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When reducing the time series forecasting problem to a tabular regression and when the model is considered fixed once trained it would be possible in theory to pass an array of samples to `update_pred…
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In the following script I'm training a LogisticRegression model into a small classification dataset and i convert it into onnx. Then i use both sklearn and onnx runtimes to compare predicted classes a…
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![issue](https://github.com/user-attachments/assets/7dc944f3-e119-42ce-9d5a-434a41326bc6)
While using the model for classification, a ValueError is raised due to a mismatch between the feature na…
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Add support for TensorFlow models in our XAI package. Currently, we only support scikit-learn models.
Approach
- Create a wrapper class for TensorFlow models
- Implement prediction interface to…
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tune currently uses the specified metric sets to determine what types of predictions are being made. For example, for a binary classification model, we might only request "class metrics" (e.g. sensiti…
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### Model
ADMET properties prediction - eos7d58
### Molecules
COc1ccc(c(oc2cc(O)c(OC)c(O)c23)c(OC)c3=O)cc1
OCC1C(O)C(O)C(O)C(OC2=C(O)C=C(COC(C3=CC(O)=C(O)C(O)=C3OC4=CC(C(OCC5=CC(O)=C(OC6C(O)C(O)C(…
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Use BMI to predict a person's body fat through regression analysis, fitting a model and making predictions for new data.
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Problem Description:
Developing a new machine learning model for improving the accuracy and performance of stock price predictions. The challenge lies in modeling the highly volatile nature of stoc…
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### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
tensorflow==2.15.0.post1
### Custom code
Yes
### OS platform and dist…
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Is it possible to use a predictive model for generating depth maps? If so, what are some recommended approaches or models that can effectively predict depth information from images or video sequences?