def generate_indexed_flrs(sets,
indexer,
data,
transformation=None,
alpha_cut=0.0):
"""
Create a season-indexed ordered FLR set from a list of fuzzy sets with recurrence
:param sets: fuzzy sets
:param indexer: seasonality indexer
:param data: original data
:return: ordered list of FLR
"""
flrs = []
index = indexer.get_season_of_data(data)
ndata = indexer.get_data(data)
if transformation is not None:
ndata = transformation.apply(ndata)
for k in np.arange(1, len(ndata)):
lhs = FuzzySet.fuzzyfy_series([ndata[k - 1]],
sets,
method='fuzzy',
alpha_cut=alpha_cut)
rhs = FuzzySet.fuzzyfy_series([ndata[k]],
sets,
method='fuzzy',
alpha_cut=alpha_cut)
season = index[k]
for _l in np.array(lhs).flatten():
for _r in np.array(rhs).flatten():
flr = IndexedFLR(season, _l, _r)
flrs.append(flr)
return flrs
def train(self, ndata, **kwargs):
tmpdata = FuzzySet.fuzzyfy_series(ndata, self.sets, method='maximum')
flrs = FLR.generate_recurrent_flrs(tmpdata)
self.generate_flrg(flrs)
def train(self, data, **kwargs):
tmpdata = FuzzySet.fuzzyfy_series(data, self.sets, method='maximum')
flrs = FLR.generate_non_recurrent_flrs(tmpdata)
self.operation_matrix(flrs)
