Ilya Matiach
Ilya Matiach
@kannanthiru1 just looking at the code the main issue you are having is that you are not using the automl_explain_utilities. Please see the guide: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-interpretability-automl you need to wrap your...
@kannanthiru1 hi, I reached out to the AutoML timeseries forecasting team and they replied that this is indeed expected. SeasonalAverage is a naive model, and the features are not used...
@lucazav I believe the issue with the bad cuML error message appeared in interpret-community 0.18.0 and was fixed in 0.21.0: https://github.com/interpretml/interpret-community/pull/450 See description: > Based on experience of debugging with...
@SelComputas currently there is an image explainer in the contrib package azureml-contrib-explain-model package but I wouldn't recommend it, as there is no visualization dashboard for it yet. We have an...
@pk2005 currently we don't have image support yet, sorry. However, there is a hierarchical image explainer available in SHAP github repository (https://github.com/slundberg/shap) which works well for images. If you are...
@ocworld I believe https://github.com/Azure/mmlspark/issues/569 is already fixed, and this is a different issue. I think this might either be due to faulty network connection or possibly out of memory, but...
hi @ocworld "can I create pull request to you" sure, feel free to create a pull request to mmlspark repository with any new features you might have "It is hard...
@shoaibpatel4u with new synapseml version you should now get deterministic results. You need to set seed=777 and deterministic=True. You can set any other parameters through the new passThroughArgs parameter @svotaw...
interesting, I've seen similar issues reported where setting the tree depth or number of leaves seemed to resolve the large predictions, not sure if it's related to the specific issue(s)...
@user673 @AllardJM I've found the last iteration is sometimes creating a bad tree that seems to predict inf values, I've created an issue in lightgbm repo to track this: https://github.com/microsoft/LightGBM/issues/4178...