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Unfortunately, this pure python implementation is not very performant. The bottleneck is the splitting rule - In the past, I used the fastlogranktest package, but this was not maintained anymore - I will have a look at it and try to speed it up a little. |
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When I run this example in device of kaggle, it need a lot of time to get the results. My data dimensions are 499*20, and I want to get some tricks to accelerate that. Can you give me some suggestions? thanks
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