gitgithan
gitgithan
It is taking ~40 minutes on my CPU which is unbearable. Why not use numpy? `class_ids` was pickled but not used. Here's the full code, takes < 1 second (i...
2 occurences of `feature_list` should be `dataset` instead, also 2048 should be 100. These are defined earlier in ``` num_items = 100000 num_dimensions = 100 dataset = np.random.randn(num_items, num_dimensions) dataset...
``` u = AnnoyIndex(2048) %timeit u.get_nns_by_vector(feature_list[random_image_index], 5, include_distances=True) ``` The above code appeared a few times. `u.load('data/caltech101index.ann')` is missing. Without it all returned indexes are empty. Performance measures are for...
`features = extract_features('cat.jpg', model)` is assuming it is run in colab. I suggest `features = extract_features(IMG_PATH, model)` so it also works locally off colab and uses IMG_PATH which was defined...
I didn't exhaustively test, but at least `:load src/main/scala/ch06_TvShows.scala` loaded properly. Looks like issues with using java implementations. On a related note, in `ch06_TvShows.scala` there are multiple implementations of the...
I can sense that the exercises if solved will be helpful, but i just can't figure out how to do the exercise converting TFTheOne class into functions and editting wrap...
Instructions in step 1's readme says `Select the checkbox next to Set as a pre-release, since it is representing a beta version.` However, my step 1 workflow did not trigger....
On step 1 readme, we have `Introduce a bug to be fixed later` It seems updating game text color to green is the bug as shown in ``` ## Description:...
In `5-deploy-to-prod-environment.md` it says `Step 5: Deploy to a production environment based on labels`. In `X-finish.md` it says `Deploy to a production environment based on labels`. However the exercises never...
https://www.pinecone.io/learn/composite-indexes/ has strange formatting. It also contains a significant code section. I wonder if that notebook is in the examples repository?