BPt.CompareDict#

class BPt.CompareDict[source]#

This object is simmilar to a python dictionary, but is used to stored results from analyses run using Compare.

Methods

clear()

copy()

fromkeys(iterable[, value])

Create a new dictionary with keys from iterable and values set to value.

get(key[, default])

Return the value for key if key is in the dictionary, else default.

items()

keys()

pairwise_bayesian()

This method has not yet been implemented

pairwise_t_stats([metric])

This method performs pair-wise t-test comparisons between all different options, assuming this object holds instances of EvalResults.

pop(key[, default])

If key is not found, default is returned if given, otherwise KeyError is raised

popitem(/)

Remove and return a (key, value) pair as a 2-tuple.

setdefault(key[, default])

Insert key with a value of default if key is not in the dictionary.

summary(**kwargs)

Return a pandas DataFrame with summary information as broken down by all of the different original Compare options.

update([E, ]**F)

If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values()