Sayak Paul | sayak.dev ---------- Forwarded message --------- From: <scikit-learn-request@python.org> Date: Fri, Sep 13, 2019 at 10:46 AM Subject: scikit-learn Digest, Vol 42, Issue 15 To: <scikit-learn@python.org> Send scikit-learn mailing list submissions to scikit-learn@python.org To subscribe or unsubscribe via the World Wide Web, visit https://mail.python.org/mailman/listinfo/scikit-learn or, via email, send a message with subject or body 'help' to scikit-learn-request@python.org You can reach the person managing the list at scikit-learn-owner@python.org When replying, please edit your Subject line so it is more specific than "Re: Contents of scikit-learn digest..." Today's Topics: 1. Re: scikit-learn Digest, Vol 42, Issue 14 (Sayak Paul) ---------------------------------------------------------------------- Message: 1 Date: Fri, 13 Sep 2019 10:46:09 +0530 From: Sayak Paul <spsayakpaul@gmail.com> To: scikit-learn@python.org Subject: Re: [scikit-learn] scikit-learn Digest, Vol 42, Issue 14 Message-ID: <CAGa_XGHgifW7W81-dVv3R3e80Nz2BVx=eWiKv52oRf-BS+RjXw@mail.gmail.com> Content-Type: text/plain; charset="utf-8" I was able to solve the problem using - mlb = MultiLabelBinarizer() mlb.fit([y_train]) Thanks for the suggestions. The output of mlb.classes_ now looks the following (first ten classes): [image: image.png] However, when I transform it using mlb.transform([y_train]), another problem arrises - [image: image.png] Kindly suggest :) Sayak Paul | sayak.dev On Thu, Sep 12, 2019 at 9:33 PM <scikit-learn-request@python.org> wrote:

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Today's Topics:

1. Re: MultiLabelBinarizer gives individual characters instead of the classes (Lo?c Est?ve) 2. Re: Vote on SLEP009: keyword only arguments (Guillaume Lema?tre) 3. How can I enable line tracing for cython modules. (Alejandro Javier Peralta Frias)

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Message: 1 Date: Thu, 12 Sep 2019 07:24:48 +0200 From: Lo?c Est?ve <loic.esteve@ymail.com> To: Scikit-learn mailing list <scikit-learn@python.org> Subject: Re: [scikit-learn] MultiLabelBinarizer gives individual characters instead of the classes Message-ID: <vnokwoeeozmn.fsf@ymail.com> Content-Type: text/plain; charset=utf-8

I think this caveat has been added in the dev doc (not yet in the stable doc). You may want to read:

https://scikit-learn.org/dev/modules/generated/sklearn.preprocessing.MultiLa...

and in particular the part that starts with "A common mistake is to pass in a list".

Cheers, Lo?c

...

Hi.

I am working on a Multi-label text classification problem. In order to encode the labels, I am using MultiLabelBinarizer. The labels of the dataset look like -

image

When I am using

mlb = MultiLabelBinarizer() mlb.fit(labels) print(mlb.classes_)

I am getting -

image

Whereas, the output (sample output) I want is -

image

I got the above output by -

mlb = MultiLabelBinarizer() sample_labels = [ ['stat.ML', 'cs.LG'], ['cs.CV', 'cs.RO'] ] mlb.fit(sample_labels) print(mlb.classes_)

Help would be very much appreciated here.

Here's the dataset I had prepared: arXivdata.csv.zip

I stripped away the double quotes in the labels after loading it in a pandas DataFrame by -

import re

arxiv_data['labels'] = arxiv_data['labels'].str.replace(r"[\"]", '')

scikit-learn version: '0.21.3'

Sayak Paul | sayak.dev

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Message: 2 Date: Thu, 12 Sep 2019 10:06:30 +0200 From: Guillaume Lema?tre <g.lemaitre58@gmail.com> To: Scikit-learn mailing list <scikit-learn@python.org> Subject: Re: [scikit-learn] Vote on SLEP009: keyword only arguments Message-ID: < CACDxx9jCkE5GAjRNj3TKinbuyWZQvXMrrcHBBqn6q_FXYdPrbQ@mail.gmail.com> Content-Type: text/plain; charset="utf-8"

To the question: do we want to utilise Python 3's force-keyword-argument syntax and to change existing APIs which support arguments positionally to use this syntax, via a deprecation period?

I am +1.

IMO, even if the syntax might be unknown, it will remain unknown until projects from the ecosystem are not using it.

To the question: which methods should be impacted?

I think we should be as gentle as possible at first. I am a little concerned about breaking some codes which were working fine before.

On Thu, 12 Sep 2019 at 04:43, Joel Nothman <joel.nothman@gmail.com> wrote:

...

These there details of specific API changes to be decided:

The question being put, as per the SLEP, is: do we want to utilise Python 3's force-keyword-argument syntax and to change existing APIs which support arguments positionally to use this syntax, via a deprecation period? _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

-- Guillaume Lemaitre INRIA Saclay - Parietal team Center for Data Science Paris-Saclay https://glemaitre.github.io/