def test_weighted_additive(self):
self.m12 = DenseMatrix(np.mat([[3,1],[9,2]]))
self.m22 = DenseMatrix(np.mat([[4,3],[2,1]]))
self.ph2 = DenseMatrix(np.mat([[18,11],[24,7]]))
self.row = ["a", "b"]
self.ft = ["f1","f2"]
self.space1 = Space(DenseMatrix(self.m12), self.row, self.ft)
self.space2 = Space(DenseMatrix(self.ph2), ["a_a","a_b"], self.ft)
m = WeightedAdditive()
m.export(self.prefix + ".add1")
m.train([("a","a","a_a")], self.space1, self.space2)
m.export(self.prefix + ".add2")
def test_weighted_additive(self):
self.m12 = DenseMatrix(np.mat([[3, 1], [9, 2]]))
self.m22 = DenseMatrix(np.mat([[4, 3], [2, 1]]))
self.ph2 = DenseMatrix(np.mat([[18, 11], [24, 7]]))
self.row = ["a", "b"]
self.ft = ["f1", "f2"]
self.space1 = Space(DenseMatrix(self.m12), self.row, self.ft)
self.space2 = Space(DenseMatrix(self.ph2), ["a_a", "a_b"], self.ft)
m = WeightedAdditive()
m.export(self.prefix + ".add1")
m.train([("a", "a", "a_a")], self.space1, self.space2)
m.export(self.prefix + ".add2")
#ex11.py
#-------
from composes.utils import io_utils
from composes.composition.weighted_additive import WeightedAdditive
# instantiate a weighted additive model
my_comp = WeightedAdditive(alpha = 1, beta = 1)
#save it to pickle
io_utils.save(my_comp, "./data/out/model01.pkl")
#print its parameters
my_comp.export("./data/out/model01.params")
