search for: listnet

...referred algorithms for the purpose of choosing the right one. I am mentioning here some of my doubts to discuss and make my concepts clear about the algorithms, so i should end up choosing the most suitable one. I am sure your input would be fruitful for me in effectively drafting my proposal. The listnet looks like computationally more complex compared to ranknet. So , is there any big advantage (in terms of improvement in ndcg/map) to move to listnet AND the optimization suggested in the paper to look for top one seems too simple. What will be the impact on accuracy and is there any way to speed u...

...r and checking its evaluation results against the already generated values. - Implementing evaluation methods. Those methods will include MAP and NDCG. (*Is there any other method in particular that can be implemented other than these two?*) - Check the performance of ListMLE and ListNet against SVMRanker.(*Considering both ListMLE and ListNet has been implemented correctly but we don't have any tested performance measurement of these two algorithms*. *Therefore I want to know what should be course of action for this?*) - Implementing Rank aggregator. I've rea...

Dear Sir, I am Pankaj Singhal from Jaipur, India. I am very much interested and strongly looking forward in getting involved in this project Learning-to-Rank. My previous experience in this field is good. Last semester I did a similar job of ranking the URLs of the given huge dataset based on their attribute values. The dataset consisted hundreds of thousands of URLs and each url

...code? For several files such as ranker.cc, evalmetric.cc, there is no implementations of functions, I don't know if they have been implemented somewhere in the module(as far as I read through the source code, I didn't see any). For the tests, are there any benchmark tests on SVM based or listnet models on sample datasets and what the NDCG or MAP scores of them ( I didn't see any measure methods have been implemented in the current module)? And how about the cross validation for the training set? Is there any method included in the current project? For SVM method, I found letor_learn_m...

Hello Rishabh, The attached diff file should help you to refactor the existing letor code and plug in your code easily. I have defined the header files with the necessary flow. I have also specified the ranker class, which should be implemented by a new LTR models, ListNet and ListMLE in your case. The evaluation file should be used for validating the performance of the algorithm in the training so which you plan to implement. You should take the corresponding definitions from the letor_internal.cc and create the corresponding .cc files. Feel free to do necessary cha...

Hi everyone, My name is Shreedhar Pawar. I have already introduced myself on Xapian-discuss... I feel that the Xapian Search/Letor Algorithm, can speed up using Parallel computing. Techniques like Map-reduce, 'compact n split', radix sort, scan, parallel hashing n much more can be used to speed up the learning algorithms as well as the search... support vector machines in the Letor

...me refactoring in order to incorporate more algorithms and was done by Rishabh and available in his git repo (https://github.com/rishabhmehrotra/xapian) but is still not merged. So, I assume I should think of additions to the code in Rishbh's repo. Moreover, I noticed that SVM-rank, ListMLE and ListNet is already present in the code. I am interested in addition of a random forest approach and looking for appropriate libraries. I would be great to get input by the Xapian community in terms of preference of algorithms and open source libraries. It would also be great to know the priority of the Let...

Hello, I am Mudit Raj Gupta, fourth year student of M.S. (Hons.) Chemistry and B.E. (Hons.) Electronics and Instrumentation at BITS-Pilani ( http://www.bits-pilani.ac.in/). I am interested in *Machine Learning and Computaional Intelligence*. I have an interest in implementing various existing algorithms and developing modified/new algorithms related to machine learning and computational

Dear all, My name is Hanxiao Sun and I am a master student in the University of Chinese Academy of Sciences. I am so glad to be selected by Xapian as the GSoC student. This is my first time to work with open source community. I hope I can do a good job with you in this summer ! In my proposal, I followed the scope of the LTR project on the ideas page. But, after the interview, it seems to need

...basically uses the libsvm library and training data to train a model, then save the model file. The ranking part will calculate score for each document in searching results (MSet) by using the trained model file. My question is for each of our three rankers: 1) SVMRanker 2) ListMLE 3) ListNet, do we need three different types of training part? (The ranking part for each of those have the same form I think) I?m not sure the parameters for these three different rankers are the same or not (I guess they?re different). In my understanding, the letor.cc basically just pass parame...

I've rebased these patches to ensure they're up to date.

This patch set supercedes the previous set, and incorporates feedback from jboggs. There is a known issue in configuring volumes on an iSCSI pool that makes them unsupported at the moment. This code functions identical to virt-manager in that regard.

This patch provides the ability to create a "dir" type storage pool, and to add and remove volumes for existing pools.

This set of patches needed some reworking since they would not apply on top of next. They are ready for review and to be pushed.

...\ + nodeadmin/definenet.py \ nodeadmin/destroydomain.py \ nodeadmin/destroynetwork.py \ + nodeadmin/domainconfig.py \ nodeadmin/halworker.py \ nodeadmin/libvirtworker.py \ - nodeadmin/userworker.py \ + nodeadmin/listdomains.py \ + nodeadmin/listnetworks.py \ + nodeadmin/listpools.py \ nodeadmin/mainmenu.py \ nodeadmin/menuscreen.py \ nodeadmin/netmenu.py \ - nodeadmin/nodemenu.py \ - nodeadmin/undefinedomain.py \ - nodeadmin/undefinenetwork.py \ - nodeadmin/createdomain.py \ - no...

This pair of patches provide a new storage admin interface. Then, on top of that, it refactors the domain administration pieces to now properly use storage pools and volumes when defining a new VM.

...reatedomain.py | 3 - nodeadmin/createnetwork.py | 52 +++++++++ nodeadmin/definenet.py | 255 ++++++++++++++++++++++++++++++++++++++++++ nodeadmin/destroynetwork.py | 56 +++++++++ nodeadmin/halworker.py | 8 ++ nodeadmin/libvirtworker.py | 61 ++++++++++ nodeadmin/listnetworks.py | 55 +++++++++ nodeadmin/mainmenu.py | 71 ++++-------- nodeadmin/menuscreen.py | 57 ++++++++++ nodeadmin/netmenu.py | 58 ++++++++++ nodeadmin/networkconfig.py | 99 ++++++++++++++++ nodeadmin/nodemenu.py | 63 +++++++++++ nodeadmin/setup.py.in...

This set of patches supercedes the previous set, and has been rebased with changes from upstream.

This patch again rebases on upstream and should apply on next as of right now.

Main reason for refactor is no ovirt-node-image binary image allowed in fedora. Moves tools and kickstart files form ovirt-node-image to subpackage ovirt-node-recipe. Removes old sub packages form ovirt-node, stateless, logos, selinux. Modifies init scripts to meet Fedora packaging guidelines: added status, reload, and lockfile, rhbz: 514221 Added License file.