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Tidymodels produces different Results

原文 2022-03-24 14:10:05 1 1 machine-learning/ tidyverse/ tidymodels

I built eight different machine learning models back in October 2021 using Tidymodels. Back then, I carefully saved the input data, my output and my.R files. Now, when I run my codes again, I get totally different outputs. I have updated my packages since October, and the only explanation that I can think of is that there has been some updates that cause the discrepancies. O wonder if others have experienced such issues and if they have been able to resolve it.

Edit: I am using the same machine and the same random seeds.

1 answers

Following @Julia Silge's clue, I installed an older version of the rsample package (version 0.0.9) and then I could reproduce all my results.

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Related Question Pytorch produces different results if I perform validation or not during the training? Why do DALEX and tidymodels provide different GOF? tidymodels roc auc results in multiple classification are affected by first level of factor seq2seq - Inference model produces drastically different results than train model on the same validation set Decision Tree produces different outputs LSTM Algorithm Produces Same Results for all Inputs scikit-learn RandomForestClassifier produces 'unexpected' results PCA method after StandardScaler produces poor results fasttext produces a different vector after training Neural Network - trained model produces inconsistent results against validation data

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Tidymodels produces different Results

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solution1 0 2022-03-24 21:00:56

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0 2022-03-24 21:00:56