accuracy | Compute predictive accuracy. |
basGen | Generate a valid probability table for attribute Xa |
car | Car Evaluation Data Set. |
DE | Discriminative parameter learning of bayesian networks by... |
DEbest | Discriminative parameter learning of BN by DE variant... |
DErand | Discriminative parameter learning of BN by DE variant... |
dplbnDE | Discriminative Parameter Learning of Bayesian Networks by... |
get_family | Retrieve Families for a Given Node in Bayesian Network |
getPBest | JADE uses a mutation strategy called ”DE/current-to- p best”... |
individual | Generates an individual (potential solution) |
jade | Discriminative parameter learning of BN by JADE. |
keepSum | Repair to keep the sum of row vectors equal to 1 over a... |
lev2 | Repair to keep the sum of row vectors equal to 1 In a two... |
lev3 | Repair to keep the sum of row vectors equal to 1 In a three... |
lshade | Discriminative parameter learning of BN by L-SHADE. |
meanL | Parameter adaptation as in JADE Lehmer mean |
meanWL | Parameter adaptation as in JADE |
parGen | Generate a valid conditional probability table for attribute... |
plot.DE | Plot main results of evolution |
population | Generates a population of potential solutions |
print.DE | Print main results of evolution |
randC | Parameter adaptation as in JADE Cauchy distribution |
randN | Parameter adaptation as in JADE Normal distribution |
reflect | Reparation to satisfy the constraints for (theta_{a, b}) in... |
strRep | Repair to keep the sum of row vectors equal to 1 Gives BN... |
vec | Transform a matrix into a vector |
vec2net | Replace a vector of parameters in a CPT |
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