def generate_lhs_flrs(self, data):
flrs = []
lags = {}
for vc, var in enumerate(self.explanatory_variables):
data_point = data[var.name]
lags[var.name] = common.fuzzyfy_instance(data_point, var, tuples=False)
for path in product_dict(**lags):
flr = MVFLR.FLR()
for var, fset in path.items():
flr.set_lhs(var, fset)
if len(flr.LHS.keys()) == len(self.explanatory_variables):
flrs.append(flr)
else:
print(flr)
return flrs
def generate_lhs_flrs(self, data):
flrs = []
lags = {}
for vc, var in enumerate(self.explanatory_variables):
data_point = data[var.data_label]
lags[vc] = common.fuzzyfy_instance(data_point, var)
root = tree.FLRGTreeNode(None)
tree.build_tree_without_order(root, lags, 0)
for p in root.paths():
path = list(reversed(list(filter(None.__ne__, p))))
flr = MVFLR.FLR()
for v, s in path:
flr.set_lhs(v, s)
if len(flr.LHS.keys()) == len(self.explanatory_variables):
flrs.append(flr)
return flrs