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Hello,
I'm running a categorical multiclass keras model and trying to implement SHAP for explanations. My dataset size:
`Overall - (648422, 141)`
`Train - (518737, 141)`
`Test - (129685, 141)`
…
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currently stacking_cv_regression.py uses X, y = check_X_y(X, y, accept_sparse=['csc', 'csr']) which checks for numeric input.
However if the first layer models perform a categorical encoding it is p…
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### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
binary
### TensorFlow version
tf2.14
### Custom code
Yes
### OS platform and distribution
_No resp…
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I am use tfp *-Flipout layers to construct a Bayesian neural network (BNN) and combine it with keras.fit to train. I am using a very similar way to define a BNN structure as a CNN but the keras.fit() …
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I get the following error after running an embedding layer as;
`Embedding(23624, 50, input_length=5, trainable=False)`
> InvalidArgumentError (see above for traceback): **indices[6,4]** = 23624 …
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**System information**.
- Have I written custom code (as opposed to using a stock example script provided in Keras): not really
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 22.0…
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Dear all,
I am fitting MixedModels for large single cell datasets.
One approach to test for covariates is to drop a single coefficient from the modelmatrix, which belongs to one level of a catego…
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## ❓ Questions and Help
Hello. I have developed a model with three inputs types. Image, categorical data and numerical data. For Image data I've used ResNet50 for the other two I develop my own netwo…
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest version of pandas.
- [X] (optional) I have confirmed this bug exists on t…
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Hi all,
As most of you know, I recently released {marginaleffects}, a package with functionality that overlaps and (I think/hope) complements {modelbased} and {ggeffects}:
https://vincentarelbun…