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Posted to user@mahout.apache.org by Simon Chan <si...@gmail.com> on 2014/03/18 21:00:00 UTC
Introducing PredictionIO: A developer-friendly Mahout stack for production
Hi,
After a year of work, I would like to present PredictionIO project (
https://github.com/PredictionIO) to this community.
When a few of us were doing PhD study, Mahout was the de facto Java package
that we used in many research work. This is a very powerful algorithm
library, yet we see that something needs to be done to make it more
accessible to developers in production environment.
Therefore, we started the idea of PredictionIO, which adds a
developer-friendly REST API, a web admin UI and an integrated
infrastructure on top of Mahout. The project is still at its early stage.
CF algorithm libraries of Mahout is supported currently.
*REST API and SDK* in Python, Ruby, Java, PHP, Node.js etc
Through the API layer, which supports both sync and asycn call, users can:
- Record data
A sample SDK call:
* cli.identify("John")*
* cli.record_action_on_item("view", "Mahout Page 1")*
- Query recommendation in real-time
A sample GEO-based recommendation query:
* r = cli.get_itemrec_topn("myEngine", 5, {"pio_latlng":[37.9, 91.2]})*
*Web Admin UI*
Through the UI, users can:
- conduct algorithm evaluation with metrics such as MAP@k
- deploy / switch algorithm on production
- adjust recommendation preferences, such as Freshness, Serendipity,
Unseen-only filter etc
*Integrated Infrastructure*
PredictionIO helps users link Mahout, Hadoop, data store and job scheduler
etc together. The whole stack can be installed and configured in minutes.
It takes care of a lot of production issues, such as model re-training with
new data and prediction result indexing.
We are working hard to make it extremely easy for developers to build
Machine Learning into web and apps. Hopefully, PredictionIO can get Mahout
into the hands of a wider audience.
Love to hear your feedback. If you are interested in the project, just
remember that contributors are always welcome!
Regards,
Simon
Re: Introducing PredictionIO: A developer-friendly Mahout stack for production
Posted by Ted Dunning <te...@gmail.com>.
AGPL is a complete show-stopper for contributions even for dependencies.
Apache software can't critically depend on GPL components of any sort.
As such, it doesn't make any sense to have components of Mahout designed to
run only on a server that is AGPL.
On Wed, Mar 19, 2014 at 11:53 AM, Simon Chan <si...@gmail.com> wrote:
> Thanks for the feedback. Happy to discuss how we can resolve the AGPL
> limitation for your work.
>
> There are a few Ruby gem for PredictionIO, contributed by developers as
> well as supported by PredictionIO team, that you can choose from. We hope
> that the UI can assist developers manage the data engineering flow easily.
>
> Regards,
> Simon
>
>
> On Wed, Mar 19, 2014 at 10:32 AM, Pat Ferrel <pa...@occamsmachete.com>
> wrote:
>
> > I looked at the docs and the AGPL for the server is a problem for
> me--maybe
> > even a blocker. Since the SDK is useless without the server, this may be
> a
> > problem for you.
> >
> > I like the SDK, idea. The alternative is logfiles to store prefs (not a
> > bad architecture really) and a grow your own method for getting recs. I
> did
> > this same thing in Ruby+REST for a site and it might save a fair bit of
> > work if you support the usual web app frameworks. The SDK for storing
> prefs
> > makes even more sense if you have realtime use of them. Unless you did
> > something fancy with Mahout under the covers they will only take affect
> > when the model is recalculated. It looks like you have a scheduler too as
> > an answer to the new model issue. Pretty nice and a good example for
> people
> > rolling their own.
> >
> > The UI is interesting but I wonder how many recommenders any one user is
> > going to create. I imagine you have in mind doing this as a service and
> > that's why you have the UI and AGPL.
> >
> > On Mar 19, 2014, at 4:35 AM, Piero Giacomelli <pg...@gmail.com>
> wrote:
> >
> > Dear Bertrand
> >
> > Yes, that was what I understood.
> >
> > But for me I miss a step.
> >
> > Let us take a practical example.
> >
> > I use SlopeRecommender engine and I implement its policy on how to
> > evaluate the similarity.
> >
> > In this case I made a custom version on the engine right?
> >
> > The SKD is not customize. So my question is should I give the custom code
> > to the client in chase he/she ask me.
> >
> > Piero
> >
> > Il 19/03/2014 11:56, Bertrand Dechoux ha scritto:
> > > Affero GPL :
> http://en.wikipedia.org/wiki/Affero_General_Public_License
> > >
> > > Alfresco is something else.
> > >
> > > It does imply that if you provide someone access to a custom version of
> > the
> > > engine, then you must provide the sources. But is only about the engine
> > ie
> > > not the clients, not the configuration, not the data. An official
> > > confirmation would be welcome.
> > >
> > > Bertrand
> > >
> > >
> > > On Wed, Mar 19, 2014 at 11:40 AM, Piero Giacomelli <pgiacome@gmail.com
> > >wrote:
> > >
> > >> Dear Simon,
> > >>
> > >> thanks for informing us.
> > >>
> > >> I am now evaluating Prediction.io for creating a reccomandation
> system.
> > >>
> > >> However as I see the license is an Alfresco Limited one.
> > >>
> > >> So I do not understand what are the limitation.
> > >>
> > >> I mean if I install prediction and I do make some chanages to the
> > source
> > >> code should I redistribute the whole to the predicition.io developer
> > team.
> > >>
> > >> Piero
> > >>
> > >> Il 18/03/2014 21:00, Simon Chan ha scritto:
> > >>
> > >> Hi,
> > >>> After a year of work, I would like to present PredictionIO project (
> > >>> https://github.com/PredictionIO) to this community.
> > >>>
> > >>> When a few of us were doing PhD study, Mahout was the de facto Java
> > >>> package
> > >>> that we used in many research work. This is a very powerful algorithm
> > >>> library, yet we see that something needs to be done to make it more
> > >>> accessible to developers in production environment.
> > >>>
> > >>> Therefore, we started the idea of PredictionIO, which adds a
> > >>> developer-friendly REST API, a web admin UI and an integrated
> > >>> infrastructure on top of Mahout. The project is still at its early
> > stage.
> > >>> CF algorithm libraries of Mahout is supported currently.
> > >>>
> > >>> *REST API and SDK* in Python, Ruby, Java, PHP, Node.js etc
> > >>> Through the API layer, which supports both sync and asycn call, users
> > can:
> > >>>
> > >>> - Record data
> > >>> A sample SDK call:
> > >>> * cli.identify("John")*
> > >>> * cli.record_action_on_item("view", "Mahout Page 1")*
> > >>>
> > >>> - Query recommendation in real-time
> > >>> A sample GEO-based recommendation query:
> > >>> * r = cli.get_itemrec_topn("myEngine", 5, {"pio_latlng":[37.9,
> 91.2]})*
> > >>>
> > >>>
> > >>> *Web Admin UI*
> > >>> Through the UI, users can:
> > >>> - conduct algorithm evaluation with metrics such as MAP@k
> > >>> - deploy / switch algorithm on production
> > >>> - adjust recommendation preferences, such as Freshness, Serendipity,
> > >>> Unseen-only filter etc
> > >>>
> > >>>
> > >>> *Integrated Infrastructure*
> > >>> PredictionIO helps users link Mahout, Hadoop, data store and job
> > scheduler
> > >>> etc together. The whole stack can be installed and configured in
> > minutes.
> > >>> It takes care of a lot of production issues, such as model
> re-training
> > >>> with
> > >>> new data and prediction result indexing.
> > >>>
> > >>>
> > >>> We are working hard to make it extremely easy for developers to build
> > >>> Machine Learning into web and apps. Hopefully, PredictionIO can get
> > Mahout
> > >>> into the hands of a wider audience.
> > >>>
> > >>> Love to hear your feedback. If you are interested in the project,
> just
> > >>> remember that contributors are always welcome!
> > >>>
> > >>>
> > >>> Regards,
> > >>> Simon
> > >>>
> > >>>
> > >> --
> > >> Piero Giacomelli, Italia
> > >> phone:+39 34 71 02 42 95
> > >> e-mail: pgiacome@gmail.com
> > >> skype: pgiacome
> > >> my books
> > >> ------------------------------------------------------------
> > >> --------------------------------------
> > >> Apache Mahout Cookbook <http://www.packtpub.com/
> > >> apache-mahout-cookbook/book>
> > >> HornetQ Messaging Developer's Guide <HornetQ%20Messaging%
> > >> 20Developer%27s%20Guide>
> > >> ------------------------------------------------------------
> > >> --------------------------------------
> > >>
> >
> >
> > --
> > Piero Giacomelli, Italia
> > phone:+39 34 71 02 42 95
> > e-mail: pgiacome@gmail.com
> > skype: pgiacome
> > my books
> >
> >
> --------------------------------------------------------------------------------------------------
> > Apache Mahout Cookbook <
> > http://www.packtpub.com/apache-mahout-cookbook/book>
> > HornetQ Messaging Developer's Guide
> > <HornetQ%20Messaging%20Developer%27s%20Guide>
> >
> >
> --------------------------------------------------------------------------------------------------
> >
> >
>
Re: Introducing PredictionIO: A developer-friendly Mahout stack for production
Posted by Ted Dunning <te...@gmail.com>.
On Fri, Mar 21, 2014 at 7:36 AM, Pat Ferrel <pa...@occamsmachete.com> wrote:
> Read the AGPL carefully before deciding. It is widely avoided by OSS
> projects. It’s interpreted to infect your derived works with obligations
> you may not want to live with. There is probably a question about whether
> they can even enforce it given they could be said to be derived from
> Mahout, which is an Apache 2 license.
>
Apache licenses are fine for inclusion in *GPL works.
It is the reverse that is problematic. Apache licenses allow you to do
pretty much whatever you want except call your modified product by the name
Mahout.
Assuming that is solved It might be a good package for a PHP dev to start
> with.
>
And that would be a great thing.
Nothing says that the license on prediction.io needs to change. AGPL may
be a good thing for it. But it can't be part of Mahout and keep that
license. Being part of Mahout and being Apache licensed is also a bad
thing if the developers of prediction.io are worried about somebody
stealing their work and making it closed source and not giving back.
This is a very important decision to make and it isn't just something to do
just for fashion or to be part of a group, especially if you are thinking
that you want to make a living with it.
Re: Introducing PredictionIO: A developer-friendly Mahout stack for production
Posted by Pat Ferrel <pa...@occamsmachete.com>.
Read the AGPL carefully before deciding. It is widely avoided by OSS projects. It’s interpreted to infect your derived works with obligations you may not want to live with. There is probably a question about whether they can even enforce it given they could be said to be derived from Mahout, which is an Apache 2 license.
Assuming that is solved It might be a good package for a PHP dev to start with.
I haven’t used it, only quickly looked at it.
On Mar 21, 2014, at 5:54 AM, Christopher Eugene <xr...@gmail.com> wrote:
This a great idea/project! I am primarily a PHP developer and was wondering
how I would use mahout in a project that I have had in mind for a while.
Thank you for this. Whatever changes I make if any I will give back. Keep
up the good work.
On Wed, Mar 19, 2014 at 11:08 PM, Ted Dunning <te...@gmail.com> wrote:
> [image: Boxbe] <https://www.boxbe.com/overview> This message is eligible
> for Automatic Cleanup! (ted.dunning@gmail.com) Add cleanup rule<https://www.boxbe.com/popup?url=https%3A%2F%2Fwww.boxbe.com%2Fcleanup%3Ftoken%3DbXHHP8OE%252BuEuN6NJT%252FL2F5uux0BeTMGK7MlZZMZtPfBe73EumEtdI9uDnIe09x4G2dNoQxMtg1zw6nf2r3P9pNyoyuFw9b0cNlJipcIH205cz%252BXV4kRvWsIK%252FHY%252FQqN5Y2bqtHK8eqcnGMo%252Ft6kdnQ%253D%253D%26key%3DPSkv2JZsWu%252BFnBR4N2vZUoJ9qWsWUGvCoZyzR1o5l08%253D&tc_serial=16669343250&tc_rand=1487459867&utm_source=stf&utm_medium=email&utm_campaign=ANNO_CLEANUP_ADD&utm_content=001>| More
> info<http://blog.boxbe.com/general/boxbe-automatic-cleanup?tc_serial=16669343250&tc_rand=1487459867&utm_source=stf&utm_medium=email&utm_campaign=ANNO_CLEANUP_ADD&utm_content=001>
>
> AGPL is a complete show-stopper for contributions even for dependencies.
> Apache software can't critically depend on GPL components of any sort.
>
> As such, it doesn't make any sense to have components of Mahout designed to
> run only on a server that is AGPL.
>
>
>
>
>
>
> On Wed, Mar 19, 2014 at 11:53 AM, Simon Chan <si...@gmail.com> wrote:
>
>> Thanks for the feedback. Happy to discuss how we can resolve the AGPL
>> limitation for your work.
>>
>> There are a few Ruby gem for PredictionIO, contributed by developers as
>> well as supported by PredictionIO team, that you can choose from. We hope
>> that the UI can assist developers manage the data engineering flow
> easily.
>>
>> Regards,
>> Simon
>>
>>
>> On Wed, Mar 19, 2014 at 10:32 AM, Pat Ferrel <pa...@occamsmachete.com>
>> wrote:
>>
>>> I looked at the docs and the AGPL for the server is a problem for
>> me--maybe
>>> even a blocker. Since the SDK is useless without the server, this may
> be
>> a
>>> problem for you.
>>>
>>> I like the SDK, idea. The alternative is logfiles to store prefs (not a
>>> bad architecture really) and a grow your own method for getting recs. I
>> did
>>> this same thing in Ruby+REST for a site and it might save a fair bit of
>>> work if you support the usual web app frameworks. The SDK for storing
>> prefs
>>> makes even more sense if you have realtime use of them. Unless you did
>>> something fancy with Mahout under the covers they will only take affect
>>> when the model is recalculated. It looks like you have a scheduler too
> as
>>> an answer to the new model issue. Pretty nice and a good example for
>> people
>>> rolling their own.
>>>
>>> The UI is interesting but I wonder how many recommenders any one user
> is
>>> going to create. I imagine you have in mind doing this as a service and
>>> that's why you have the UI and AGPL.
>>>
>>> On Mar 19, 2014, at 4:35 AM, Piero Giacomelli <pg...@gmail.com>
>> wrote:
>>>
>>> Dear Bertrand
>>>
>>> Yes, that was what I understood.
>>>
>>> But for me I miss a step.
>>>
>>> Let us take a practical example.
>>>
>>> I use SlopeRecommender engine and I implement its policy on how to
>>> evaluate the similarity.
>>>
>>> In this case I made a custom version on the engine right?
>>>
>>> The SKD is not customize. So my question is should I give the custom
> code
>>> to the client in chase he/she ask me.
>>>
>>> Piero
>>>
>>> Il 19/03/2014 11:56, Bertrand Dechoux ha scritto:
>>>> Affero GPL :
>> http://en.wikipedia.org/wiki/Affero_General_Public_License
>>>>
>>>> Alfresco is something else.
>>>>
>>>> It does imply that if you provide someone access to a custom version
> of
>>> the
>>>> engine, then you must provide the sources. But is only about the
> engine
>>> ie
>>>> not the clients, not the configuration, not the data. An official
>>>> confirmation would be welcome.
>>>>
>>>> Bertrand
>>>>
>>>>
>>>> On Wed, Mar 19, 2014 at 11:40 AM, Piero Giacomelli <
> pgiacome@gmail.com
>>>> wrote:
>>>>
>>>>> Dear Simon,
>>>>>
>>>>> thanks for informing us.
>>>>>
>>>>> I am now evaluating Prediction.io for creating a reccomandation
>> system.
>>>>>
>>>>> However as I see the license is an Alfresco Limited one.
>>>>>
>>>>> So I do not understand what are the limitation.
>>>>>
>>>>> I mean if I install prediction and I do make some chanages to the
>>> source
>>>>> code should I redistribute the whole to the predicition.iodeveloper
>>> team.
>>>>>
>>>>> Piero
>>>>>
>>>>> Il 18/03/2014 21:00, Simon Chan ha scritto:
>>>>>
>>>>> Hi,
>>>>>> After a year of work, I would like to present PredictionIO project
> (
>>>>>> https://github.com/PredictionIO) to this community.
>>>>>>
>>>>>> When a few of us were doing PhD study, Mahout was the de facto Java
>>>>>> package
>>>>>> that we used in many research work. This is a very powerful
> algorithm
>>>>>> library, yet we see that something needs to be done to make it more
>>>>>> accessible to developers in production environment.
>>>>>>
>>>>>> Therefore, we started the idea of PredictionIO, which adds a
>>>>>> developer-friendly REST API, a web admin UI and an integrated
>>>>>> infrastructure on top of Mahout. The project is still at its early
>>> stage.
>>>>>> CF algorithm libraries of Mahout is supported currently.
>>>>>>
>>>>>> *REST API and SDK* in Python, Ruby, Java, PHP, Node.js etc
>>>>>> Through the API layer, which supports both sync and asycn call,
> users
>>> can:
>>>>>>
>>>>>> - Record data
>>>>>> A sample SDK call:
>>>>>> * cli.identify("John")*
>>>>>> * cli.record_action_on_item("view", "Mahout Page 1")*
>>>>>>
>>>>>> - Query recommendation in real-time
>>>>>> A sample GEO-based recommendation query:
>>>>>> * r = cli.get_itemrec_topn("myEngine", 5, {"pio_latlng":[37.9,
>> 91.2]})*
>>>>>>
>>>>>>
>>>>>> *Web Admin UI*
>>>>>> Through the UI, users can:
>>>>>> - conduct algorithm evaluation with metrics such as MAP@k
>>>>>> - deploy / switch algorithm on production
>>>>>> - adjust recommendation preferences, such as Freshness,
> Serendipity,
>>>>>> Unseen-only filter etc
>>>>>>
>>>>>>
>>>>>> *Integrated Infrastructure*
>>>>>> PredictionIO helps users link Mahout, Hadoop, data store and job
>>> scheduler
>>>>>> etc together. The whole stack can be installed and configured in
>>> minutes.
>>>>>> It takes care of a lot of production issues, such as model
>> re-training
>>>>>> with
>>>>>> new data and prediction result indexing.
>>>>>>
>>>>>>
>>>>>> We are working hard to make it extremely easy for developers to
> build
>>>>>> Machine Learning into web and apps. Hopefully, PredictionIO can get
>>> Mahout
>>>>>> into the hands of a wider audience.
>>>>>>
>>>>>> Love to hear your feedback. If you are interested in the project,
>> just
>>>>>> remember that contributors are always welcome!
>>>>>>
>>>>>>
>>>>>> Regards,
>>>>>> Simon
>>>>>>
>>>>>>
>>>>> --
>>>>> Piero Giacomelli, Italia
>>>>> phone:+39 34 71 02 42 95
>>>>> e-mail: pgiacome@gmail.com
>>>>> skype: pgiacome
>>>>> my books
>>>>> ------------------------------------------------------------
>>>>> --------------------------------------
>>>>> Apache Mahout Cookbook <http://www.packtpub.com/
>>>>> apache-mahout-cookbook/book>
>>>>> HornetQ Messaging Developer's Guide <HornetQ%20Messaging%
>>>>> 20Developer%27s%20Guide>
>>>>> ------------------------------------------------------------
>>>>> --------------------------------------
>>>>>
>>>
>>>
>>> --
>>> Piero Giacomelli, Italia
>>> phone:+39 34 71 02 42 95
>>> e-mail: pgiacome@gmail.com
>>> skype: pgiacome
>>> my books
>>>
>>>
>>
> --------------------------------------------------------------------------------------------------
>>> Apache Mahout Cookbook <
>>> http://www.packtpub.com/apache-mahout-cookbook/book>
>>> HornetQ Messaging Developer's Guide
>>> <HornetQ%20Messaging%20Developer%27s%20Guide>
>>>
>>>
>>
> --------------------------------------------------------------------------------------------------
>>>
>>>
>>
>
>
--
Omar Christopher Eugene
http://about.me/mojo706
Re: Introducing PredictionIO: A developer-friendly Mahout stack for production
Posted by Christopher Eugene <xr...@gmail.com>.
This a great idea/project! I am primarily a PHP developer and was wondering
how I would use mahout in a project that I have had in mind for a while.
Thank you for this. Whatever changes I make if any I will give back. Keep
up the good work.
On Wed, Mar 19, 2014 at 11:08 PM, Ted Dunning <te...@gmail.com> wrote:
> [image: Boxbe] <https://www.boxbe.com/overview> This message is eligible
> for Automatic Cleanup! (ted.dunning@gmail.com) Add cleanup rule<https://www.boxbe.com/popup?url=https%3A%2F%2Fwww.boxbe.com%2Fcleanup%3Ftoken%3DbXHHP8OE%252BuEuN6NJT%252FL2F5uux0BeTMGK7MlZZMZtPfBe73EumEtdI9uDnIe09x4G2dNoQxMtg1zw6nf2r3P9pNyoyuFw9b0cNlJipcIH205cz%252BXV4kRvWsIK%252FHY%252FQqN5Y2bqtHK8eqcnGMo%252Ft6kdnQ%253D%253D%26key%3DPSkv2JZsWu%252BFnBR4N2vZUoJ9qWsWUGvCoZyzR1o5l08%253D&tc_serial=16669343250&tc_rand=1487459867&utm_source=stf&utm_medium=email&utm_campaign=ANNO_CLEANUP_ADD&utm_content=001>| More
> info<http://blog.boxbe.com/general/boxbe-automatic-cleanup?tc_serial=16669343250&tc_rand=1487459867&utm_source=stf&utm_medium=email&utm_campaign=ANNO_CLEANUP_ADD&utm_content=001>
>
> AGPL is a complete show-stopper for contributions even for dependencies.
> Apache software can't critically depend on GPL components of any sort.
>
> As such, it doesn't make any sense to have components of Mahout designed to
> run only on a server that is AGPL.
>
>
>
>
>
>
> On Wed, Mar 19, 2014 at 11:53 AM, Simon Chan <si...@gmail.com> wrote:
>
> > Thanks for the feedback. Happy to discuss how we can resolve the AGPL
> > limitation for your work.
> >
> > There are a few Ruby gem for PredictionIO, contributed by developers as
> > well as supported by PredictionIO team, that you can choose from. We hope
> > that the UI can assist developers manage the data engineering flow
> easily.
> >
> > Regards,
> > Simon
> >
> >
> > On Wed, Mar 19, 2014 at 10:32 AM, Pat Ferrel <pa...@occamsmachete.com>
> > wrote:
> >
> > > I looked at the docs and the AGPL for the server is a problem for
> > me--maybe
> > > even a blocker. Since the SDK is useless without the server, this may
> be
> > a
> > > problem for you.
> > >
> > > I like the SDK, idea. The alternative is logfiles to store prefs (not a
> > > bad architecture really) and a grow your own method for getting recs. I
> > did
> > > this same thing in Ruby+REST for a site and it might save a fair bit of
> > > work if you support the usual web app frameworks. The SDK for storing
> > prefs
> > > makes even more sense if you have realtime use of them. Unless you did
> > > something fancy with Mahout under the covers they will only take affect
> > > when the model is recalculated. It looks like you have a scheduler too
> as
> > > an answer to the new model issue. Pretty nice and a good example for
> > people
> > > rolling their own.
> > >
> > > The UI is interesting but I wonder how many recommenders any one user
> is
> > > going to create. I imagine you have in mind doing this as a service and
> > > that's why you have the UI and AGPL.
> > >
> > > On Mar 19, 2014, at 4:35 AM, Piero Giacomelli <pg...@gmail.com>
> > wrote:
> > >
> > > Dear Bertrand
> > >
> > > Yes, that was what I understood.
> > >
> > > But for me I miss a step.
> > >
> > > Let us take a practical example.
> > >
> > > I use SlopeRecommender engine and I implement its policy on how to
> > > evaluate the similarity.
> > >
> > > In this case I made a custom version on the engine right?
> > >
> > > The SKD is not customize. So my question is should I give the custom
> code
> > > to the client in chase he/she ask me.
> > >
> > > Piero
> > >
> > > Il 19/03/2014 11:56, Bertrand Dechoux ha scritto:
> > > > Affero GPL :
> > http://en.wikipedia.org/wiki/Affero_General_Public_License
> > > >
> > > > Alfresco is something else.
> > > >
> > > > It does imply that if you provide someone access to a custom version
> of
> > > the
> > > > engine, then you must provide the sources. But is only about the
> engine
> > > ie
> > > > not the clients, not the configuration, not the data. An official
> > > > confirmation would be welcome.
> > > >
> > > > Bertrand
> > > >
> > > >
> > > > On Wed, Mar 19, 2014 at 11:40 AM, Piero Giacomelli <
> pgiacome@gmail.com
> > > >wrote:
> > > >
> > > >> Dear Simon,
> > > >>
> > > >> thanks for informing us.
> > > >>
> > > >> I am now evaluating Prediction.io for creating a reccomandation
> > system.
> > > >>
> > > >> However as I see the license is an Alfresco Limited one.
> > > >>
> > > >> So I do not understand what are the limitation.
> > > >>
> > > >> I mean if I install prediction and I do make some chanages to the
> > > source
> > > >> code should I redistribute the whole to the predicition.iodeveloper
> > > team.
> > > >>
> > > >> Piero
> > > >>
> > > >> Il 18/03/2014 21:00, Simon Chan ha scritto:
> > > >>
> > > >> Hi,
> > > >>> After a year of work, I would like to present PredictionIO project
> (
> > > >>> https://github.com/PredictionIO) to this community.
> > > >>>
> > > >>> When a few of us were doing PhD study, Mahout was the de facto Java
> > > >>> package
> > > >>> that we used in many research work. This is a very powerful
> algorithm
> > > >>> library, yet we see that something needs to be done to make it more
> > > >>> accessible to developers in production environment.
> > > >>>
> > > >>> Therefore, we started the idea of PredictionIO, which adds a
> > > >>> developer-friendly REST API, a web admin UI and an integrated
> > > >>> infrastructure on top of Mahout. The project is still at its early
> > > stage.
> > > >>> CF algorithm libraries of Mahout is supported currently.
> > > >>>
> > > >>> *REST API and SDK* in Python, Ruby, Java, PHP, Node.js etc
> > > >>> Through the API layer, which supports both sync and asycn call,
> users
> > > can:
> > > >>>
> > > >>> - Record data
> > > >>> A sample SDK call:
> > > >>> * cli.identify("John")*
> > > >>> * cli.record_action_on_item("view", "Mahout Page 1")*
> > > >>>
> > > >>> - Query recommendation in real-time
> > > >>> A sample GEO-based recommendation query:
> > > >>> * r = cli.get_itemrec_topn("myEngine", 5, {"pio_latlng":[37.9,
> > 91.2]})*
> > > >>>
> > > >>>
> > > >>> *Web Admin UI*
> > > >>> Through the UI, users can:
> > > >>> - conduct algorithm evaluation with metrics such as MAP@k
> > > >>> - deploy / switch algorithm on production
> > > >>> - adjust recommendation preferences, such as Freshness,
> Serendipity,
> > > >>> Unseen-only filter etc
> > > >>>
> > > >>>
> > > >>> *Integrated Infrastructure*
> > > >>> PredictionIO helps users link Mahout, Hadoop, data store and job
> > > scheduler
> > > >>> etc together. The whole stack can be installed and configured in
> > > minutes.
> > > >>> It takes care of a lot of production issues, such as model
> > re-training
> > > >>> with
> > > >>> new data and prediction result indexing.
> > > >>>
> > > >>>
> > > >>> We are working hard to make it extremely easy for developers to
> build
> > > >>> Machine Learning into web and apps. Hopefully, PredictionIO can get
> > > Mahout
> > > >>> into the hands of a wider audience.
> > > >>>
> > > >>> Love to hear your feedback. If you are interested in the project,
> > just
> > > >>> remember that contributors are always welcome!
> > > >>>
> > > >>>
> > > >>> Regards,
> > > >>> Simon
> > > >>>
> > > >>>
> > > >> --
> > > >> Piero Giacomelli, Italia
> > > >> phone:+39 34 71 02 42 95
> > > >> e-mail: pgiacome@gmail.com
> > > >> skype: pgiacome
> > > >> my books
> > > >> ------------------------------------------------------------
> > > >> --------------------------------------
> > > >> Apache Mahout Cookbook <http://www.packtpub.com/
> > > >> apache-mahout-cookbook/book>
> > > >> HornetQ Messaging Developer's Guide <HornetQ%20Messaging%
> > > >> 20Developer%27s%20Guide>
> > > >> ------------------------------------------------------------
> > > >> --------------------------------------
> > > >>
> > >
> > >
> > > --
> > > Piero Giacomelli, Italia
> > > phone:+39 34 71 02 42 95
> > > e-mail: pgiacome@gmail.com
> > > skype: pgiacome
> > > my books
> > >
> > >
> >
> --------------------------------------------------------------------------------------------------
> > > Apache Mahout Cookbook <
> > > http://www.packtpub.com/apache-mahout-cookbook/book>
> > > HornetQ Messaging Developer's Guide
> > > <HornetQ%20Messaging%20Developer%27s%20Guide>
> > >
> > >
> >
> --------------------------------------------------------------------------------------------------
> > >
> > >
> >
>
>
--
Omar Christopher Eugene
http://about.me/mojo706
Re: Introducing PredictionIO: A developer-friendly Mahout stack for production
Posted by Simon Chan <si...@gmail.com>.
Thanks for the feedback. Happy to discuss how we can resolve the AGPL
limitation for your work.
There are a few Ruby gem for PredictionIO, contributed by developers as
well as supported by PredictionIO team, that you can choose from. We hope
that the UI can assist developers manage the data engineering flow easily.
Regards,
Simon
On Wed, Mar 19, 2014 at 10:32 AM, Pat Ferrel <pa...@occamsmachete.com> wrote:
> I looked at the docs and the AGPL for the server is a problem for me--maybe
> even a blocker. Since the SDK is useless without the server, this may be a
> problem for you.
>
> I like the SDK, idea. The alternative is logfiles to store prefs (not a
> bad architecture really) and a grow your own method for getting recs. I did
> this same thing in Ruby+REST for a site and it might save a fair bit of
> work if you support the usual web app frameworks. The SDK for storing prefs
> makes even more sense if you have realtime use of them. Unless you did
> something fancy with Mahout under the covers they will only take affect
> when the model is recalculated. It looks like you have a scheduler too as
> an answer to the new model issue. Pretty nice and a good example for people
> rolling their own.
>
> The UI is interesting but I wonder how many recommenders any one user is
> going to create. I imagine you have in mind doing this as a service and
> that's why you have the UI and AGPL.
>
> On Mar 19, 2014, at 4:35 AM, Piero Giacomelli <pg...@gmail.com> wrote:
>
> Dear Bertrand
>
> Yes, that was what I understood.
>
> But for me I miss a step.
>
> Let us take a practical example.
>
> I use SlopeRecommender engine and I implement its policy on how to
> evaluate the similarity.
>
> In this case I made a custom version on the engine right?
>
> The SKD is not customize. So my question is should I give the custom code
> to the client in chase he/she ask me.
>
> Piero
>
> Il 19/03/2014 11:56, Bertrand Dechoux ha scritto:
> > Affero GPL : http://en.wikipedia.org/wiki/Affero_General_Public_License
> >
> > Alfresco is something else.
> >
> > It does imply that if you provide someone access to a custom version of
> the
> > engine, then you must provide the sources. But is only about the engine
> ie
> > not the clients, not the configuration, not the data. An official
> > confirmation would be welcome.
> >
> > Bertrand
> >
> >
> > On Wed, Mar 19, 2014 at 11:40 AM, Piero Giacomelli <pgiacome@gmail.com
> >wrote:
> >
> >> Dear Simon,
> >>
> >> thanks for informing us.
> >>
> >> I am now evaluating Prediction.io for creating a reccomandation system.
> >>
> >> However as I see the license is an Alfresco Limited one.
> >>
> >> So I do not understand what are the limitation.
> >>
> >> I mean if I install prediction and I do make some chanages to the
> source
> >> code should I redistribute the whole to the predicition.io developer
> team.
> >>
> >> Piero
> >>
> >> Il 18/03/2014 21:00, Simon Chan ha scritto:
> >>
> >> Hi,
> >>> After a year of work, I would like to present PredictionIO project (
> >>> https://github.com/PredictionIO) to this community.
> >>>
> >>> When a few of us were doing PhD study, Mahout was the de facto Java
> >>> package
> >>> that we used in many research work. This is a very powerful algorithm
> >>> library, yet we see that something needs to be done to make it more
> >>> accessible to developers in production environment.
> >>>
> >>> Therefore, we started the idea of PredictionIO, which adds a
> >>> developer-friendly REST API, a web admin UI and an integrated
> >>> infrastructure on top of Mahout. The project is still at its early
> stage.
> >>> CF algorithm libraries of Mahout is supported currently.
> >>>
> >>> *REST API and SDK* in Python, Ruby, Java, PHP, Node.js etc
> >>> Through the API layer, which supports both sync and asycn call, users
> can:
> >>>
> >>> - Record data
> >>> A sample SDK call:
> >>> * cli.identify("John")*
> >>> * cli.record_action_on_item("view", "Mahout Page 1")*
> >>>
> >>> - Query recommendation in real-time
> >>> A sample GEO-based recommendation query:
> >>> * r = cli.get_itemrec_topn("myEngine", 5, {"pio_latlng":[37.9, 91.2]})*
> >>>
> >>>
> >>> *Web Admin UI*
> >>> Through the UI, users can:
> >>> - conduct algorithm evaluation with metrics such as MAP@k
> >>> - deploy / switch algorithm on production
> >>> - adjust recommendation preferences, such as Freshness, Serendipity,
> >>> Unseen-only filter etc
> >>>
> >>>
> >>> *Integrated Infrastructure*
> >>> PredictionIO helps users link Mahout, Hadoop, data store and job
> scheduler
> >>> etc together. The whole stack can be installed and configured in
> minutes.
> >>> It takes care of a lot of production issues, such as model re-training
> >>> with
> >>> new data and prediction result indexing.
> >>>
> >>>
> >>> We are working hard to make it extremely easy for developers to build
> >>> Machine Learning into web and apps. Hopefully, PredictionIO can get
> Mahout
> >>> into the hands of a wider audience.
> >>>
> >>> Love to hear your feedback. If you are interested in the project, just
> >>> remember that contributors are always welcome!
> >>>
> >>>
> >>> Regards,
> >>> Simon
> >>>
> >>>
> >> --
> >> Piero Giacomelli, Italia
> >> phone:+39 34 71 02 42 95
> >> e-mail: pgiacome@gmail.com
> >> skype: pgiacome
> >> my books
> >> ------------------------------------------------------------
> >> --------------------------------------
> >> Apache Mahout Cookbook <http://www.packtpub.com/
> >> apache-mahout-cookbook/book>
> >> HornetQ Messaging Developer's Guide <HornetQ%20Messaging%
> >> 20Developer%27s%20Guide>
> >> ------------------------------------------------------------
> >> --------------------------------------
> >>
>
>
> --
> Piero Giacomelli, Italia
> phone:+39 34 71 02 42 95
> e-mail: pgiacome@gmail.com
> skype: pgiacome
> my books
>
> --------------------------------------------------------------------------------------------------
> Apache Mahout Cookbook <
> http://www.packtpub.com/apache-mahout-cookbook/book>
> HornetQ Messaging Developer's Guide
> <HornetQ%20Messaging%20Developer%27s%20Guide>
>
> --------------------------------------------------------------------------------------------------
>
>
Re: Introducing PredictionIO: A developer-friendly Mahout stack for production
Posted by Pat Ferrel <pa...@occamsmachete.com>.
I looked at the docs and the AGPL for the server is a problem for me—maybe even a blocker. Since the SDK is useless without the server, this may be a problem for you.
I like the SDK, idea. The alternative is logfiles to store prefs (not a bad architecture really) and a grow your own method for getting recs. I did this same thing in Ruby+REST for a site and it might save a fair bit of work if you support the usual web app frameworks. The SDK for storing prefs makes even more sense if you have realtime use of them. Unless you did something fancy with Mahout under the covers they will only take affect when the model is recalculated. It looks like you have a scheduler too as an answer to the new model issue. Pretty nice and a good example for people rolling their own.
The UI is interesting but I wonder how many recommenders any one user is going to create. I imagine you have in mind doing this as a service and that’s why you have the UI and AGPL.
On Mar 19, 2014, at 4:35 AM, Piero Giacomelli <pg...@gmail.com> wrote:
Dear Bertrand
Yes, that was what I understood.
But for me I miss a step.
Let us take a practical example.
I use SlopeRecommender engine and I implement its policy on how to evaluate the similarity.
In this case I made a custom version on the engine right?
The SKD is not customize. So my question is should I give the custom code to the client in chase he/she ask me.
Piero
Il 19/03/2014 11:56, Bertrand Dechoux ha scritto:
> Affero GPL : http://en.wikipedia.org/wiki/Affero_General_Public_License
>
> Alfresco is something else.
>
> It does imply that if you provide someone access to a custom version of the
> engine, then you must provide the sources. But is only about the engine ie
> not the clients, not the configuration, not the data. An official
> confirmation would be welcome.
>
> Bertrand
>
>
> On Wed, Mar 19, 2014 at 11:40 AM, Piero Giacomelli <pg...@gmail.com>wrote:
>
>> Dear Simon,
>>
>> thanks for informing us.
>>
>> I am now evaluating Prediction.io for creating a reccomandation system.
>>
>> However as I see the license is an Alfresco Limited one.
>>
>> So I do not understand what are the limitation.
>>
>> I mean if I install prediction and I do make some chanages to the source
>> code should I redistribute the whole to the predicition.io developer team.
>>
>> Piero
>>
>> Il 18/03/2014 21:00, Simon Chan ha scritto:
>>
>> Hi,
>>> After a year of work, I would like to present PredictionIO project (
>>> https://github.com/PredictionIO) to this community.
>>>
>>> When a few of us were doing PhD study, Mahout was the de facto Java
>>> package
>>> that we used in many research work. This is a very powerful algorithm
>>> library, yet we see that something needs to be done to make it more
>>> accessible to developers in production environment.
>>>
>>> Therefore, we started the idea of PredictionIO, which adds a
>>> developer-friendly REST API, a web admin UI and an integrated
>>> infrastructure on top of Mahout. The project is still at its early stage.
>>> CF algorithm libraries of Mahout is supported currently.
>>>
>>> *REST API and SDK* in Python, Ruby, Java, PHP, Node.js etc
>>> Through the API layer, which supports both sync and asycn call, users can:
>>>
>>> - Record data
>>> A sample SDK call:
>>> * cli.identify("John")*
>>> * cli.record_action_on_item("view", "Mahout Page 1")*
>>>
>>> - Query recommendation in real-time
>>> A sample GEO-based recommendation query:
>>> * r = cli.get_itemrec_topn("myEngine", 5, {"pio_latlng":[37.9, 91.2]})*
>>>
>>>
>>> *Web Admin UI*
>>> Through the UI, users can:
>>> - conduct algorithm evaluation with metrics such as MAP@k
>>> - deploy / switch algorithm on production
>>> - adjust recommendation preferences, such as Freshness, Serendipity,
>>> Unseen-only filter etc
>>>
>>>
>>> *Integrated Infrastructure*
>>> PredictionIO helps users link Mahout, Hadoop, data store and job scheduler
>>> etc together. The whole stack can be installed and configured in minutes.
>>> It takes care of a lot of production issues, such as model re-training
>>> with
>>> new data and prediction result indexing.
>>>
>>>
>>> We are working hard to make it extremely easy for developers to build
>>> Machine Learning into web and apps. Hopefully, PredictionIO can get Mahout
>>> into the hands of a wider audience.
>>>
>>> Love to hear your feedback. If you are interested in the project, just
>>> remember that contributors are always welcome!
>>>
>>>
>>> Regards,
>>> Simon
>>>
>>>
>> --
>> Piero Giacomelli, Italia
>> phone:+39 34 71 02 42 95
>> e-mail: pgiacome@gmail.com
>> skype: pgiacome
>> my books
>> ------------------------------------------------------------
>> --------------------------------------
>> Apache Mahout Cookbook <http://www.packtpub.com/
>> apache-mahout-cookbook/book>
>> HornetQ Messaging Developer's Guide <HornetQ%20Messaging%
>> 20Developer%27s%20Guide>
>> ------------------------------------------------------------
>> --------------------------------------
>>
--
Piero Giacomelli, Italia
phone:+39 34 71 02 42 95
e-mail: pgiacome@gmail.com
skype: pgiacome
my books
--------------------------------------------------------------------------------------------------
Apache Mahout Cookbook <http://www.packtpub.com/apache-mahout-cookbook/book>
HornetQ Messaging Developer's Guide <HornetQ%20Messaging%20Developer%27s%20Guide>
--------------------------------------------------------------------------------------------------
Re: Introducing PredictionIO: A developer-friendly Mahout stack for production
Posted by Simon Chan <si...@gmail.com>.
Dear Piero,
The AGPL is to encourage people who develop on PredictionIO contributes
back to the open community, even though they are using it to offer cloud
services. We are seriously looking into the possibility of making custom
engines/algorithms separated from the main server code, so that they don't
need to follow AGPL.
In the meantime, if you have any specific questions or requirement in terms
of licensing, please contact PredictionIO team and we'll try to work it out.
Regards,
Simon
On Wed, Mar 19, 2014 at 4:35 AM, Piero Giacomelli <pg...@gmail.com>wrote:
> Dear Bertrand
>
> Yes, that was what I understood.
>
> But for me I miss a step.
>
> Let us take a practical example.
>
> I use SlopeRecommender engine and I implement its policy on how to
> evaluate the similarity.
>
> In this case I made a custom version on the engine right?
>
> The SKD is not customize. So my question is should I give the custom code
> to the client in chase he/she ask me.
>
> Piero
>
> Il 19/03/2014 11:56, Bertrand Dechoux ha scritto:
>
> Affero GPL : http://en.wikipedia.org/wiki/Affero_General_Public_License
>>
>> Alfresco is something else.
>>
>> It does imply that if you provide someone access to a custom version of
>> the
>> engine, then you must provide the sources. But is only about the engine ie
>> not the clients, not the configuration, not the data. An official
>> confirmation would be welcome.
>>
>> Bertrand
>>
>>
>> On Wed, Mar 19, 2014 at 11:40 AM, Piero Giacomelli <pgiacome@gmail.com
>> >wrote:
>>
>> Dear Simon,
>>>
>>> thanks for informing us.
>>>
>>> I am now evaluating Prediction.io for creating a reccomandation system.
>>>
>>> However as I see the license is an Alfresco Limited one.
>>>
>>> So I do not understand what are the limitation.
>>>
>>> I mean if I install prediction and I do make some chanages to the source
>>> code should I redistribute the whole to the predicition.io developer
>>> team.
>>>
>>> Piero
>>>
>>> Il 18/03/2014 21:00, Simon Chan ha scritto:
>>>
>>> Hi,
>>>
>>>> After a year of work, I would like to present PredictionIO project (
>>>> https://github.com/PredictionIO) to this community.
>>>>
>>>> When a few of us were doing PhD study, Mahout was the de facto Java
>>>> package
>>>> that we used in many research work. This is a very powerful algorithm
>>>> library, yet we see that something needs to be done to make it more
>>>> accessible to developers in production environment.
>>>>
>>>> Therefore, we started the idea of PredictionIO, which adds a
>>>> developer-friendly REST API, a web admin UI and an integrated
>>>> infrastructure on top of Mahout. The project is still at its early
>>>> stage.
>>>> CF algorithm libraries of Mahout is supported currently.
>>>>
>>>> *REST API and SDK* in Python, Ruby, Java, PHP, Node.js etc
>>>> Through the API layer, which supports both sync and asycn call, users
>>>> can:
>>>>
>>>> - Record data
>>>> A sample SDK call:
>>>> * cli.identify("John")*
>>>> * cli.record_action_on_item("view", "Mahout Page 1")*
>>>>
>>>> - Query recommendation in real-time
>>>> A sample GEO-based recommendation query:
>>>> * r = cli.get_itemrec_topn("myEngine", 5, {"pio_latlng":[37.9, 91.2]})*
>>>>
>>>>
>>>> *Web Admin UI*
>>>> Through the UI, users can:
>>>> - conduct algorithm evaluation with metrics such as MAP@k
>>>> - deploy / switch algorithm on production
>>>> - adjust recommendation preferences, such as Freshness, Serendipity,
>>>> Unseen-only filter etc
>>>>
>>>>
>>>> *Integrated Infrastructure*
>>>> PredictionIO helps users link Mahout, Hadoop, data store and job
>>>> scheduler
>>>> etc together. The whole stack can be installed and configured in
>>>> minutes.
>>>> It takes care of a lot of production issues, such as model re-training
>>>> with
>>>> new data and prediction result indexing.
>>>>
>>>>
>>>> We are working hard to make it extremely easy for developers to build
>>>> Machine Learning into web and apps. Hopefully, PredictionIO can get
>>>> Mahout
>>>> into the hands of a wider audience.
>>>>
>>>> Love to hear your feedback. If you are interested in the project, just
>>>> remember that contributors are always welcome!
>>>>
>>>>
>>>> Regards,
>>>> Simon
>>>>
>>>>
>>>> --
>>> Piero Giacomelli, Italia
>>> phone:+39 34 71 02 42 95
>>> e-mail: pgiacome@gmail.com
>>> skype: pgiacome
>>> my books
>>> ------------------------------------------------------------
>>> --------------------------------------
>>> Apache Mahout Cookbook <http://www.packtpub.com/
>>> apache-mahout-cookbook/book>
>>> HornetQ Messaging Developer's Guide <HornetQ%20Messaging%
>>> 20Developer%27s%20Guide>
>>> ------------------------------------------------------------
>>> --------------------------------------
>>>
>>>
>
> --
> Piero Giacomelli, Italia
> phone:+39 34 71 02 42 95
> e-mail: pgiacome@gmail.com
> skype: pgiacome
> my books
> ------------------------------------------------------------
> --------------------------------------
> Apache Mahout Cookbook <http://www.packtpub.com/
> apache-mahout-cookbook/book>
> HornetQ Messaging Developer's Guide <HornetQ%20Messaging%
> 20Developer%27s%20Guide>
> ------------------------------------------------------------
> --------------------------------------
>
Re: Introducing PredictionIO: A developer-friendly Mahout stack for
production
Posted by Piero Giacomelli <pg...@gmail.com>.
Dear Bertrand
Yes, that was what I understood.
But for me I miss a step.
Let us take a practical example.
I use SlopeRecommender engine and I implement its policy on how to
evaluate the similarity.
In this case I made a custom version on the engine right?
The SKD is not customize. So my question is should I give the custom
code to the client in chase he/she ask me.
Piero
Il 19/03/2014 11:56, Bertrand Dechoux ha scritto:
> Affero GPL : http://en.wikipedia.org/wiki/Affero_General_Public_License
>
> Alfresco is something else.
>
> It does imply that if you provide someone access to a custom version of the
> engine, then you must provide the sources. But is only about the engine ie
> not the clients, not the configuration, not the data. An official
> confirmation would be welcome.
>
> Bertrand
>
>
> On Wed, Mar 19, 2014 at 11:40 AM, Piero Giacomelli <pg...@gmail.com>wrote:
>
>> Dear Simon,
>>
>> thanks for informing us.
>>
>> I am now evaluating Prediction.io for creating a reccomandation system.
>>
>> However as I see the license is an Alfresco Limited one.
>>
>> So I do not understand what are the limitation.
>>
>> I mean if I install prediction and I do make some chanages to the source
>> code should I redistribute the whole to the predicition.io developer team.
>>
>> Piero
>>
>> Il 18/03/2014 21:00, Simon Chan ha scritto:
>>
>> Hi,
>>> After a year of work, I would like to present PredictionIO project (
>>> https://github.com/PredictionIO) to this community.
>>>
>>> When a few of us were doing PhD study, Mahout was the de facto Java
>>> package
>>> that we used in many research work. This is a very powerful algorithm
>>> library, yet we see that something needs to be done to make it more
>>> accessible to developers in production environment.
>>>
>>> Therefore, we started the idea of PredictionIO, which adds a
>>> developer-friendly REST API, a web admin UI and an integrated
>>> infrastructure on top of Mahout. The project is still at its early stage.
>>> CF algorithm libraries of Mahout is supported currently.
>>>
>>> *REST API and SDK* in Python, Ruby, Java, PHP, Node.js etc
>>> Through the API layer, which supports both sync and asycn call, users can:
>>>
>>> - Record data
>>> A sample SDK call:
>>> * cli.identify("John")*
>>> * cli.record_action_on_item("view", "Mahout Page 1")*
>>>
>>> - Query recommendation in real-time
>>> A sample GEO-based recommendation query:
>>> * r = cli.get_itemrec_topn("myEngine", 5, {"pio_latlng":[37.9, 91.2]})*
>>>
>>>
>>> *Web Admin UI*
>>> Through the UI, users can:
>>> - conduct algorithm evaluation with metrics such as MAP@k
>>> - deploy / switch algorithm on production
>>> - adjust recommendation preferences, such as Freshness, Serendipity,
>>> Unseen-only filter etc
>>>
>>>
>>> *Integrated Infrastructure*
>>> PredictionIO helps users link Mahout, Hadoop, data store and job scheduler
>>> etc together. The whole stack can be installed and configured in minutes.
>>> It takes care of a lot of production issues, such as model re-training
>>> with
>>> new data and prediction result indexing.
>>>
>>>
>>> We are working hard to make it extremely easy for developers to build
>>> Machine Learning into web and apps. Hopefully, PredictionIO can get Mahout
>>> into the hands of a wider audience.
>>>
>>> Love to hear your feedback. If you are interested in the project, just
>>> remember that contributors are always welcome!
>>>
>>>
>>> Regards,
>>> Simon
>>>
>>>
>> --
>> Piero Giacomelli, Italia
>> phone:+39 34 71 02 42 95
>> e-mail: pgiacome@gmail.com
>> skype: pgiacome
>> my books
>> ------------------------------------------------------------
>> --------------------------------------
>> Apache Mahout Cookbook <http://www.packtpub.com/
>> apache-mahout-cookbook/book>
>> HornetQ Messaging Developer's Guide <HornetQ%20Messaging%
>> 20Developer%27s%20Guide>
>> ------------------------------------------------------------
>> --------------------------------------
>>
--
Piero Giacomelli, Italia
phone:+39 34 71 02 42 95
e-mail: pgiacome@gmail.com
skype: pgiacome
my books
--------------------------------------------------------------------------------------------------
Apache Mahout Cookbook <http://www.packtpub.com/apache-mahout-cookbook/book>
HornetQ Messaging Developer's Guide
<HornetQ%20Messaging%20Developer%27s%20Guide>
--------------------------------------------------------------------------------------------------
Re: Introducing PredictionIO: A developer-friendly Mahout stack for production
Posted by Bertrand Dechoux <de...@gmail.com>.
Affero GPL : http://en.wikipedia.org/wiki/Affero_General_Public_License
Alfresco is something else.
It does imply that if you provide someone access to a custom version of the
engine, then you must provide the sources. But is only about the engine ie
not the clients, not the configuration, not the data. An official
confirmation would be welcome.
Bertrand
On Wed, Mar 19, 2014 at 11:40 AM, Piero Giacomelli <pg...@gmail.com>wrote:
> Dear Simon,
>
> thanks for informing us.
>
> I am now evaluating Prediction.io for creating a reccomandation system.
>
> However as I see the license is an Alfresco Limited one.
>
> So I do not understand what are the limitation.
>
> I mean if I install prediction and I do make some chanages to the source
> code should I redistribute the whole to the predicition.io developer team.
>
> Piero
>
> Il 18/03/2014 21:00, Simon Chan ha scritto:
>
> Hi,
>>
>> After a year of work, I would like to present PredictionIO project (
>> https://github.com/PredictionIO) to this community.
>>
>> When a few of us were doing PhD study, Mahout was the de facto Java
>> package
>> that we used in many research work. This is a very powerful algorithm
>> library, yet we see that something needs to be done to make it more
>> accessible to developers in production environment.
>>
>> Therefore, we started the idea of PredictionIO, which adds a
>> developer-friendly REST API, a web admin UI and an integrated
>> infrastructure on top of Mahout. The project is still at its early stage.
>> CF algorithm libraries of Mahout is supported currently.
>>
>> *REST API and SDK* in Python, Ruby, Java, PHP, Node.js etc
>> Through the API layer, which supports both sync and asycn call, users can:
>>
>> - Record data
>> A sample SDK call:
>> * cli.identify("John")*
>> * cli.record_action_on_item("view", "Mahout Page 1")*
>>
>> - Query recommendation in real-time
>> A sample GEO-based recommendation query:
>> * r = cli.get_itemrec_topn("myEngine", 5, {"pio_latlng":[37.9, 91.2]})*
>>
>>
>> *Web Admin UI*
>> Through the UI, users can:
>> - conduct algorithm evaluation with metrics such as MAP@k
>> - deploy / switch algorithm on production
>> - adjust recommendation preferences, such as Freshness, Serendipity,
>> Unseen-only filter etc
>>
>>
>> *Integrated Infrastructure*
>> PredictionIO helps users link Mahout, Hadoop, data store and job scheduler
>> etc together. The whole stack can be installed and configured in minutes.
>> It takes care of a lot of production issues, such as model re-training
>> with
>> new data and prediction result indexing.
>>
>>
>> We are working hard to make it extremely easy for developers to build
>> Machine Learning into web and apps. Hopefully, PredictionIO can get Mahout
>> into the hands of a wider audience.
>>
>> Love to hear your feedback. If you are interested in the project, just
>> remember that contributors are always welcome!
>>
>>
>> Regards,
>> Simon
>>
>>
>
> --
> Piero Giacomelli, Italia
> phone:+39 34 71 02 42 95
> e-mail: pgiacome@gmail.com
> skype: pgiacome
> my books
> ------------------------------------------------------------
> --------------------------------------
> Apache Mahout Cookbook <http://www.packtpub.com/
> apache-mahout-cookbook/book>
> HornetQ Messaging Developer's Guide <HornetQ%20Messaging%
> 20Developer%27s%20Guide>
> ------------------------------------------------------------
> --------------------------------------
>
Re: Introducing PredictionIO: A developer-friendly Mahout stack for
production
Posted by Piero Giacomelli <pg...@gmail.com>.
Dear Simon,
thanks for informing us.
I am now evaluating Prediction.io for creating a reccomandation system.
However as I see the license is an Alfresco Limited one.
So I do not understand what are the limitation.
I mean if I install prediction and I do make some chanages to the
source code should I redistribute the whole to the predicition.io
developer team.
Piero
Il 18/03/2014 21:00, Simon Chan ha scritto:
> Hi,
>
> After a year of work, I would like to present PredictionIO project (
> https://github.com/PredictionIO) to this community.
>
> When a few of us were doing PhD study, Mahout was the de facto Java package
> that we used in many research work. This is a very powerful algorithm
> library, yet we see that something needs to be done to make it more
> accessible to developers in production environment.
>
> Therefore, we started the idea of PredictionIO, which adds a
> developer-friendly REST API, a web admin UI and an integrated
> infrastructure on top of Mahout. The project is still at its early stage.
> CF algorithm libraries of Mahout is supported currently.
>
> *REST API and SDK* in Python, Ruby, Java, PHP, Node.js etc
> Through the API layer, which supports both sync and asycn call, users can:
>
> - Record data
> A sample SDK call:
> * cli.identify("John")*
> * cli.record_action_on_item("view", "Mahout Page 1")*
>
> - Query recommendation in real-time
> A sample GEO-based recommendation query:
> * r = cli.get_itemrec_topn("myEngine", 5, {"pio_latlng":[37.9, 91.2]})*
>
>
> *Web Admin UI*
> Through the UI, users can:
> - conduct algorithm evaluation with metrics such as MAP@k
> - deploy / switch algorithm on production
> - adjust recommendation preferences, such as Freshness, Serendipity,
> Unseen-only filter etc
>
>
> *Integrated Infrastructure*
> PredictionIO helps users link Mahout, Hadoop, data store and job scheduler
> etc together. The whole stack can be installed and configured in minutes.
> It takes care of a lot of production issues, such as model re-training with
> new data and prediction result indexing.
>
>
> We are working hard to make it extremely easy for developers to build
> Machine Learning into web and apps. Hopefully, PredictionIO can get Mahout
> into the hands of a wider audience.
>
> Love to hear your feedback. If you are interested in the project, just
> remember that contributors are always welcome!
>
>
> Regards,
> Simon
>
--
Piero Giacomelli, Italia
phone:+39 34 71 02 42 95
e-mail: pgiacome@gmail.com
skype: pgiacome
my books
--------------------------------------------------------------------------------------------------
Apache Mahout Cookbook <http://www.packtpub.com/apache-mahout-cookbook/book>
HornetQ Messaging Developer's Guide
<HornetQ%20Messaging%20Developer%27s%20Guide>
--------------------------------------------------------------------------------------------------