belief-propagation

Function restriction by fixing an argument

纵饮孤独 提交于 2020-01-13 11:45:10
问题 How should I make function with lesser dimensionality than the original one by fixing an argument of it: For example I want to make successor function out of sum function as follows: def add(x,y): return x+y Now I am looking for something like this: g=f(~,1) which would be the successor function, i.e. g(x)=x+1 . 回答1: You can write your own function: def g(y): return f(2, y) Or more concisely: g = lambda y: f(2, y) There's also functools.partial : import functools def f(x, y): return x + y g =

Is there a java alternative to the Bayesian Belief Network Framework “Infer.NET”?

允我心安 提交于 2019-12-22 05:54:10
问题 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. 回答1: 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,

Is there a java alternative to the Bayesian Belief Network Framework “Infer.NET”?

不想你离开。 提交于 2019-12-05 10:08:55
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