyword argument 'sparse' HOT 9
- How pass a number of neurons in the model for KerasClassifier :Invalid parameter neurons for estimator KerasClassifier.
- SciKeras 0.13.0 / keras 3.2.1 - ModuleNotFoundError: No module named 'keras.src' HOT 2
- Invalid parameter 'model' for estimator KerasRegressor HOT 2
- Working Scikeras Classifer model now broken with scikeras 0.13. AttributeError: 'Sequential' object has no attribute 'compiled'. HOT 7
- Multi-backend scikeras (Tensorflow, Jax, Pytorch) HOT 2
- Can't serialize a KerasClassifier object after fitting HOT 1
- Extracting the underlying Keras model from the wrapper HOT 2
- How to apply data augmentation? HOT 7
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from scikeras.