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Create an option in RF to get confidence bands. Base the results on building some sort of kernel density estimate from each tree.
Classification and regression.
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Currently the monotone constraints is available for xgboost and gbm. It would be great if this feature can be added to DRF to ensure local monotonicity. Currently there is no R package can achieve thi…
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Random forests model is mentioned in the FedTree draft paper, could you please add some example code for that
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The Random Forest Classification requires at least 5% of the data to be kept apart for 'validation'. This is additional to the min. 5% test data.
However, it looks to me that these validation sample…
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~~https://kroonstazy.medium.com/~~
https://kroonstazy.medium.com/boost-model-44bab32f7801
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**What is your question?**
Hi,
I have pretrained several Random Forest (RF) models using cuRFC.
I need to iterate through these models to make predictions and add the results to a DataFrame.
Ho…
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Use Nvidia MPS and tune kernel core count to per-kernel optimal (found don't need to use all cores before). Then MPS will allow non-serial (i.e. parallel) overlap of kernels and use cores more effici…
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I was trying to run the test on my local spark but the code is not working. I've pasted the exact code which I ran down below and it breaks at the last line, `compare_results(expected, output, decimal…
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## 💥 Proposal
Prerequisites
- I am GSSOC'23 Contributor
Description
- This project aim to help the farmers to decides which crop they have to grow in the particular condition and environme…