K-fold Cross Validation with PyTorch

 By MachineCurve - 2021-02-02

Description

Explanations and code examples showing you how to use K-fold Cross Validation for Machine Learning model evaluation/testing with PyTorch.

Summary

  • How to use K-fold Cross Validation with PyTorch?
  • Using the training batches, you can then train your model, and subsequently evaluate it with the testing batch.
  • With this technique, you simply take a part of your original dataset, set it apart, and consider that to be testing data.
  • Generally, what I would now do often is to retrain the model with the full dataset, without evaluation on a hold-out split (or with a really small one – e.g.
  • 5%).

 

Topics

  1. Machine_Learning (0.25)
  2. Backend (0.2)
  3. NLP (0.14)

Similar Articles