Re: [statistics] Mode function for Cauchy distribution
Ok sir. Thanks On Sun, 12 May 2019, 2:39 am Gilles Sadowski, wrote: > Hi. > > Le ven. 10 mai 2019 à 14:45, Udit Arora a écrit : > > > > I am not sure what to say.. I completely agree that most distributions > have > > undefined statistical values. I dont really have any particular reason > for > > adding mode in the interface like one mentioned by Sir Alex for mean and > > variance. Please let me know if I should go ahead.. > > If you don't see a reason, it's reason enough for not doing it. ;-) > > Perhaps a more straightforward way to start contributing is to > browse the list of open issue issues; see e.g. the "Numbers" > project[1]. Help is most needed to progress towards a release, > because "Statistics", and others, depend on it. > > Regards, > Gilles > > [1] > https://issues.apache.org/jira/issues/?jql=project%20%3D%20NUMBERS%20AND%20status%20%3D%20Open > > > > > On Fri, 10 May 2019, 2:15 am Alex Herbert, > wrote: > > > > > > > > > > > > On 9 May 2019, at 21:17, Eric Barnhill > wrote: > > > > > > > > Awesome! > > > > > > > > On Thu, May 9, 2019 at 10:44 AM Udit Arora > > > wrote: > > > > > > > >> I will see what I can do. It will take some time, but I will get to > know > > > >> more about the other distributions. > > > >> > > > >> > > > >> On Thu, 9 May 2019, 10:58 pm Eric Barnhill, > > > > >> wrote: > > > >> > > > >>> Udit, is it clear what to do here? Gilles recommends you propose > some > > > >> edits > > > >>> to ContinuousDistribution instead, to return Mode and Median. > > > >>> > > > >>> But then, if an interface is altered, all the classes that > implement > > > that > > > >>> interface need to have these functions added, so we hope you are > up for > > > >> all > > > >>> that additional work. We can help you. > > > > > > I think it would be prudent to go through all the distributions and see > > > what is defined for each. Wikipedia has a helper table for all its > > > distributions containing: > > > > > > Mean > > > Median > > > Mode > > > Variance > > > Skewness > > > Ex. kurtosis > > > Entropy > > > Fisher Information > > > > > > If many are undefined then you are adding to an interface something not > > > generally supported. > > > > > > Currently the ContinuousDistribution interface only has the mean and > the > > > variance. But note that these are used by the inverse cumulative > > > probability method in the base abstract class. Same goes for the > > > DiscreteDistribution. > > > > > > I am +0 for adding more methods. I don’t see a reason not to. But nor > do I > > > see a need (within the library) to have them at the interface level if > the > > > mode or median for example are not required in a generic way. > > > > > > >>> > > > >>> Last is the idea of accessor methods. if the method starts with > get_() > > > >> then > > > >>> in principle this is just returning a field already present. But > with > > > >> that > > > >>> in mind, I don't know why we already have a method name like > getMean() > > > in > > > >>> this interface. We don't really know whether for a given > distribution, > > > >> that > > > >>> would be a true accessor or need to be calculated. So I think all > these > > > >>> method names should just be mean(), mode(), median(), etc. > > > >>> > > > >>> So sorry if this is blowing up into more work than you expected. It > > > often > > > >>> works that way! I certainly think these changes are worthwhile > however. > > > >>> > > > >>> > > > >>> > > > >>> On Thu, May 9, 2019 at 7:17 AM Gilles Sadowski < > gillese...@gmail.com> > > > >>> wrote: > > > >>> > > > >>>> Hi Udit. > > > >>>> > > > >>>> Le jeu. 9 mai 2019 à 12:52, Udit Arora a > > > >> écrit : > > > >>>>> > > > >>>>> I intend to add a mode function for the Cauchy Distribu
Re: [statistics] Mode function for Cauchy distribution
I am not sure what to say.. I completely agree that most distributions have undefined statistical values. I dont really have any particular reason for adding mode in the interface like one mentioned by Sir Alex for mean and variance. Please let me know if I should go ahead.. On Fri, 10 May 2019, 2:15 am Alex Herbert, wrote: > > > > On 9 May 2019, at 21:17, Eric Barnhill wrote: > > > > Awesome! > > > > On Thu, May 9, 2019 at 10:44 AM Udit Arora > wrote: > > > >> I will see what I can do. It will take some time, but I will get to know > >> more about the other distributions. > >> > >> > >> On Thu, 9 May 2019, 10:58 pm Eric Barnhill, > >> wrote: > >> > >>> Udit, is it clear what to do here? Gilles recommends you propose some > >> edits > >>> to ContinuousDistribution instead, to return Mode and Median. > >>> > >>> But then, if an interface is altered, all the classes that implement > that > >>> interface need to have these functions added, so we hope you are up for > >> all > >>> that additional work. We can help you. > > I think it would be prudent to go through all the distributions and see > what is defined for each. Wikipedia has a helper table for all its > distributions containing: > > Mean > Median > Mode > Variance > Skewness > Ex. kurtosis > Entropy > Fisher Information > > If many are undefined then you are adding to an interface something not > generally supported. > > Currently the ContinuousDistribution interface only has the mean and the > variance. But note that these are used by the inverse cumulative > probability method in the base abstract class. Same goes for the > DiscreteDistribution. > > I am +0 for adding more methods. I don’t see a reason not to. But nor do I > see a need (within the library) to have them at the interface level if the > mode or median for example are not required in a generic way. > > >>> > >>> Last is the idea of accessor methods. if the method starts with get_() > >> then > >>> in principle this is just returning a field already present. But with > >> that > >>> in mind, I don't know why we already have a method name like getMean() > in > >>> this interface. We don't really know whether for a given distribution, > >> that > >>> would be a true accessor or need to be calculated. So I think all these > >>> method names should just be mean(), mode(), median(), etc. > >>> > >>> So sorry if this is blowing up into more work than you expected. It > often > >>> works that way! I certainly think these changes are worthwhile however. > >>> > >>> > >>> > >>> On Thu, May 9, 2019 at 7:17 AM Gilles Sadowski > >>> wrote: > >>> > >>>> Hi Udit. > >>>> > >>>> Le jeu. 9 mai 2019 à 12:52, Udit Arora a > >> écrit : > >>>>> > >>>>> I intend to add a mode function for the Cauchy Distribution. It is a > >>>> small > >>>>> addition which i thought might be helpful. > >>>> > >>>> How will it be helpful? I.e. what would an application developer > >>>> be able to do, that he can't with the current code? > >>>> > >>>> You've surely noted that that the class you want to modify is but > >>>> one of the implementations of the interface "ContinuousDistribution". > >>>> So if you propose to change the API, the change should be done > >>>> at the interface level, and the appropriate computation performed, or > >>>> method overloads defined, for all implementations. > >>>> > >>>> The "accessor" methods refer to fields that were set by the > contructor; > >>>> e.g. for "CauchyDistribution", "median" and "scale". > >>>> In this case, it happens that "mode" has the same value as "median", > >>>> but does this warrant an additional method? > >>>> > >>>> Regards, > >>>> Gilles > >>>> > >>>>> Thanks > >>>> > >>>> - > >>>> To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > >>>> For additional commands, e-mail: dev-h...@commons.apache.org > >>>> > >>>> > >>> > >> > > > - > To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > For additional commands, e-mail: dev-h...@commons.apache.org > >
Re: [statistics] Mode function for Cauchy distribution
I will see what I can do. It will take some time, but I will get to know more about the other distributions. On Thu, 9 May 2019, 10:58 pm Eric Barnhill, wrote: > Udit, is it clear what to do here? Gilles recommends you propose some edits > to ContinuousDistribution instead, to return Mode and Median. > > But then, if an interface is altered, all the classes that implement that > interface need to have these functions added, so we hope you are up for all > that additional work. We can help you. > > Last is the idea of accessor methods. if the method starts with get_() then > in principle this is just returning a field already present. But with that > in mind, I don't know why we already have a method name like getMean() in > this interface. We don't really know whether for a given distribution, that > would be a true accessor or need to be calculated. So I think all these > method names should just be mean(), mode(), median(), etc. > > So sorry if this is blowing up into more work than you expected. It often > works that way! I certainly think these changes are worthwhile however. > > > > On Thu, May 9, 2019 at 7:17 AM Gilles Sadowski > wrote: > > > Hi Udit. > > > > Le jeu. 9 mai 2019 à 12:52, Udit Arora a écrit : > > > > > > I intend to add a mode function for the Cauchy Distribution. It is a > > small > > > addition which i thought might be helpful. > > > > How will it be helpful? I.e. what would an application developer > > be able to do, that he can't with the current code? > > > > You've surely noted that that the class you want to modify is but > > one of the implementations of the interface "ContinuousDistribution". > > So if you propose to change the API, the change should be done > > at the interface level, and the appropriate computation performed, or > > method overloads defined, for all implementations. > > > > The "accessor" methods refer to fields that were set by the contructor; > > e.g. for "CauchyDistribution", "median" and "scale". > > In this case, it happens that "mode" has the same value as "median", > > but does this warrant an additional method? > > > > Regards, > > Gilles > > > > > Thanks > > > > - > > To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > > For additional commands, e-mail: dev-h...@commons.apache.org > > > > >
[statistics] Mode function for Cauchy distribution
I intend to add a mode function for the Cauchy Distribution. It is a small addition which i thought might be helpful. Thanks
Re: [statistics]Log-Cauchy Distribution
Ok sir. I will start a new thread with the name of " [statistics] Mode function for Cauchy distribution". Hope that's fine. Thanks for reminding me. On Wed, 8 May 2019, 5:48 pm Gilles Sadowski, wrote: > Hi. > > I see that a discussion about is still going on on GitHub[1]; thus, > I remind that API changes *must* be agreed on here. [Please start > a new thread.] > > Best, > Gilles > > [1] > https://github.com/apache/commons-statistics/pull/4#discussion_r282004202 > > - > To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > For additional commands, e-mail: dev-h...@commons.apache.org > >
Re: [numbers][GSoC] Slack for GSoC mentees
Thanks for offering me an invitation. I would like the invitation. On Tue, 7 May 2019, 12:14 am Eric Barnhill, wrote: > Udit you are welcome to join us to chat on the channel. Do you want an > invitation? > > On Mon, May 6, 2019 at 11:13 AM Udit Arora wrote: > > > Congrats Ben. > > > > On Mon, 6 May 2019, 11:42 pm Ben Nguyen, wrote: > > > > > Hello, > > > > > > Any update on which communication tool will be used? Slack, Zulip? I’m > > > excited to get started! > > > > > > Ben > > > > > > From: Mark Thomas > > > Sent: Wednesday, May 1, 2019 4:21 PM > > > To: Commons Developers List > > > Subject: Re: [numbers][GSoC] Slack for GSoC mentees > > > > > > On 01/05/2019 22:09, Eric Barnhill wrote: > > > > Thanks Mark, > > > > > > > > It looks like an apache.org domain email is required to register, > and > > I > > > > don't think my mentees are going to have one of those, so I may still > > > open > > > > a Zulip on the side. I am happy to have joined the commons slack > there > > > > though! > > > > > > You should be able to invite folks without @apache.org addresses > > > > > > Mark > > > > > > > > > > > > > > Eric > > > > > > > > On Wed, May 1, 2019 at 1:58 PM Mark Thomas wrote: > > > > > > > >> On 01/05/2019 21:54, Eric Barnhill wrote: > > > >>> On Wed, May 1, 2019 at 1:49 PM Mark Thomas > wrote: > > > >>> > > > >>>> On 01/05/2019 21:38, Eric Barnhill wrote: > > > >>>>> Actually some objections have been raised to using Slack because > it > > > is > > > >>>> not > > > >>>>> open source. So the options will be either zulipchat if a group > of > > > >> people > > > >>>>> want to use it, or Riot if it is just me. > > > >>>> > > > >>>> Better stop using GitHub as well then. > > > >>>> > > > >>>> There is no ASF policy that requires the tools we use to be open > > > source. > > > >>>> > > > >>>> > > > >>> Thanks for clarifying. > > > >>> > > > >>> > > > >>>> There is an ASF slack instance - you could request (create?) a > > > >>>> commons-gsoc channel there. > > > >>>> > > > >>> > > > >>> Knock me over with a feather. This not appear to be mentioned at > > > >>> community.apache.org . Is it asf.slack.com? > > > >> > > > >> the-asf.slack.com > > > >> There is already a commons channel. I think you can create > > commons-gsoc > > > >> if you need it. If not, I look to be able to create channels. Just > > ping > > > me. > > > >> > > > >> Mark > > > >> > > > >> > - > > > >> To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > > > >> For additional commands, e-mail: dev-h...@commons.apache.org > > > >> > > > >> > > > > > > > > > > > > > - > > > To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > > > For additional commands, e-mail: dev-h...@commons.apache.org > > > > > > > > > > > >
Re: [numbers][GSoC] Slack for GSoC mentees
Congrats Ben. On Mon, 6 May 2019, 11:42 pm Ben Nguyen, wrote: > Hello, > > Any update on which communication tool will be used? Slack, Zulip? I’m > excited to get started! > > Ben > > From: Mark Thomas > Sent: Wednesday, May 1, 2019 4:21 PM > To: Commons Developers List > Subject: Re: [numbers][GSoC] Slack for GSoC mentees > > On 01/05/2019 22:09, Eric Barnhill wrote: > > Thanks Mark, > > > > It looks like an apache.org domain email is required to register, and I > > don't think my mentees are going to have one of those, so I may still > open > > a Zulip on the side. I am happy to have joined the commons slack there > > though! > > You should be able to invite folks without @apache.org addresses > > Mark > > > > > > Eric > > > > On Wed, May 1, 2019 at 1:58 PM Mark Thomas wrote: > > > >> On 01/05/2019 21:54, Eric Barnhill wrote: > >>> On Wed, May 1, 2019 at 1:49 PM Mark Thomas wrote: > >>> > On 01/05/2019 21:38, Eric Barnhill wrote: > > Actually some objections have been raised to using Slack because it > is > not > > open source. So the options will be either zulipchat if a group of > >> people > > want to use it, or Riot if it is just me. > > Better stop using GitHub as well then. > > There is no ASF policy that requires the tools we use to be open > source. > > > >>> Thanks for clarifying. > >>> > >>> > There is an ASF slack instance - you could request (create?) a > commons-gsoc channel there. > > >>> > >>> Knock me over with a feather. This not appear to be mentioned at > >>> community.apache.org . Is it asf.slack.com? > >> > >> the-asf.slack.com > >> There is already a commons channel. I think you can create commons-gsoc > >> if you need it. If not, I look to be able to create channels. Just ping > me. > >> > >> Mark > >> > >> - > >> To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > >> For additional commands, e-mail: dev-h...@commons.apache.org > >> > >> > > > > > - > To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > For additional commands, e-mail: dev-h...@commons.apache.org > > >
Re: [statistics]Log-Cauchy Distribution
Ok, i will do that.. On Mon, 6 May 2019, 6:03 am Gilles Sadowski, wrote: > Hi. > > Le dim. 5 mai 2019 à 17:40, Udit Arora a écrit : > > > > Sir > > I am not able to download apache.commons. > > "Commons" contains many projects, each with its separate source > repository. > > > I even tried to change the mirror > > Instructions for developers are here (for "Commons Statisitics"): > http://commons.apache.org/proper/commons-statistics/scm.html > > > but to no avail. Also my familiarity with R is less. So I am not > completely > > sure how to make the test cases for this distribution. > > You could look for other source of comparisons; e.g. > https://keisan.casio.com/menu/system/0540 > > Gilles > > > > Thanks > > > > On Fri, May 3, 2019 at 7:26 PM Udit Arora wrote: > > > > > Ok sir.. > > > Thanks > > > > > > On Fri, 3 May 2019, 6:23 pm Gilles Sadowski, > wrote: > > > > > >> Hello. > > >> > > >> Le jeu. 2 mai 2019 à 19:34, Udit Arora a > écrit : > > >> > > > >> > This is a new discussion for making a Log-Cauchy Distribution. > > >> > I just want to add a new distribution to the already existing > > >> distribution > > >> > list. Just like Cauchy Distribution I intend to include CDF, PDF and > > >> some > > >> > other functions. > > >> > Please let me know if I should go ahead with this idea. > > >> > > >> Sure! > > >> For a new implementation, you should provide reference(s) and > > >> unit tests (based on those that exist for the other implementations, > > >> preferably reaching for full coverage). > > >> > > >> Thanks, > > >> Gilles > > >> > > >> > Thanks > > >> > Udit Arora > > >> > > >> - > > >> To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > > >> For additional commands, e-mail: dev-h...@commons.apache.org > > >> > > >> > > - > To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > For additional commands, e-mail: dev-h...@commons.apache.org > >
Re: [statistics]Log-Cauchy Distribution
Sir I am not able to download apache.commons. I even tried to change the mirror but to no avail. Also my familiarity with R is less. So I am not completely sure how to make the test cases for this distribution. Thanks On Fri, May 3, 2019 at 7:26 PM Udit Arora wrote: > Ok sir.. > Thanks > > On Fri, 3 May 2019, 6:23 pm Gilles Sadowski, wrote: > >> Hello. >> >> Le jeu. 2 mai 2019 à 19:34, Udit Arora a écrit : >> > >> > This is a new discussion for making a Log-Cauchy Distribution. >> > I just want to add a new distribution to the already existing >> distribution >> > list. Just like Cauchy Distribution I intend to include CDF, PDF and >> some >> > other functions. >> > Please let me know if I should go ahead with this idea. >> >> Sure! >> For a new implementation, you should provide reference(s) and >> unit tests (based on those that exist for the other implementations, >> preferably reaching for full coverage). >> >> Thanks, >> Gilles >> >> > Thanks >> > Udit Arora >> >> - >> To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org >> For additional commands, e-mail: dev-h...@commons.apache.org >> >>
Re: [statistics]Log-Cauchy Distribution
Ok sir.. Thanks On Fri, 3 May 2019, 6:23 pm Gilles Sadowski, wrote: > Hello. > > Le jeu. 2 mai 2019 à 19:34, Udit Arora a écrit : > > > > This is a new discussion for making a Log-Cauchy Distribution. > > I just want to add a new distribution to the already existing > distribution > > list. Just like Cauchy Distribution I intend to include CDF, PDF and some > > other functions. > > Please let me know if I should go ahead with this idea. > > Sure! > For a new implementation, you should provide reference(s) and > unit tests (based on those that exist for the other implementations, > preferably reaching for full coverage). > > Thanks, > Gilles > > > Thanks > > Udit Arora > > - > To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > For additional commands, e-mail: dev-h...@commons.apache.org > >
[statistics]Log-Cauchy Distribution
This is a new discussion for making a Log-Cauchy Distribution. I just want to add a new distribution to the already existing distribution list. Just like Cauchy Distribution I intend to include CDF, PDF and some other functions. Please let me know if I should go ahead with this idea. Thanks Udit Arora
