Open MyAdminC opened 4 months ago
Hello, I'm trying to use the NeuralForecast model, which works really well, Thanks a lot.
But I've recently run into an issue where I can't use shap to interpret: nf = NeuralForecast(models=[NHITS_modle], freq=1)
I think this may be because the model itself is encapsulated by NeuralForecast. Because I've seen shap used in Mlforecast, and that work well.
I tried using the following code:
X = Y_df.drop(columns=['unique_id', 'ds', 'y']) X100 = shap.utils.sample(X, 100)
explainer = shap.Explainer(nf.models[0].predict, X100) shap_values = explainer(X)
But the last line throws up all sorts of errors, Any advice would be greatly appreciated!
No response
Description
Hello, I'm trying to use the NeuralForecast model, which works really well, Thanks a lot.
But I've recently run into an issue where I can't use shap to interpret: nf = NeuralForecast(models=[NHITS_modle], freq=1)
I think this may be because the model itself is encapsulated by NeuralForecast. Because I've seen shap used in Mlforecast, and that work well.
I tried using the following code:
X = Y_df.drop(columns=['unique_id', 'ds', 'y']) X100 = shap.utils.sample(X, 100)
explainer = shap.Explainer(nf.models[0].predict, X100) shap_values = explainer(X)
But the last line throws up all sorts of errors, Any advice would be greatly appreciated!
Use case
No response