[scikit-learn] Renaming subject lines if you get a digest

Dale T Smith Dale.T.Smith at macys.com
Wed Dec 14 08:08:52 EST 2016 

Please rename subjects if you use the digest – now the thread is not complete in the archive. Others will have a harder time benefitting from answers.


__________________________________________________________________________________________________________________________________________
Dale T. Smith | Macy's Systems and Technology | IFS eCom CSE Data Science
5985 State Bridge Road, Johns Creek, GA 30097 | dale.t.smith at macys.com

From: scikit-learn [mailto:scikit-learn-bounces+dale.t.smith=macys.com at python.org] On Behalf Of Graham Arthur Mackenzie
Sent: Tuesday, December 13, 2016 5:02 PM
To: scikit-learn at python.org
Subject: Re: [scikit-learn] scikit-learn Digest, Vol 9, Issue 42

⚠ EXT MSG:
Thanks for the speedy and helpful responses!

Actually, the thrust of my question was, "I'm assuming the fit() method for all three modules work the same way, so how come the example code for DTs differs from NB, SVMs?" Since you seem to be saying that it'll work either way, I'm assuming there's no real reason behind it, which was my suspicion, but just wanted to have it confirmed, as the inconsistency was conspicuous.

Thanks!
GAM

ps, My apologies if this is the improper way to respond to responses. I am receiving the Digest rather than individual messages, so this was the best I could think to do...

On Tue, Dec 13, 2016 at 12:38 PM, <scikit-learn-request at python.org<mailto:scikit-learn-request at python.org>> wrote:
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Today's Topics:

   1. Why do DTs have a different fit protocol than NB and SVMs?
      (Graham Arthur Mackenzie)
   2. Re: Why do DTs have a different fit protocol than NB and
      SVMs? (Jacob Schreiber)
   3. Re: Why do DTs have a different fit protocol than NB and
      SVMs? (Stuart Reynolds)
   4. Re: Why do DTs have a different fit protocol than NB and
      SVMs? (Vlad Niculae)


----------------------------------------------------------------------

Message: 1
Date: Tue, 13 Dec 2016 12:14:43 -0800
From: Graham Arthur Mackenzie <graham.arthur.mackenzie at gmail.com<mailto:graham.arthur.mackenzie at gmail.com>>
To: scikit-learn at python.org<mailto:scikit-learn at python.org>
Subject: [scikit-learn] Why do DTs have a different fit protocol than
        NB and SVMs?
Message-ID:
        <CAGUvBb72XoZgcuiUAxucmZ9FckirZLLnv3Zm4aw5tCSF-6GHtw at mail.gmail.com<mailto:CAGUvBb72XoZgcuiUAxucmZ9FckirZLLnv3Zm4aw5tCSF-6GHtw at mail.gmail.com>>
Content-Type: text/plain; charset="utf-8"

Hello All,

I hope this is the right way to ask a question about documentation.

In the doc for Decision Trees
<http://scikit-learn.org/stable/modules/tree.html#tree>, the fit statement
is assigned back to the classifier:

clf = clf.fit(X, Y)

Whereas, for Naive Bayes
<http://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html>
 and Support Vector Machines
<http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html>,
it's just:

clf.fit(X, Y)

I assumed this was a typo, but thought I should try and verify such before
proceeding under that assumption. I appreciate any feedback you can provide.

Thank You and Be Well,
Graham
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Message: 2
Date: Tue, 13 Dec 2016 12:23:00 -0800
From: Jacob Schreiber <jmschreiber91 at gmail.com<mailto:jmschreiber91 at gmail.com>>
To: Scikit-learn user and developer mailing list
        <scikit-learn at python.org<mailto:scikit-learn at python.org>>
Subject: Re: [scikit-learn] Why do DTs have a different fit protocol
        than NB and SVMs?
Message-ID:
        <CA+ad8Ev87kFsDfkX8xUsoLFpa9x=W3Kr_wG3ue47WosO=JoZtw at mail.gmail.com<mailto:JoZtw at mail.gmail.com>>
Content-Type: text/plain; charset="utf-8"

The fit method returns the object itself, so regardless of which way you do
it, it will work. The reason the fit method returns itself is so that you
can chain methods, like "preds = clf.fit(X, y).predict(X)"

On Tue, Dec 13, 2016 at 12:14 PM, Graham Arthur Mackenzie <
graham.arthur.mackenzie at gmail.com<mailto:graham.arthur.mackenzie at gmail.com>> wrote:

> Hello All,
>
> I hope this is the right way to ask a question about documentation.
>
> In the doc for Decision Trees
> <http://scikit-learn.org/stable/modules/tree.html#tree>, the fit
> statement is assigned back to the classifier:
>
> clf = clf.fit(X, Y)
>
> Whereas, for Naive Bayes
> <http://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html>
>  and Support Vector Machines
> <http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html>,
> it's just:
>
> clf.fit(X, Y)
>
> I assumed this was a typo, but thought I should try and verify such before
> proceeding under that assumption. I appreciate any feedback you can provide.
>
> Thank You and Be Well,
> Graham
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org<mailto:scikit-learn at python.org>
> https://mail.python.org/mailman/listinfo/scikit-learn
>
>
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Message: 3
Date: Tue, 13 Dec 2016 12:33:48 -0800
From: Stuart Reynolds <stuart at stuartreynolds.net<mailto:stuart at stuartreynolds.net>>
To: Scikit-learn user and developer mailing list
        <scikit-learn at python.org<mailto:scikit-learn at python.org>>
Subject: Re: [scikit-learn] Why do DTs have a different fit protocol
        than NB and SVMs?
Message-ID:
        <CAAy-kdnQ3t3gH=BbjwD_n7Zr+9gnV-X34Eke=fc=ysiW6zidrw at mail.gmail.com<mailto:ysiW6zidrw at mail.gmail.com>>
Content-Type: text/plain; charset="utf-8"

I think he's asking whether returning the model is part of the API (i.e. is
it a bug that SVM and NB don't return self?).

On Tue, Dec 13, 2016 at 12:23 PM, Jacob Schreiber <jmschreiber91 at gmail.com<mailto:jmschreiber91 at gmail.com>>
wrote:

> The fit method returns the object itself, so regardless of which way you
> do it, it will work. The reason the fit method returns itself is so that
> you can chain methods, like "preds = clf.fit(X, y).predict(X)"
>
> On Tue, Dec 13, 2016 at 12:14 PM, Graham Arthur Mackenzie <
> graham.arthur.mackenzie at gmail.com<mailto:graham.arthur.mackenzie at gmail.com>> wrote:
>
>> Hello All,
>>
>> I hope this is the right way to ask a question about documentation.
>>
>> In the doc for Decision Trees
>> <http://scikit-learn.org/stable/modules/tree.html#tree>, the fit
>> statement is assigned back to the classifier:
>>
>> clf = clf.fit(X, Y)
>>
>> Whereas, for Naive Bayes
>> <http://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html>
>>  and Support Vector Machines
>> <http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html>,
>> it's just:
>>
>> clf.fit(X, Y)
>>
>> I assumed this was a typo, but thought I should try and verify such
>> before proceeding under that assumption. I appreciate any feedback you can
>> provide.
>>
>> Thank You and Be Well,
>> Graham
>>
>> _______________________________________________
>> scikit-learn mailing list
>> scikit-learn at python.org<mailto:scikit-learn at python.org>
>> https://mail.python.org/mailman/listinfo/scikit-learn
>>
>>
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org<mailto:scikit-learn at python.org>
> https://mail.python.org/mailman/listinfo/scikit-learn
>
>
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Message: 4
Date: Tue, 13 Dec 2016 15:38:42 -0500
From: Vlad Niculae <zephyr14 at gmail.com<mailto:zephyr14 at gmail.com>>
To: Scikit-learn user and developer mailing list
        <scikit-learn at python.org<mailto:scikit-learn at python.org>>, Stuart Reynolds <stuart at stuartreynolds.net<mailto:stuart at stuartreynolds.net>>
Subject: Re: [scikit-learn] Why do DTs have a different fit protocol
        than NB and SVMs?
Message-ID: <94FAD0C4-CE95-4A1E-9079-418962D2B9C0 at gmail.com<mailto:94FAD0C4-CE95-4A1E-9079-418962D2B9C0 at gmail.com>>
Content-Type: text/plain; charset="utf-8"

It is part of the API and enforced with tests, if I'm not mistaken. So you could use either form with all sklearn estimators.

Vlad

On December 13, 2016 3:33:48 PM EST, Stuart Reynolds <stuart at stuartreynolds.net<mailto:stuart at stuartreynolds.net>> wrote:
>I think he's asking whether returning the model is part of the API
>(i.e. is
>it a bug that SVM and NB don't return self?).
>
>On Tue, Dec 13, 2016 at 12:23 PM, Jacob Schreiber
><jmschreiber91 at gmail.com<mailto:jmschreiber91 at gmail.com>>
>wrote:
>
>> The fit method returns the object itself, so regardless of which way
>you
>> do it, it will work. The reason the fit method returns itself is so
>that
>> you can chain methods, like "preds = clf.fit(X, y).predict(X)"
>>
>> On Tue, Dec 13, 2016 at 12:14 PM, Graham Arthur Mackenzie <
>> graham.arthur.mackenzie at gmail.com<mailto:graham.arthur.mackenzie at gmail.com>> wrote:
>>
>>> Hello All,
>>>
>>> I hope this is the right way to ask a question about documentation.
>>>
>>> In the doc for Decision Trees
>>> <http://scikit-learn.org/stable/modules/tree.html#tree>, the fit
>>> statement is assigned back to the classifier:
>>>
>>> clf = clf.fit(X, Y)
>>>
>>> Whereas, for Naive Bayes
>>>
><http://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html>
>>>  and Support Vector Machines
>>>
><http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html>,
>>> it's just:
>>>
>>> clf.fit(X, Y)
>>>
>>> I assumed this was a typo, but thought I should try and verify such
>>> before proceeding under that assumption. I appreciate any feedback
>you can
>>> provide.
>>>
>>> Thank You and Be Well,
>>> Graham
>>>
>>> _______________________________________________
>>> scikit-learn mailing list
>>> scikit-learn at python.org<mailto:scikit-learn at python.org>
>>> https://mail.python.org/mailman/listinfo/scikit-learn
>>>
>>>
>>
>> _______________________________________________
>> scikit-learn mailing list
>> scikit-learn at python.org<mailto:scikit-learn at python.org>
>> https://mail.python.org/mailman/listinfo/scikit-learn
>>
>>
>
>
>------------------------------------------------------------------------
>
>_______________________________________________
>scikit-learn mailing list
>scikit-learn at python.org<mailto:scikit-learn at python.org>
>https://mail.python.org/mailman/listinfo/scikit-learn

--
Sent from my Android device with K-9 Mail. Please excuse my brevity.
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