- build_xy_list(+X:list, +Y:list, -Out:list) is det
- Given to lists X and Y build an output list Out
in the form [X1-Y1,X2-Y2,...,XN-YN].
- r_row(+X:atom, +Y:atom, -Out:atom) is det
- Given two atoms X and Y, build the term
r(X,Y) in Out.
- get_set_from_xy_list(+L:list, -R:list) is det
- Given an input list L in the form [X1-Y1,X2-Y2,...,XN-YN], transform it in
an output list R in the form [
r(X1,Y1),r(X2,Y2),...,r(XN,YN)]. This means
that R will contain an X-Y relationship which can be then passed to an R
data frame.
- prob_bar_r(:Query:atom) is nondet
- The predicate computes and plots the probability of Query
as a bar chart with a bar for the probability of Query true and
a bar for the probability of Query false.
If Query is not ground, it returns in backtracking all ground
instantiations of Query together with their probabilities
- prob_bar_r(:Query:atom, :Evidence:atom) is nondet
- The predicate computes the probability of the Query given Evidence
as a bar chart with
a bar for the probability of Query true and a bar for the probability of
Query false given Evidence.
If Query /Evidence are not ground, it returns in backtracking all
ground instantiations of
Query/Evidence together with their probabilities
- mc_prob_bar_r(:Query:atom) is det
- See prob_bar.
- mc_sample_bar_r(:Query:atom, +Samples:int) is det
- The predicate samples Query a number of Samples times and
plots a bar chart with a bar for the number of successes and a bar for the
number of failures.
If Query is not ground, it considers it as an existential query.
- mc_sample_arg_bar_r(:Query:atom, +Samples:int, ?Arg:var) is det
- The predicate samples Query Samples times. Arg should be a variable
in Query.
The predicate plots a bar chart
with a bar for each possible value of L,
the list of values of Arg for which Query succeeds in
a world sampled at random.
The size of the bar is the number of samples
returning that list of values.
- mc_sample_arg_first_bar_r(:Query:atom, +Samples:int, ?Arg:var) is det
- The predicate samples Query Samples times. Arg should be a variable
in Query.
The predicate plots a bar chart
with a bar for each value of Arg returned as a first answer by Query in
a world sampled at random.
The size of the bar is the number of samples that returned that value.
The value is failure if the query fails.
- mc_rejection_sample_arg_bar_r(:Query:atom, :Evidence:atom, +Samples:int, ?Arg:var) is det
- The predicate calls mc_rejection_sample_arg/5 and builds an R graph
of the results.
It plots a bar chart with a bar for each possible value of L,
the list of values of Arg for which Query succeeds
given that Evidence is true
The size of the bar is the number of samples
returning that list of values.
- mc_mh_sample_arg_bar_r(:Query:atom, :Evidence:atom, +Samples:int, +Mix:int, +Lag:int, ?Arg:var) is det
- The predicate calls mc_mh_sample_arg/7 and builds an R graph
of the results.
The predicate plots a bar chart
with a bar for each possible value of L,
the list of values of Arg for which Query succeeds in
a world sampled at random.
The size of the bar is the number of samples
returning that list of values.
- mc_mh_sample_arg_bar_r(:Query:atom, :Evidence:atom, +Samples:int, +Lag:int, ?Arg:var) is det
- The predicate call mc_mh_sample_arg/6 and builds a R graph
of the results.
The predicate plots a bar chart
with a bar for each possible value of L,
the list of values of Arg for which Query succeeds in
a world sampled at random.
The size of the bar is the number of samples
returning that list of values.
- histogram_r(+List:list, +NBins:int) is det
- Draws a histogram of the samples in List dividing the domain in
NBins bins. List must be a list of couples of the form [V]-W or V-W
where V is a sampled value and W is its weight.
- density_r(+List:list) is det
- Display a smooth density estimate of a sets of samples.
The samples are in List
as couples V-W where V is a value and W its weigth.
- densities_r(+PriorList:list, +PostList:list) is det
- Display a smooth density estimate of two sets of samples, usually
prior and post observations. The samples from the prior are in PriorList
while the samples from the posterior are in PostList
as couples V-W where V is a value and W its weigth.
- compute_areas_diagrams_r(+LG:list, -AUCROC:float, -AUCPR:float) is det
- The predicate takes as input
a list LG of pairs probability-literal in asceding order on probability
where the literal can be an Atom (incading a positive example) or \+ Atom,
indicating a negative example while the probability is the probability of
Atom of being true.
The predicate returns
AUCROC: the size of the area under the ROC curve
AUCPR: the size of the area under the PR curve
PR and ROC diagrams are plotted.
See http://cplint.lamping.unife.it/example/exauc.pl for an example
- test_r(+P:probabilistic_program, +TestFolds:list_of_atoms, -LL:float, -AUCROC:float, -AUCPR:float) is det
- The predicate takes as input in P a probabilistic program,
tests P on the folds indicated in TestFolds and returns the
log likelihood of the test examples in LL, the area under the Receiver
Operating Characteristic curve in AUCROC, the area under the Precision Recall
curve in AUCPR and draws R diagrams of the curves.
