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Hello,
I used the HMSC-hpc fit the model and then try cross validation:
**preds = computePredictedValues (hM =fitSepTF, nParallel = nChains, partition = single_partition)**
But I always get an …
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need to test the cross-validation method of the dataset class
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Hi @ericgoolsby!
I've noticed in an older version of the package there was a function to conduct cross validation tests of a fitted phylopars object (function: 'phylopars.crossvalidate'). I was jus…
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Thanks for your useful tool.
I want to predict the functional group with discrete case. When I run EQO_ga("d",Microbiome,trait_d,maxIter = 100), propoer results are obtained. But when run the comman…
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Dear Lin,
thanks for providing this useful toolbox. I'm trying to use it to publish a paper, here I met some problem from the reviewer. He suggested me to use the nested cross-validation.
Here I li…
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Thanks for open sourcing your work! I just had a comment on the model performance evaluation.
It looks like this package checks the best out-of-sample forecast for the last set of values of `test_s…
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Hi,
So far loving this package! Question, I am using time series data and would like to use a more sophisticated cross validation than TimeSeriesSplit offered by sklearn. Specifically, I am inter…
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Hi @rbalshaw @farnushfarhadi
Thanks for the discussion today on cross validation. I'm finding the concepts in machine learning difficult to understand and the sheer depth that you guys go into can…
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안녕하세요
ipynb 파일 마지막 8번. Cross validation의 Write your code부분 질문이 있습니다!
다양한 hyper-parameter에 대해 진행하라고 하셨는데, 기존에 주어진 hidden_size_arr, regularization_arr에 더 hyper-parameter를 추가해도 되는 것인가요? 아니면 기존에 있는 그대…
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Hi, how are you?
My name is Fernanda and I am trying to understanding your code, as my first part of my Phd, but I have a problem with a cross_validaation.py, because haven't all the files necessar…