GLAMs (Galleries, Libraries, Archives and Museums) fastai study group

Deep Learning
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Zoom details for this evening:

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Meeting ID: 986 6413 5223
Passcode: 807268

70

:rotating_light: A reminder that we’ll have the call for lesson 6 this Tuesday (google calendar link to future calls) As usual I’ll post the zoom link here on Tuesday.

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Apologies - I can’t attend this one. (But look forward to meeting in fortnight’s time when I’ll be in hotel quarantine in Sydney and looking for relief from boredom and a view of the harbour!)
Susan

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Zoom details for this evening:

Topic: fastai4glams call lesson 6
Time: Nov 17, 2020 05:00 PM London

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Meeting ID: 925 3405 2670
Passcode: 160613

73

No worries, see you next time and hope the quarantine is not too dull!

74

A note for the next session (lesson 7) thanks to @AdamF

There appear to be several issues in fastbook/clean/09_Tabular.ipynb that have been reported in the forum, but not in github issues. This issue aggregates them together.

I confirmed that all of them occur in the version included in the fastdotai/fastai-course docker image of 19-Nov-2020. I presume that the official docker image version of the course should run through cleanly without any errors.

  • Some supporting modules are not installed: pip install kaggle waterfallcharts treeinterpreter dtreeviz (forum article)
  • Downloading the kaggle file bluebook-for-bulldozers does not appear to work from python. There are multiple reports of this (including here) with the workaround being to download manually via the browser or via the commandline (kaggle competitions download -c bluebook-for-bulldozers).
  • The code to download also fails because it tries to create a directory but needs a parents=True added to path.mkdir (see).
  • The load/save pickle method should be changed to load_pickle/save_pickle (reported a couple of times on the forum including here)
  • m_rmse(m, xs_filt2, y_filt), m_rmse(m2, valid_xs_time2, valid_y) raises an error. xs_filt2 should be xs_filt. as in m_rmse(m, xs_filt, y_filt), m_rmse(m2, valid_xs_time2, valid_y) (see here).
  • procs_nn = [Categorify, FillMissing, Normalize] causes an error in the following line. The suggested work-around is to remove Normalize from the list (see here)

I haven’t tried running the notebooks yet but hopefully the above will help with debugging any issues you come across

1 Like
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Hey @Danielvs. Nice Summary here.
However for the Normalize issue workaround, this solution seems to work better.

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thanks for sharing that :slight_smile:

1 Like
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:rotating_light: A reminder that we’ll have the call for lesson 7 this Tuesday (google calendar link to future calls) As usual I’ll post the zoom link here on Tuesday.

78

Apoogies @Danielvs - I won’t make it to the mtg today.
Susan

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Link for the call this evening:

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Meeting ID: 984 9293 3442
Passcode: 474931

80

No worries, see you next time

81

Sorry - looks like I’m not going to be able to make it this time. See you next time!

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Hi all,

I suggest we take a break with the calls until the new year and start back up on the week of the 12th of January. I personally have some course homework catch-up to do so I will try and use some of my upcoming holidays to get caught up!

I’ll make sure to post a reminder in Jan for the first session of the new year.

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I think that’s a great idea. I actually just got caught up on watching all of the lectures on YouTube over the weekend, but it would be nice to go back and try some of the code assignments.

Just to clarify (and maybe for the benefit of anyone new who stumbles upon this thread), which lesson will be covering on January 12?

I hope everyone here has a great holiday break!

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I suggest we pick up again from lesson 7 :slight_smile:

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Happy new year everyone! Hope everyone managed to have a good break. Just a reminder we’ll meet again on January 12th to discuss lesson 7. As usual, I’ll post zoom link on the day.

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There is currently a call from European for the assembly of Artificial Intelligence/ Machine Learning (AI/ML) datasets drawn from the extensive collections on the Europeana website.

I hope some of you will submit an application :slight_smile:

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Zoom details for later

https://turing-uk.zoom.us/j/94966641522?pwd=TXR1VW4zWXRhNlhuemdmOGprR29GUT09

Meeting ID: 949 6664 1522
Passcode: 428917

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Hi,

I’m afraid I can’t make the call today due to a conflicting call. I’ve just watched lesson 7 which I found really useful and more approachable than some of the other sessions. One thing I’d like to hear if your able to discuss it on the call is, examples of Cultural Heritage datasets that might work well with these tabular prediction methods.

Thanks hope the call goes well.

Glen