def test_basic(self):
tracer = VizTracer()
tracer.start()
counter = VizCounter(tracer, "name")
counter.a = 1
counter.b = 2
tracer.stop()
entries = tracer.parse()
self.assertEqual(entries, 2)
def test_notracer(self):
counter = VizCounter(None, "name")
counter.a = 1
counter.b = 2
a = Hello(None, "name")
a.b = 1
a.c = 2
a.d = 3
a.log()
def test_exception(self):
tracer = VizTracer()
tracer.start()
counter = VizCounter(tracer, "name")
with self.assertRaises(Exception) as _:
counter.a = ""
with self.assertRaises(Exception) as _:
counter.b = {}
with self.assertRaises(Exception) as _:
counter.c = []
tracer.stop()
tracer.clear()
err = 0
for i in range(0, len(parameter_vector)):
cost_derivative = get_cost_derivative(i - 1)
err += abs(cost_derivative)
temp_parameter_vector[i] = (
parameter_vector[i] - LEARNING_RATE * cost_derivative
)
counter.cost = math.log(1+err)
if numpy.allclose(
parameter_vector,
temp_parameter_vector,
atol=absolute_error_limit,
rtol=relative_error_limit,
):
break
parameter_vector = temp_parameter_vector
print(("Number of iterations:", j))
def test_gradient_descent():
for i in range(len(test_data)):
print(("Actual output value:", output(i, "test")))
print(("Hypothesis output:", calculate_hypothesis_value(i, "test")))
if __name__ == "__main__":
with VizTracer(log_print=True, output_file=os.path.join(os.path.dirname(__file__), "../", "json/gradient_descent.json")) as tracer:
counter = VizCounter(tracer, "log(1 + cost)")
run_gradient_descent()
test_gradient_descent()
def g(a, b):
a += h(a)
b += 3
# raise Exception("lol")
def f(a, b):
# wthell.wth()
a = a + 2
ob.s = str(b)
g(a + 1, b * 2)
# wthell.wth()
h(36)
def t(a):
f(a + 1, a + 2)
a += 3
f(a + 5, 2)
tracer = VizTracer()
counter = VizCounter(tracer, "a")
ob = VizObject(tracer, "b")
tracer.start()
t(3)
tracer.stop()
tracer.save("vdb_basic.json")