Python gaussian_error Examples

Example #1

File: test_penalties.py Project: dribnet/dagbldr

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")

Example #2

File: test_penalties.py Project: dribnet/dagbldr

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")

Example #3

File: test_penalties.py Project: kastnerkyle/dagbldr

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")

Example #4

File: test_penalties.py Project: kastnerkyle/dagbldr

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")

Example #5

File: test_penalties.py Project: hdubey/dagbldr

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")

Example #6

File: test_penalties.py Project: hdubey/dagbldr

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")