Hi Marco Thanks for your quick response
>-----Original Message----- >From: Marco Scutari [mailto:marco.scut...@gmail.com] >Sent: Monday, 29 February 2016 8:24 PM >To: ross.chap...@ecogeonomix.com >Cc: r-help <r-help@r-project.org> >Subject: Re: [R] bnlearn and TAN network > >Hi Ross, > >On 29 February 2016 at 08:46, <ross.chap...@ecogeonomix.com> wrote: >> The graph shows arcs between each of the variables and the output node >> (classFFB) along with internal nodes showing parent/child relations >> between >> 4 nodes. > >Yes, that is as expected. > >> However, when I look at the model in the TAN object and the > >conditional probabilities in the fitted object, there is only one >> direct arc leading to output node (classFFB) through a variable EST, >> all other relations act through that arc. > >I am not sure how that could possibly happen, could you share the print outut >for a few nodes so that I can get some idea of what it is going on? When I look at the model in Tan I get this output: > TAN Bayesian network Classifier model: [classFFB][matureTreeData.ESTATE|classFFB][matureTreeData.YEAR|classFFB:matureTreeData.ESTATE][matureTreeData.SMG|classFFB:matureTreeData.ESTATE] [classNPKMg3YW_IN|classFFB:matureTreeData.YEAR][classHarvIntensity|classFFB:matureTreeData.YEAR] nodes: 6 arcs: 9 undirected arcs: 0 directed arcs: 9 average markov blanket size: 3.00 average neighbourhood size: 3.00 average branching factor: 1.50 learning algorithm: TAN Bayes Classifier mutual information estimator: Maximum Likelihood (disc.) training node: classFFB tests used in the learning procedure: 10 The output node is classFFB. My understanding is that the model only has one node linked directly to the output node: ][matureTreeData.ESTATE|classFFB]. Have I missed something here? > >> Am I correct in interpreting that the all direct nodes except for >> EST->classFFB which are shown in the graphviz.plot are not retained >> EST->once the >> model is trained. In which case, is there a way of showing the network >> after training? >TAN does not do any sort of feature selection, so all the nodes should be >there. As for "showing the network after training", what kind of plot are you >looking for? I was looking for a plot which shows the learned network, an example of which I have attached. >Cheers, > Marco
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