Batch Likelihood

For each record of the database or in the associated evidence scenario file, the nodes are observed to the value of the record (except for the nodes declared as not observable and for those where the value is missing). The joint probability of these evidences is computed with the Bayesian network. Then the likelihood of this joint probability compared to the joint probability of the unconnected network is computed.

The results are stored in an exploitation file that takes the selected fields of the input file and associates, for each state of each not observable node, the computed probability.

If the data source is an external database, the fields of the input file that are included in the exploitation file are selected via the wizard illustrated below:

If the data source is the associated database, a dialog allows the user to choose on which part of the database (all, learning or test) the operation is done and which nodes will be saved in the destination file. It is also possible to choose if the state's long names are used and if the continuous values are saved:

The observations are done according to the cost of each node: if a node is not observable, it won't be observed even if there is a corresponding value in the associated database.