search for: featurevector

...request various statistics, and > the Enquire process then makes them available. So we can do it in a > similar way (Feature declares that it needs tf and doclen, for > instance, and FeatureManager can make sure they're available to the > Feature when it's building a FeatureVector for a given document). Yes. Features can get their own subdirectory with each Feature subclass having its own implementation. We can have FeatureManager do all the feature handling corresponding to a query. FeatureManager can have vector<Features*> FeatureList, which initialises each Featur...

Hello James, Parth, Following our discussion on IRC and on code review, the way FeatureVector class works needs some discussion. Presently, the FeatureVector class is defined as follows, with a fixed number of feature count (19): class FeatureVector::Internal : public Xapian::Internal::intrusive_base{ friend class FeatureVector; double label; double score; std::map<int,...

Hello everyone, I have completed introducing some code from v-hasu's branch into mine, mainly for Features, FeatureVector and FeatureManager classes. I have pushed the changes to https://github.com/ayshtmr/xapian/tree/letor-update. I am now proceeding to write unit tests for feature modules. There are a few things that I wanted to clarify: 1. I have introduced a lot of code in a single commit ( https://github.com/ay...

...I plan to do in coming few days: 1. Revise the timeline. There are some portions that I had kept for the first and second week of coding which have already been done (except writing tests). So, I'd like to adjust the timeline according to it. 2. Ensuring that features (mainly FeatureManager, FeatureVector and Features classes) are stable and no code is left that is to be introduced from v-hasu's branch into mine. Once done, proceed to write tests for this portion. 3. Discussion about which dataset to use. Regards, Ayush -------------- next part -------------- An HTML attachment was scrubbed......

Hi Rishabh, I think its better not to expose RankiList to Letor.h and make it better user friendly. So my suggestion is to convert RankList to the following statement in this method. std::map<Xapian::docid, double> letor_score(const Xapian::MSet & mset); So just convert the RankList in std::map<Xapian::docid, double> format in the methods where you need to return. Parth. On

...normalized one and unnormalized one. Since it?s in MSet::Internal, there is a wrapper class outside it I think. So it also needs to provide corresponding APIs in that wrapper class. Also, the ranker will use MSet instead of RankList. Do you have any suggestions for this part? 4. For FeatureVector, I think it could be discarded since it just stores the information of feature vector of each document, those information will be stored in the new class in MSet::Internal mentioned in 3. 5. For Feature (letor_feature.cc), I think it could be a static class. It mainly focuses on the ca...

...l changeLabel html check_features_targets html check_target_pred html coef.IntervalRegression html demo8 html featureMatrix html featureVector html geom_tallrect html labelError html largestContinuousMinimumC html largestContinuousMinimumR html modelSelection html modelSelectionC...

...l changeLabel html check_features_targets html check_target_pred html coef.IntervalRegression html demo8 html featureMatrix html featureVector html geom_tallrect html labelError html largestContinuousMinimumC html largestContinuousMinimumR html modelSelection html modelSelectionC...

...html > check_features_targets html > check_target_pred html > coef.IntervalRegression html > demo8 html > featureMatrix html > featureVector html > geom_tallrect html > labelError html > largestContinuousMinimumC html > largestContinuousMinimumR html > modelSelection...

...check_features_targets html > > check_target_pred html > > coef.IntervalRegression html > > demo8 html > > featureMatrix html > > featureVector html > > geom_tallrect html > > labelError html > > largestContinuousMinimumC html > > largestContinuousMinimumR html > > modelSelectio...

...html > check_features_targets html > check_target_pred html > coef.IntervalRegression html > demo8 html > featureMatrix html > featureVector html > geom_tallrect html > labelError html > largestContinuousMinimumC html > largestContinuousMinimumR html > modelSelection htm...