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Would be great to access all genome-wide [ENFORMER](https://www.nature.com/articles/s41592-021-01252-x) predictions via API. This should be possible since the predictions are shared as [h5 files here…
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I downloaded the pretrained model you provided and loaded it.([https](https://drive.google.com/drive/folders/1iEEMr2DYofulK2F5pSErOPf5ggrEqtJt?usp=sharing) : [//drive.google.com/drive/folders/1iEEMr2D…
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I'm trying to finetune the model with my own data from the provided pretrained model checkpoint model.ckpt-73018,
but getting this weird issue: First (until about 500 steps) the model seems to find o…
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hi,
after training the model, how to explain the predictions, any example code for implementation of LIME or any other library to explain predictions for image classifier(pytorch)
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Problem:
I am training a classification model with lots of categorical features using spark. I want to use this model for inference in pure Scala. I cannot seem to find a way to reproduce the spark p…
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We use spark to generate libsvm file, then use python sklearn to load it and xgboost to train and save model， finaly use leaves load it and predict.
the predict result was total incorrect between py…
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Hi,
The Waterfall plot example from git does not work with RandomForestRegressor and throws this error:
`Exception: waterfall_plot requires a scalar base_values of the model output as the first …
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I am using the batch feature to deploy multiple independent GPs, but the loss can only be computed for one GP heads per training example. Here is how I implemented it:
``` Python
# inputs dimension:…
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#### Specific Task:
You are building a federated learning system for processing patient journals and emotion-related data. Your key challenge is maintaining privacy while correlating text data to emo…
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We have custom models that requires passing mandatory parameter field for prediction.
Now this works for online predictions via endpoint in POST request,
but for batch predictions we have to creat…