Notebooks

[APJansen]

I've made all the notebooks in the tutorials folder runnable from colab, by adding at the start of each of them the code block below, only varying the paths_to_download between them. I did this rather than cloning the entire repo as the latter took the setup time from almost 1 to almost 2 minutes.

In lime_images, the example image uses a variable true_species suggesting other options, but in the data there is only the one given, so I hardcoded the colab setup to download that one.

I've tested that they all run on colab. Having some issues running some locally, mostly complaints that lime doesn't exist, but that must be something outdated in my environment, as nothing changed when it runs locally.

Also added links on the tutorial page.

running_in_colab = 'google.colab' in str(get_ipython())
if running_in_colab:
  # install dianna
  !python3 -m pip install dianna
  
  # download data used in this demo
  import os 
  base_url = 'https://github.com/raw/dianna-ai/dianna/main/tutorials/'
  paths_to_download = ['models/season_prediction_model_temp_max_binary.onnx']
  for path in paths_to_download:
      local_directory = os.path.dirname(path)
      os.makedirs(local_directory, exist_ok=True)
      !wget {base_url + path} -O {path}

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[APJansen]

Btw, the colab buttons point to the notebooks in the main branch, so before this is merged they won't work.

[stefsmeets]

Line #4.      !python3 -m pip install dianna

I think you will want to install all the notebook dependencies for dianna here (and all the other notebooks too).

!python3 -m pip install dianna[notebooks]

If this turns out to be a bottleneck, you could consider specifying the additional requirements here directly (e.g. spacy).

!python3 -m pip install dianna spacy

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[APJansen]

Oh good point, it seems that everything we need is installed by default in Colab, but I suppose it's cleaner to add it to be sure, it doesn't take much time.

[stefsmeets]

Nice work, let's see how this works when it gets merged.

I added a small comment about the table in the readme, which is a bit difficult to read.

While Github was down I was playing with wget. You can use -P to tell wget the directory to put the file you are retrieving. Saves a couple of lines :-)

    for path in paths_to_download:
        !wget {base_url + path} -P {os.path.dirname(path)}

[stefsmeets]

I like the table, but as a user all the Open in Colab buttons do not help me identify the notebooks. Could you change these to reflect the title or theme of the notebook?

I don't think it's possible to customize the badges (maybe https://shields.io has some). Otherwise, could you just put the link, for example:

RISE - MNIST dataset, RISE - Imagenet dataset