Training with a small fraction of the dataset?

[GrahamAcademy (Robin Graham)]

I figured it out in case anyone wants to do the same thing.

Add a use_partial_data to the data block api

I have created a new functionality for the datablock api that works as follows: item_list = (JSONImageItemList.from_folder(PATH/'train', extensions=[".txt"]) .use_partial_data(0.001, seed=seed) #New Functionality. This would select a random 0.1% of the total records. .random_split_by_pct(0.1, seed=seed) .label_from_folder() .add_test(ItemList.from_folder(PATH/'test')) .databunch()) I used the random_split_by_pct as a guide. H…

It was already here I just didn’t know what to search for! 100 tabs and a half a day later and I found this.