[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16827987#comment-16827987 ] Udit Arora commented on STATISTICS-7: - Sir Gilles and Sir Eric I made a pull request. I don't know if I did it right of if I missed anything. Also its a minor change which I thought might be helpful. Please let me know if its fine. I will continue contributing since this is kinda fun... :) Thanks > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > As functional programming grows increasingly central to big data applications > we believe these libraries will play an important function in the data > engineering ecosystem. In particular, data engineering is widely done with > Java, then passed to other languages for data-scientific analyses; however, > the common availability of functionally implemented statistical mapping and > reductions in Java could prove very useful at the interface of data science > and engineering, by enabling teams to more easily perform reductions on the > engineering side before handing off to the analysis side. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Issue Comment Deleted] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Udit Arora updated STATISTICS-7: Comment: was deleted (was: Sir, I saw some way to make a code better in commons-statistics repository. But I can't figure out how to make show the changes i wanna make. I have cloned the repository after that I am not sure what to do.? ) > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > As functional programming grows increasingly central to big data applications > we believe these libraries will play an important function in the data > engineering ecosystem. In particular, data engineering is widely done with > Java, then passed to other languages for data-scientific analyses; however, > the common availability of functionally implemented statistical mapping and > reductions in Java could prove very useful at the interface of data science > and engineering, by enabling teams to more easily perform reductions on the > engineering side before handing off to the analysis side. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16827911#comment-16827911 ] Udit Arora commented on STATISTICS-7: - Sir, I saw some way to make a code better in commons-statistics repository. But I can't figure out how to make show the changes i wanna make. I have cloned the repository after that I am not sure what to do.? > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > As functional programming grows increasingly central to big data applications > we believe these libraries will play an important function in the data > engineering ecosystem. In particular, data engineering is widely done with > Java, then passed to other languages for data-scientific analyses; however, > the common availability of functionally implemented statistical mapping and > reductions in Java could prove very useful at the interface of data science > and engineering, by enabling teams to more easily perform reductions on the > engineering side before handing off to the analysis side. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Comment Edited] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16816411#comment-16816411 ] Udit Arora edited comment on STATISTICS-7 at 4/12/19 4:17 PM: -- Sure Sir. I intend to stay around. Currently I am closing my end semester exams and lab exams. Also, I have to complete one project with my team. So I might be a little less active. But I will try to be active here for any updates. Also I will look at the commons statistics repository, see what I can do.. Thanks was (Author: udit arora): Sure Sir. I intend to stay around. Currently I am closing my end semester exams and lab exams. So I might be a little less active. But I will try to be active here for any updates. Also I will look at the commons statistics repository, see what I can do.. Thanks > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > As functional programming grows increasingly central to big data applications > we believe these libraries will play an important function in the data > engineering ecosystem. In particular, data engineering is widely done with > Java, then passed to other languages for data-scientific analyses; however, > the common availability of functionally implemented statistical mapping and > reductions in Java could prove very useful at the interface of data science > and engineering, by enabling teams to more easily perform reductions on the > engineering side before handing off to the analysis side. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16816411#comment-16816411 ] Udit Arora commented on STATISTICS-7: - Sure Sir. I intend to stay around. Currently I am closing my end semester exams and lab exams. So I might be a little less active. But I will try to be active here for any updates. Also I will look at the commons statistics repository, see what I can do.. Thanks > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > As functional programming grows increasingly central to big data applications > we believe these libraries will play an important function in the data > engineering ecosystem. In particular, data engineering is widely done with > Java, then passed to other languages for data-scientific analyses; however, > the common availability of functionally implemented statistical mapping and > reductions in Java could prove very useful at the interface of data science > and engineering, by enabling teams to more easily perform reductions on the > engineering side before handing off to the analysis side. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16815446#comment-16815446 ] Udit Arora commented on STATISTICS-7: - Sir Now since I have to wait.. what could I do towards this project? Anything that I should explore or learn..? > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > As functional programming grows increasingly central to big data applications > we believe these libraries will play an important function in the data > engineering ecosystem. In particular, data engineering is widely done with > Java, then passed to other languages for data-scientific analyses; however, > the common availability of functionally implemented statistical mapping and > reductions in Java could prove very useful at the interface of data science > and engineering, by enabling teams to more easily perform reductions on the > engineering side before handing off to the analysis side. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16812516#comment-16812516 ] Udit Arora commented on STATISTICS-7: - Sir, I have written my final comment. Just see to it, so that I can submit my final proposal tomorrow, well in time. Thanks a lot > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > As functional programming grows increasingly central to big data applications > we believe these libraries will play an important function in the data > engineering ecosystem. In particular, data engineering is widely done with > Java, then passed to other languages for data-scientific analyses; however, > the common availability of functionally implemented statistical mapping and > reductions in Java could prove very useful at the interface of data science > and engineering, by enabling teams to more easily perform reductions on the > engineering side before handing off to the analysis side. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Comment Edited] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16812358#comment-16812358 ] Udit Arora edited comment on STATISTICS-7 at 4/8/19 11:37 AM: -- Sir Gilles. Please look at my replies. I am open to all feedback. Thanks. was (Author: udit arora): Sir Gilles. Please look at my replies. As always I am open to feedback. Thanks. > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > As functional programming grows increasingly central to big data applications > we believe these libraries will play an important function in the data > engineering ecosystem. In particular, data engineering is widely done with > Java, then passed to other languages for data-scientific analyses; however, > the common availability of functionally implemented statistical mapping and > reductions in Java could prove very useful at the interface of data science > and engineering, by enabling teams to more easily perform reductions on the > engineering side before handing off to the analysis side. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16812358#comment-16812358 ] Udit Arora commented on STATISTICS-7: - Sir Gilles. Please look at my replies. As always I am open to feedback. Thanks. > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > As functional programming grows increasingly central to big data applications > we believe these libraries will play an important function in the data > engineering ecosystem. In particular, data engineering is widely done with > Java, then passed to other languages for data-scientific analyses; however, > the common availability of functionally implemented statistical mapping and > reductions in Java could prove very useful at the interface of data science > and engineering, by enabling teams to more easily perform reductions on the > engineering side before handing off to the analysis side. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16811219#comment-16811219 ] Udit Arora commented on STATISTICS-7: - Sir Gilles I have made some changes, and am open to all feedback you give. Please let me know what to improve. Thanks. > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16810293#comment-16810293 ] Udit Arora commented on STATISTICS-7: - Sir I have submitted my draft. I have shared the link. Please let me know the feedback. Thanks a lot. > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (NUMBERS-98) Port commons-math.linear to commons-numbers.linear
[ https://issues.apache.org/jira/browse/NUMBERS-98?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16807943#comment-16807943 ] Udit Arora commented on NUMBERS-98: --- Sir I have started watching this issue as well. I will dig deeper and see if I am suitable for this project. Thanks sir for guiding me. > Port commons-math.linear to commons-numbers.linear > -- > > Key: NUMBERS-98 > URL: https://issues.apache.org/jira/browse/NUMBERS-98 > Project: Commons Numbers > Issue Type: Task >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019 > > Apache commons is one of the most widely used supplementary resources by Java > programmers and its mathematical functions are widely used. > Basic operations of linear algebra such as matrix factorization are not only > in use in scientific and technical fields but widely in industry, and an > accessible and standalone library for this functionality would have a wide > potential audience. > This ticket is in three parts: > # Port the libraries from commons-math.linear into commons-numbers.linear, > removing unnecessary layers of abstraction and creating a simple, intuitive, > standalone library. > # The developer should familiarize themselves with best bractices in linear > algebra such as those in the EJML, and redevelop the linear library to > contain best practice implementations. > # The developer should work with developers of other math and statistics > projects to integrate their work where it can benefit those projects. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Comment Edited] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16807832#comment-16807832 ] Udit Arora edited comment on STATISTICS-7 at 4/2/19 3:04 PM: - Sir I am interested in both. But since I have been following this discussion, I plan to stick to this. But now that I know I might send a proposal there as well, I would be thankful if you could send the link for that project on matrix algebra, thanks in advance. But currently this project is my priority. was (Author: udit arora): Sir I am interested in both. But since I have been following this discussion, I plan to stick to this. But now that I know I might send a proposal there as well. But currently this project is my priority. > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16807832#comment-16807832 ] Udit Arora commented on STATISTICS-7: - Sir I am interested in both. But since I have been following this discussion, I plan to stick to this. But now that I know I might send a proposal there as well. But currently this project is my priority. > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16807103#comment-16807103 ] Udit Arora commented on STATISTICS-7: - Sir Gilles I may not be the best but I have very deep knowledge of linear algebra or matrix algebra as you said. I have studied this topic in detail, and am familiar with all of the mathematics part. It actually is one of my favorite fields of mathematics. It has been one of our courses in 1st semester. From determinant to eigenvectors, SVD I have knowledge of mathematics part completely. There surely must be more than that, but I am familiar with this topic to a good level. If I am of any in this regard let me know. > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16806966#comment-16806966 ] Udit Arora commented on STATISTICS-7: - Sir Since this is my first time applying, I am a bit scared and worried, any advice sir? > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16805751#comment-16805751 ] Udit Arora commented on STATISTICS-7: - Sir http://community.apache.org/gsoc.html#students-read-this Sir should I follow the application template in this link for drafting my proposal? Thanks > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Comment Edited] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16805264#comment-16805264 ] Udit Arora edited comment on STATISTICS-7 at 3/29/19 6:04 PM: -- Sir Eric Barnhilll and Sir Gilles Do we intend to include functions that help aid calculations in machine learning. We can add somethings such that given a data set we could give the number of parameters that would give a classifier decent enough so that loss is not minimized but still is a significantly low number? Since I am new to machine learning I am not aware if there already exists a function as that. If not and it is intended that we implement such a function, i would begin my digging into it among other things.. Thanks was (Author: udit arora): Sir Eric Barnhilll and Sir Gilles Do we intend to include functions that help aid calculations in machine learning. We can add somethings such that given a data set we could give the number of parameters that would give a classifier decent enough so that loss is not minimized but still is a significantly low number? Since I am new to machine learning I am not aware if there already exists a function as that. Thanks > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16805264#comment-16805264 ] Udit Arora commented on STATISTICS-7: - Sir Eric Barnhilll and Sir Gilles Do we intend to include functions that help aid calculations in machine learning. We can add somethings such that given a data set we could give the number of parameters that would give a classifier decent enough so that loss is not minimized but still is a significantly low number? Since I am new to machine learning I am not aware if there already exists a function as that. Thanks > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16801900#comment-16801900 ] Udit Arora commented on STATISTICS-7: - Sure sir. I will continue to dig deeper, since you can never know enough of any particular thing.. :) > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16801879#comment-16801879 ] Udit Arora commented on STATISTICS-7: - Sir Eric Barnhill and Sir Gilles I am not a data scientist sir, but I am pursuing Computer Science Engineering and I am currently in my second semester. Even though I have decent good knowledge in Statistics as it has been taught to us and I am also looking up somethings on the Internet and have decent knowledge of Java and Python as well, what things other than this should I know so as to be capable to work on this project? > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16801361#comment-16801361 ] Udit Arora commented on STATISTICS-7: - Khaled Emara Sir, I am very much interested in this project. As you said languages like R and Python may be needed, I was trying to implement some statistical data using python which involved multivariate regression, so as to be more comfortable with the language. Sorry for not being active. But sir I want to be fully prepared for this project so I started doing somethings on python. Also some assignments from college also took my time. But sir, I am familiar with all the terms Virendra Singh mentioned in his last comment. Sir now that you drew my attention, I will try to be more active. Thanks > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > The ideal contributor will also be able to help with important architectural > decision making. The old source of these libraries, commons-math, grew too > large, hierarchically complex and interdependent for the commons mission. The > developers on this project need to make architectural choices that will > enable the statiscal code to be lightweight and reusable, with a minimum of > outside dependencies while avoiding redundancy. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) Stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16794275#comment-16794275 ] Udit Arora commented on STATISTICS-7: - Thanks for the reply. Would any language other than Java be needed so that I can prepare myself for it? > Stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The new component aims to be a library of commons statistics functions > synchronized with the latest developments in the Java language, in particular > Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (STATISTICS-7) commons-numbers-statistics: stream-based Java statistical processing
[ https://issues.apache.org/jira/browse/STATISTICS-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16794268#comment-16794268 ] Udit Arora commented on STATISTICS-7: - Sir I want to work on this project under GSOC. I am a first year undergrduate student at Indraprastha Institute of Information Technology New Delhi India. Please let me know how I can apply. Thanks > commons-numbers-statistics: stream-based Java statistical processing > > > Key: STATISTICS-7 > URL: https://issues.apache.org/jira/browse/STATISTICS-7 > Project: Apache Commons Statistics > Issue Type: New Feature >Reporter: Eric Barnhill >Priority: Major > Labels: GSoC2019, gsoc2019, statistics, streams > > The Apache commons-numbers project would like to initiate work on a new > component, commons-numbers-statistics, which aims to be a library of commons > statistics functions synchronized with the latest developments in the Java > language, in particular Java's functional programming syntax. > The library will make commonly used statistical functions available to an end > user through a simple grammar comparable to commons-math-statistics or > scikit-learn, while under the hood will implement Java's mapping, streaming, > and other producer and consumer functions to ensure the statistical methods > run optimally in new Java implementations. > Developers working on the project will have the opportunity to demonstrate > Java programming, functional programming, algorithm design, and data science > skills and receive authorship on a commons project that is likely to be > widely used. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
