def generate_flrs(self, data):
flrs = []
for ct in range(1, len(data.index)):
ix = data.index[ct-1]
data_point = data.loc[ix]
tmp_flrs = self.generate_lhs_flrs(data_point)
target_ix = data.index[ct]
target_point = data[self.target_variable.data_label][target_ix]
target = common.fuzzyfy_instance(target_point, self.target_variable)
for flr in tmp_flrs:
for v, s in target:
flr.set_rhs(s)
flrs.append(flr)
return flrs
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