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I was following this [tutorial](https://slundberg.github.io/shap/notebooks/plots/dependence_plot.html) and tried to plot shap dependent plot. However, the plot I got are missing the color bar as shown…
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I have tried running shap on a lightgbm model which has a training set size of 40k with 400 features and a test set of 90k. I have not yet been able to get output from shap because it seems prohibitiv…
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Hi, I'm trying to use Eli5 for explaining an LSTM keras model for time series prediction. The keras model receives as input an array with shape (nsamples, timesteps, nfeatures).
This is my code:
…
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The Gaussian Loss function is not logging the forecast plots at present. It is unclear why this is exactly. Code should be updated for it to log the forecast plots. Additionally we should look at logg…
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# shap value
[[nan nan nan ... nan nan nan]
[nan nan nan ... nan nan nan]
[nan nan nan ... nan nan nan]
...
[nan nan nan ... nan nan nan]
[nan nan nan ... nan nan nan]
[nan nan nan ... …
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Please see issue #33 for the background.
The original code for MimicExplainer was removed in PR #53 due to it being un-runnable.
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We can visualize the feature importance by calling `summary_plot`, however it only outputs the plot, not any text.
Is there any way to output the feature names sorted by their importance defined by…
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I am trying to use the DeepExplainer with my Tensorflow model created using the model subclassing API. The model is a simply two-layer neural net. The code I run is as follows:
`e = shap.DeepExplai…
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### Willingness to contribute
Yes. I would be willing to contribute a fix for this bug with guidance from the MLflow community.
### System information
- **Running MlFlow on Databricks runtime 10.4 …