Timeline for How to use validation dataset in my logistic regression model?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 1, 2020 at 8:22 | comment | added | DeepakS | Can you provide me the reading material where I can find the implementation of this? | |
| Oct 1, 2020 at 8:04 | comment | added | David | @DeepakSonker So you will save the current best loss/acc and for each time you evaluate the results on the validation set you will examine the new results. if its better save the model if not skip; or something similar | |
| Oct 1, 2020 at 7:56 | vote | accept | DeepakS | ||
| Oct 1, 2020 at 7:39 | comment | added | DeepakS | How to use the best loss to test the test_data? how will I implement that loss in my code? I am really confused. I have not done this previously. | |
| Oct 1, 2020 at 7:34 | vote | accept | DeepakS | ||
| Oct 1, 2020 at 7:55 | |||||
| Oct 1, 2020 at 7:30 | comment | added | David | @DeepakSonker you need to do the separation beforehand, and at the moment you have x,y data but there is no distinction between the training and validation | |
| Oct 1, 2020 at 7:26 | comment | added | DeepakS | Thank you for your answer. What is the purpose of writing x_val and y_val inside fit? In the separate method can I pass the x_val and y_val and then compute the loss? | |
| Oct 1, 2020 at 5:36 | history | answered | David | CC BY-SA 4.0 |