Re: Hide my query about covariance matrix syntax from google
Chris Angelico writes:
> On Fri, 14 Apr 2023 at 03:11, Meghna Karkera wrote:
>>
>> Respected Sir
>>
>> I kindly request you to hide my query about covariance matrix syntax from
>> google which was emailed to you a few years back as it appears on google
>> page.
>>
>> Hoping that you do the needful.
>
> These posts are public. While it's possible to ask for something to be
> removed from the official python-list archive, that won't remove it
> from Google Groups or any other third-party archive.
>
> Also, there's nothing we can do here to remove your post; you'll have
> to contact the list admins.
>
> And just in case it's of interest to you:
> https://en.wikipedia.org/wiki/Streisand_effect
It's also mirrored to Usenet (comp.lang.python). There's basically no
way to delete articles from Usenet. (The protocol includes a command to
cancel an article, but servers ignore it due to past abuse.)
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Re: Hide my query about covariance matrix syntax from google
On Fri, 14 Apr 2023 at 03:11, Meghna Karkera wrote: > > Respected Sir > > I kindly request you to hide my query about covariance matrix syntax from > google which was emailed to you a few years back as it appears on google > page. > > Hoping that you do the needful. These posts are public. While it's possible to ask for something to be removed from the official python-list archive, that won't remove it from Google Groups or any other third-party archive. Also, there's nothing we can do here to remove your post; you'll have to contact the list admins. And just in case it's of interest to you: https://en.wikipedia.org/wiki/Streisand_effect ChrisA -- https://mail.python.org/mailman/listinfo/python-list
Hide my query about covariance matrix syntax from google
Respected Sir I kindly request you to hide my query about covariance matrix syntax from google which was emailed to you a few years back as it appears on google page. Hoping that you do the needful. Dr. Meghna Raviraj Karkera -- https://mail.python.org/mailman/listinfo/python-list
Re: Covariance matrix syntax
On 25/10/20 4:49 am, Meghna Karkera wrote: Is there any syntax for covariance which uses the unbiased formula (yi-ymean)*(yj-ymean) /n...Monte Carlo method I think you have "biased" and "unbiased" backwards. The formula with n-1 is used when you want to calculate an *unbiased* estimate for a population given a sample of that population. The formula with n is used when your data consists of the entire population. Which situation do you have? (I think the "bias" parameter to numpy.cov is badly named, btw. If you're using it appropriately, setting biased=True does *not* make your result biased -- quite the contrary!) -- Greg -- https://mail.python.org/mailman/listinfo/python-list
Re: Covariance matrix syntax
If you read the documentation, there's a `bias` bool parameter. -- https://mail.python.org/mailman/listinfo/python-list
Re: Covariance matrix syntax
Is there any syntax for covariance which uses the unbiased formula (yi-ymean)*(yj-ymean) /n...Monte Carlo method On Sat, Oct 24, 2020, 21:11 Meghna Karkera wrote: > Dear Sir > > Now I figured out why there was a difference when I manually computed > covariance and when I use the np. cov syntax in python. > > The formula I used was ((yi-ymean)(yj-ymean))/n...unbiasdness. > > > The formula np.cov uses is ((yi-ymean)(yj-ymean)) /n-1. > > Thanks > > Sincerely > Meghna Raviraj Karkera > > On Mon, Oct 19, 2020, 21:30 Markos wrote: > >> Hi Meghna, >> >> I organized some tutorials about Machine Learning for Chemistry with >> Python. >> >> Where you can find some info about the use of Covariance Matrix that may >> help you. >> >> The originals are in Portugueese, but you can read using Google >> Translator: >> >> https://tinyurl.com/yybazx9n >> >> https://tinyurl.com/y29mule6 >> >> https://tinyurl.com/yxtg4tce >> >> Best Regards, >> Markos >> >> Em 19-10-2020 02:23, Meghna Karkera escreveu: >> > Dear Sir >> > >> > I am unable to find the *formula for covariance* used in np.cov syntax >> in >> > PYTHON given in link >> > https://numpy.org/doc/stable/reference/generated/numpy.cov.html. >> Could you >> > please help me out. >> > >> > Thanks >> > Meghna >> > >> > On Tue, Oct 13, 2020 at 11:46 AM Christian Gollwitzer >> > wrote: >> > >> >> Am 13.10.20 um 06:52 schrieb Meghna Karkera: >> >>> Could you let me know what is the back end calculation of this >> covariance >> >>> matrix syntax np.cov >> >>> >> >> You can look it up yourself: Go to the docs >> >> https://numpy.org/doc/stable/reference/generated/numpy.cov.html >> >> >> >> At the right hand side, just right of the function signature, there is >> a >> >> link [source]. Click there and it takes you to the implementation. >> >> >> >> Apparently it is done in straightforward Python. >> >> >> >> Christian >> >> >> >> PS: Snipped a lot of unrelated citation at the bottom >> >> >> >>> On Tue, Oct 13, 2020, 10:14 Bruno P. Kinoshita < >> >> brunodepau...@yahoo.com.br> >> >>> wrote: >> >>> [...] >> >>>> I think the np.cov is from the numpy module (imported/aliased as >> np?). >> >> -- >> >> https://mail.python.org/mailman/listinfo/python-list >> >> >> >> -- >> https://mail.python.org/mailman/listinfo/python-list >> > -- https://mail.python.org/mailman/listinfo/python-list
Re: Covariance matrix syntax
Dear Sir Now I figured out why there was a difference when I manually computed covariance and when I use the np. cov syntax in python. The formula I used was ((yi-ymean)(yj-ymean))/n...unbiasdness. The formula np.cov uses is ((yi-ymean)(yj-ymean)) /n-1. Thanks Sincerely Meghna Raviraj Karkera On Mon, Oct 19, 2020, 21:30 Markos wrote: > Hi Meghna, > > I organized some tutorials about Machine Learning for Chemistry with > Python. > > Where you can find some info about the use of Covariance Matrix that may > help you. > > The originals are in Portugueese, but you can read using Google Translator: > > https://tinyurl.com/yybazx9n > > https://tinyurl.com/y29mule6 > > https://tinyurl.com/yxtg4tce > > Best Regards, > Markos > > Em 19-10-2020 02:23, Meghna Karkera escreveu: > > Dear Sir > > > > I am unable to find the *formula for covariance* used in np.cov syntax in > > PYTHON given in link > > https://numpy.org/doc/stable/reference/generated/numpy.cov.html. Could > you > > please help me out. > > > > Thanks > > Meghna > > > > On Tue, Oct 13, 2020 at 11:46 AM Christian Gollwitzer > > wrote: > > > >> Am 13.10.20 um 06:52 schrieb Meghna Karkera: > >>> Could you let me know what is the back end calculation of this > covariance > >>> matrix syntax np.cov > >>> > >> You can look it up yourself: Go to the docs > >> https://numpy.org/doc/stable/reference/generated/numpy.cov.html > >> > >> At the right hand side, just right of the function signature, there is a > >> link [source]. Click there and it takes you to the implementation. > >> > >> Apparently it is done in straightforward Python. > >> > >> Christian > >> > >> PS: Snipped a lot of unrelated citation at the bottom > >> > >>> On Tue, Oct 13, 2020, 10:14 Bruno P. Kinoshita < > >> brunodepau...@yahoo.com.br> > >>> wrote: > >>> [...] > >>>> I think the np.cov is from the numpy module (imported/aliased as np?). > >> -- > >> https://mail.python.org/mailman/listinfo/python-list > >> > > -- > https://mail.python.org/mailman/listinfo/python-list > -- https://mail.python.org/mailman/listinfo/python-list
Re: Covariance matrix syntax
Hi Meghna, I organized some tutorials about Machine Learning for Chemistry with Python. Where you can find some info about the use of Covariance Matrix that may help you. The originals are in Portugueese, but you can read using Google Translator: https://tinyurl.com/yybazx9n https://tinyurl.com/y29mule6 https://tinyurl.com/yxtg4tce Best Regards, Markos Em 19-10-2020 02:23, Meghna Karkera escreveu: Dear Sir I am unable to find the *formula for covariance* used in np.cov syntax in PYTHON given in link https://numpy.org/doc/stable/reference/generated/numpy.cov.html. Could you please help me out. Thanks Meghna On Tue, Oct 13, 2020 at 11:46 AM Christian Gollwitzer wrote: Am 13.10.20 um 06:52 schrieb Meghna Karkera: Could you let me know what is the back end calculation of this covariance matrix syntax np.cov You can look it up yourself: Go to the docs https://numpy.org/doc/stable/reference/generated/numpy.cov.html At the right hand side, just right of the function signature, there is a link [source]. Click there and it takes you to the implementation. Apparently it is done in straightforward Python. Christian PS: Snipped a lot of unrelated citation at the bottom On Tue, Oct 13, 2020, 10:14 Bruno P. Kinoshita < brunodepau...@yahoo.com.br> wrote: [...] I think the np.cov is from the numpy module (imported/aliased as np?). -- https://mail.python.org/mailman/listinfo/python-list -- https://mail.python.org/mailman/listinfo/python-list
Re: Covariance matrix syntax
Am 19.10.20 um 07:23 schrieb Meghna Karkera: I am unable to find the *formula for covariance* used in np.cov syntax in PYTHON given in link https://numpy.org/doc/stable/reference/generated/numpy.cov.html. Could you please help me out. As said, you should click on the link [source] just at the right hand side of the page, at the top. There is numpy.cov(m, y=None, rowvar=True, bias=False, ddof=None, fweights=None, aweights=None) and just next to it there is the link. It takes you there: https://github.com/numpy/numpy/blob/v1.19.0/numpy/lib/function_base.py#L2270-L2481 Which is the source code of the function. Best regards, Christian Thanks Meghna On Tue, Oct 13, 2020 at 11:46 AM Christian Gollwitzer wrote: Am 13.10.20 um 06:52 schrieb Meghna Karkera: Could you let me know what is the back end calculation of this covariance matrix syntax np.cov You can look it up yourself: Go to the docs https://numpy.org/doc/stable/reference/generated/numpy.cov.html At the right hand side, just right of the function signature, there is a link [source]. Click there and it takes you to the implementation. Apparently it is done in straightforward Python. Christian PS: Snipped a lot of unrelated citation at the bottom On Tue, Oct 13, 2020, 10:14 Bruno P. Kinoshita < brunodepau...@yahoo.com.br> wrote: [...] I think the np.cov is from the numpy module (imported/aliased as np?). -- https://mail.python.org/mailman/listinfo/python-list -- https://mail.python.org/mailman/listinfo/python-list
Re: Covariance matrix syntax
Dear Sir I am unable to find the *formula for covariance* used in np.cov syntax in PYTHON given in link https://numpy.org/doc/stable/reference/generated/numpy.cov.html. Could you please help me out. Thanks Meghna On Tue, Oct 13, 2020 at 11:46 AM Christian Gollwitzer wrote: > Am 13.10.20 um 06:52 schrieb Meghna Karkera: > > Could you let me know what is the back end calculation of this covariance > > matrix syntax np.cov > > > > You can look it up yourself: Go to the docs > https://numpy.org/doc/stable/reference/generated/numpy.cov.html > > At the right hand side, just right of the function signature, there is a > link [source]. Click there and it takes you to the implementation. > > Apparently it is done in straightforward Python. > > Christian > > PS: Snipped a lot of unrelated citation at the bottom > > > On Tue, Oct 13, 2020, 10:14 Bruno P. Kinoshita < > brunodepau...@yahoo.com.br> > > wrote: > > [...] > >> I think the np.cov is from the numpy module (imported/aliased as np?). > -- > https://mail.python.org/mailman/listinfo/python-list > -- https://mail.python.org/mailman/listinfo/python-list
Re: Covariance matrix syntax
I think the np.cov is from the numpy module (imported/aliased as np?). If so, the numpy repository should have what you are looking for: https://github.com/numpy/numpy/blob/156cd054e007b05d4ac4829e10a369d19dd2b0b1/numpy/lib/function_base.py#L2276 Hope that helps Bruno On Tuesday, 13 October 2020, 5:38:55 pm NZDT, Meghna Karkera wrote: May I know the steps or procedure behind covariance matrix syntax, np.cov(covar_matrix) in python -- https://mail.python.org/mailman/listinfo/python-list -- https://mail.python.org/mailman/listinfo/python-list
Re: Covariance matrix syntax
Am 13.10.20 um 06:52 schrieb Meghna Karkera: Could you let me know what is the back end calculation of this covariance matrix syntax np.cov You can look it up yourself: Go to the docs https://numpy.org/doc/stable/reference/generated/numpy.cov.html At the right hand side, just right of the function signature, there is a link [source]. Click there and it takes you to the implementation. Apparently it is done in straightforward Python. Christian PS: Snipped a lot of unrelated citation at the bottom On Tue, Oct 13, 2020, 10:14 Bruno P. Kinoshita wrote: [...] I think the np.cov is from the numpy module (imported/aliased as np?). -- https://mail.python.org/mailman/listinfo/python-list
Re: Covariance matrix syntax
Could you let me know what is the back end calculation of this covariance matrix syntax np.cov On Tue, Oct 13, 2020, 10:14 Bruno P. Kinoshita wrote: > I think the np.cov is from the numpy module (imported/aliased as np?). > > If so, the numpy repository should have what you are looking for: > > > > https://github.com/numpy/numpy/blob/156cd054e007b05d4ac4829e10a369d19dd2b0b1/numpy/lib/function_base.py#L2276 > > > Hope that helps > > Bruno > > On Tuesday, 13 October 2020, 5:38:55 pm NZDT, Meghna Karkera < > mkarker...@gmail.com> wrote: > > > May I know the steps or procedure behind covariance matrix syntax, > np.cov(covar_matrix) in python > -- > https://mail.python.org/mailman/listinfo/python-list > -- https://mail.python.org/mailman/listinfo/python-list
Covariance matrix syntax
May I know the steps or procedure behind covariance matrix syntax, np.cov(covar_matrix) in python -- https://mail.python.org/mailman/listinfo/python-list
