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Following the notebook (just using different data) at GoogleCloudPlatform/ai-platform-samples/blob/master/notebooks/samples/explanations/tf2/ai-explanations-tabular.ipynb
using TF2.2 and 1.0.5 releas…
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**Is your feature request related to a problem? Please describe.**
The _Use Python For..._ section of the website doesn't mention AI and Machine Learning, which would be a good selling point for Pyth…
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I use KQLMagic to train ML models. For this I need data preferably in Panda DataFrame.
My dataset has ~15 columns + 2mln rows and it takes about 2x longer to convert already retrieved data to panda t…
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https://github.com/openjournals/joss-reviews/issues/3934 Hi, I hope these comments help in improving the paper.
**Comments**
1. The paper's title could see a change. It says "PySS3: A new interpre…
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### Title
Using Explainable Artificial Intelligence (XAI) to create a real-time closed-loop stimulation
### Leaders
Syed Hussain Ather (Twitter: @SHussainAther)
### Collaborators
_No r…
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- **Infographics** such as: https://fpf.org/wp-content/uploads/2021/01/FPF_AIEcosystem_illo_03.pdf
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Deepexplainer fails with TF2.3, ok with 2.2
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Which one should we use ?
Explainable techniques, explanation methods ?
I'm not sure.
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I previously logged an enhancement for #511 - "Suggestion - Make Machine Learning Models explainable by design with ML.NET". @rogancarr kindly broke down that request into separate new enhancements.
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Hi, it's a great job to integrate random forest into a decision tree. I can successfully run your example code, but when I tried to use my own data, I'm not sure how to change the random forest model …