def test_masked_cost(): graph = OrderedDict() X_sym, y_sym = add_datasets_to_graph([X, y], ["X", "y"], graph) cost = gaussian_error(.5 * X_sym, .5 * X_sym, X_sym) masked = masked_cost(X_sym, y_sym) theano.function([X_sym, y_sym], [cost, masked], mode="FAST_COMPILE")
def test_gaussian_error(): graph = OrderedDict() X_sym = add_datasets_to_graph([X], ["X"], graph) cost = gaussian_error(.5 * X_sym, (.5 * X_sym + .001) ** 2, X_sym) theano.function([X_sym], cost, mode="FAST_COMPILE")
def test_masked_cost(): cost = gaussian_error(.5 * X_sym, .5 * X_sym, X_sym) masked = masked_cost(X_sym, y_sym) theano.function([X_sym, y_sym], [cost, masked], mode="FAST_COMPILE")
def test_gaussian_error(): cost = gaussian_error(.5 * X_sym, (.5 * X_sym + .001) ** 2, X_sym) theano.function([X_sym], cost, mode="FAST_COMPILE")
def test_gaussian_error(): cost = gaussian_error(.5 * X_sym, (.5 * X_sym + .001)**2, X_sym) theano.function([X_sym], cost, mode="FAST_COMPILE")