Comments (7)
Would you mind providing a self contained reproducible example? Thanks!
from scikeras.
Absolutely, I will work that up for you.
from scikeras.
https://colab.research.google.com/drive/1-fujpU2gwur6PxTQPJvXxwG_jiDCEiLd?usp=sharing
It looks like scikeras 0.13 is not compatible with keras 2, and scikeras 0.12 is not compatible with keras 3. Is this the case?
from scikeras.
Yes. I can’t maintain compatibility with two major versions unfortunately.
from scikeras.
Thank you!
from scikeras.
No further question.
from scikeras.
I'm glad we figured it out and I'm sorry about not being able to support older major versions :(
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.
- OneHotEncoder no longer uses `sparse` keyword HOT 3
- SciKeras 0.13.0 / keras 3.2.1 - ModuleNotFoundError: No module named 'keras.src' HOT 2
- Invalid parameter 'model' for estimator KerasRegressor HOT 2
- 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.