bayesian

Any pointers to scheme/racket or clojure bayesian classification libraries? I need one for a toy/learning project that I'm going to do. dvogel For clojure there is Incanter. It's more than just a bayes library. It is more akin to R . The documentation has two sections about it's bayes capabilities: 1 , 2 . Weka is kind of classic. It is a Java lib, so it can be accessed from Clojure If you use Clojure, you have full access to Java libraries. Classifier4J seems to be a good fit, although development stopped several years ago. You should be able to find several more if you dig through

I'm trying to apply the Bayesian rating formula , but if I rate 1 out of 5 thousand of hundreds, the final rating is greater than 5. For example, a given item has no votes and after voting 170,000 times with 1 star, its final rating is 5.23. If I rate 100, it has a normal value. Here is what I have in PHP. <?php // these values came from DB $total_votes = 2936; // total of votes for all items $total_rating = 582.955; // sum of all ratings $total_items = 202; // now the specific item, it has no votes yet $this_num_votes = 0; $this_score = 0; $this_rating = 0; // simulating a lot of votes with 1

I'm trying to create a model using the MCMCglmm package in R. The data are structured as follows, where dyad, focal, other are all random effects, predict1-2 are predictor variables, and response 1-5 are outcome variables that capture # of observed behaviors of different subtypes: dyad focal other r present village resp1 resp2 resp3 resp4 resp5 1 10101 14302 0.5 3 1 0 0 4 0 5 2 10405 11301 0.0 5 0 0 0 1 0 1 … So a model with only one outcome (teaching) is as follows: prior_overdisp_i <- list(R=list(V=diag(2),nu=0.08,fix=2), G=list(G1=list(V=1,nu=0.08), G2=list(V=1,nu=0.08), G3=list(V=1,nu=0.08

I would like to implement a simple Bayesian classification system to do rudimentary sentiment analysis on short messages. Practical suggestions for implementing in Ruby would be welcome. Suggestions for other approaches besides Bayes would also be welcome. Ilya Grigorik has a nice answer to this problem over on this blog post on Bayesian Classifiers Additionally, you may wish to take a look at the ai4r rubygem for some alternates to Bayesian Classifiers. ID3 is a good choice because it gives a decision tree that is "understandable" to even someone without any real understanding of machine

In other answers at Stackoverflow it's been suggested that Weka is good, but there are others ( Classifier4j , jBNC , Naiban ). Does anyone have actual experience with these? Thomi Weka is awesome, but Classifier4J is probably closer to what you want, since it's more aimed at text recognition. You could also have a look at the still very new Apache Mahout project. Another new library is ci-bayes , nice and very simple to use. disclaimer: I have submitted a patches to this project and am currently a committer 来源： https://stackoverflow.com/questions/480683/whats-the-best-open-source-java

I am looking for a Python library which does Bayesian Spam Filtering. I looked at SpamBayes and OpenBayes, but both seem to be unmaintained (I might be wrong). Can anyone suggest a good Python (or Clojure, Common Lisp, even Ruby) library which implements Bayesian Spam Filtering? Thanks in advance. Clarification : I am actually looking for a Bayesian Spam Classifier and not necessarily a spam filter. I just want to train it using some data and later tell me whether some given data is spam. Sorry for any confusion. Do you want spam filtering or Bayesian classification? For Bayesian