Dependence among outputs and output errors |
Classes for evaluating the dependence of output and output errors of multi input multi ouptut (MIMO) learning machines
![]() | Class for evaluating mutual information between two random variables Random variables are discretized dividing their range values in bins. |
![]() | Class for evaluating the correlation between two random variables representing errors Random variables are discretized dividing their range values in bins. |
![]() | Class for building mutual information among all the couples of a set of random variables This class builds matrices of mutual information, joint entropy, and mutual information error (if the random variables represent errors). |
![]() | Suffix of the output file of errors |
![]() | Class for generating error files of the outputs of the ecoc nets It reads files out of the outputs of an ECOC-MLP or file pout od the PND and outputs the error file computing the absolute error between the outputs of the net and the correct output. |
Classes for evaluating the dependence of output and output errors of multi input multi ouptut (MIMO) learning machines
Alphabetic index Hierarchy of classes