bayesian-networks

Is the are java alternative to Bayesian Belief Network framework - Infer.NET? Preferable if it be scalable(online learning for large datasets), well-supported(last updated since 2010) and open source and easy to write network structure. So all features from Infer.NET. Listing here two Bayesian Network Classifiers projects that I am aware of: CI Bayes - active, last release is 2.0, released on 6th of Oct 2010 and available from their Maven2 repository jBNC - inactive for several years, listing it here just for completeness sake. I'm not sure how they compare to Infer.NET, so you better make

I have a Bayes net (DAG) model which I created using pymc 2.3. All the variables in it are Bernoulli random variables. When I call the MAP.fit() method on it before sampling I get the following warning for all of my random variables: value is neither numerical nor array with floating-point dtype. Recommend fitting method fmin (default) From the github repo of pymc, it seems that this warning is printed if the underlying type of the stochastic variable is not a float. For Bernoulli RV the type is (and should be) bool. Does this mean that the MAP step will have unstable results? 来源： https:/

I am trying to customize a plot of a graph learned with bnlearn using RGraphviz . When I have undirected edges, RGraphviz turns them into directed edges to both directions when I try to customize the appearance of the graph. A reproducible example could be: set.seed(1) x1 = rnorm(50, 0, 1) x2 = rnorm(50, 0, 1) x3 = x2 + rnorm(50, 0, 1) x4 = -2*x1 + x3 + rnorm(50, 0, 1) graph = data.frame(x1, x2, x3, x4) library(bnlearn) library(Rgraphviz) res = gs(graph) options(repr.plot.width=3, repr.plot.height=3) g1 <- graphviz.plot(res) Graph not customized: So far so good. But if I try to customize it:

Is there any c or java example implementing Bayesian Net ? I want to solve some things but Do not where to start?. I have been using JavaBayes with great success for my master thesis final project. Check it out under http://www.cs.cmu.edu/~javabayes/ It has a great set of examples, very decent documentation, a graphical designer and very useful API. I remember I did a little research regarding available Bayesian Networks implementations in Java and I was pleasantly surprised when I found this library. I can strongly recommend it. Use Weka . It not only implements Bayes Nets, but also a lot of

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

I'm searching for the most appropriate tool for python3.x on Windows to create a Bayesian Network, learn its parameters from data and perform the inference. The network structure I want to define myself as follows: It is taken from this paper. All the variables are discrete (and can take only 2 possible states) except "Size" and "GraspPose", which are continuous and should be modeled as Mixture of Gaussians. Authors use Expectation-Maximization algorithm to learn the parameters for conditional probability tables and Junction-Tree algorithm to compute the exact inference. As I understand all is