log_prob_adaptive: An auxiliary function to mml_fixed_str()
In kelvinyangli/mbmml: Learn Markov blankets using Minimum Message Length

This function calculates log of the conditional probability for a variable given its parents. It is used to obtain p(x|pa of x) in the numerator of the conditional prob p(T|Xs).

1	log_prob_adaptive(data, targetIndex, condProbsAdpt)

`data`	A dataset whost variables are in numeric/integer format. Any categorical variables must be converted into numeric/integer first.
`targetIndex`	The target node's index in vars, whose Markov blanket we are interested in.
`condProbsAdpt`	A conditional probabilities matrix that stores a variable's conditional probability at each data point. This variable is either the target, or has more than one parent.