Python Linear_learner.fit_v_from_file 예제들

예제 #1

파일: learn_offline.py 프로젝트: abdelq/duckietown

def main(argv):
    try:
        opts, args = getopt.getopt(argv, "")
    except getopt.GetoptError:
        print 'Usage:\tlearn_offline.py <inputfile>'
        sys.exit(2)

    filename = args[0] if len(
        args) > 0 and not args[0] == "" else "./training_data.txt"
    if os.path.isfile(filename):
        print "Parsing file: {filename}".format(filename=filename)

        # Calculate the weights
        theta_dot_fi_function = 'Duty_fi_linear_no_constant'
        v_fi_function = 'Duty_fi_linear_no_constant'
        learner = Linear_learner(theta_dot_fi_function, v_fi_function)
        theta_dot_weights = learner.fit_theta_dot_from_file(filename)
        v_weights = learner.fit_v_from_file(filename)
        print "theta_dot_weights:\t[{weight1}, {weight2}]".format(
            weight1=theta_dot_weights[0, 0], weight2=theta_dot_weights[0, 1])
        print "v_weights:\t\t[{weight1}, {weight2}]".format(
            weight1=v_weights[0, 0], weight2=v_weights[0, 1])
    else:
        print "ERROR: {filename} not found.".format(filename=filename)
        sys.exit(2)

예제 #2

파일: test_linear_learner.py 프로젝트: ChuangWang-Zoox/Software

 def donot_test_linear_no_constant(self):
     theta_dot_fi_function = 'Duty_fi_linear_no_constant'
     v_fi_function = 'Duty_fi_linear_no_constant'
     learner = Linear_learner(theta_dot_fi_function, v_fi_function)
     rp = RosPack()
     filepath = rp.get_path('kinematics') + "/tests/test_training_set.txt"
     theta_dot_weights = learner.fit_theta_dot_from_file(filepath)
     v_weights = learner.fit_v_from_file(filepath)

예제 #3

    def test_linear_no_constant(self):
        theta_dot_fi_function = 'Duty_fi_linear_no_constant'
        v_fi_function = 'Duty_fi_linear_no_constant'
        learner = Linear_learner(theta_dot_fi_function, v_fi_function)
        rp = RosPack()
        filepath = rp.get_path('kinematics') + "/tests/test_training_set.txt"
        theta_dot_weights = learner.fit_theta_dot_from_file(filepath)
        v_weights = learner.fit_v_from_file(filepath)

        np.testing.assert_almost_equal(v_weights, np.matrix([1.0, 1.0]))
        np.testing.assert_almost_equal(theta_dot_weights, np.matrix([-1, 1]))

예제 #4

파일: learn_offline.py 프로젝트: ChuangWang-Zoox/Software

def main(argv):
    try:
        opts, args = getopt.getopt(argv,"")
    except getopt.GetoptError:
        print 'Usage:\tlearn_offline.py <inputfile>'
        sys.exit(2)

    filename = args[0] if len(args) > 0 and not args[0] == "" else "./training_data.txt"
    if os.path.isfile(filename):
        print "Parsing file: {filename}".format(filename=filename)

        # Calculate the weights
        theta_dot_fi_function = 'Duty_fi_linear_no_constant'
        v_fi_function = 'Duty_fi_linear_no_constant'
        learner = Linear_learner(theta_dot_fi_function, v_fi_function)
        theta_dot_weights = learner.fit_theta_dot_from_file(filename)
        v_weights = learner.fit_v_from_file(filename)
        print "theta_dot_weights:\t[{weight1}, {weight2}]".format(weight1=theta_dot_weights[0,0], weight2=theta_dot_weights[0,1])
        print "v_weights:\t\t[{weight1}, {weight2}]".format(weight1=v_weights[0,0], weight2=v_weights[0,1])
    else:
        print "ERROR: {filename} not found.".format(filename=filename)
        sys.exit(2)