Python BasicDistribution示例

示例#1

文件： test_conjugate.py 项目： yarden/distributions

def check_generate(name):
    check_cm(name)
    cm = ComponentModel(name)
    cm.realize_hp()
    params = cm.generate_post()
    b = BasicDistribution(name, pm=params)
    b.sample_data()

示例#2

文件： test_conjugate.py 项目： karunya/distributions

def check_generate(name):
    check_cm(name)
    cm = ComponentModel(name)
    cm.realize_hp()
    params = cm.generate_post()
    b = BasicDistribution(name, pm=params)
    b.sample_data()

示例#3

def check_data_prob(name):
    b = BasicDistribution(name)
    p = b.data_prob(b.sample_data())
    ok_(p >= 0.)

示例#4

def check_sample_N(name):
    b = BasicDistribution(name)
    x = b.sample_data(10)
    assert_equal(len(x), 10)

示例#5

def check_sample(name):
    b = BasicDistribution(name)
    b.sample_data()

示例#6

文件： test_basic.py 项目： karunya/distributions

def check_data_prob(name):
    b = BasicDistribution(name)
    p = b.data_prob(b.sample_data())
    ok_(p >= 0.)

示例#7

文件： test_basic.py 项目： karunya/distributions

def check_sample_N(name):
    b = BasicDistribution(name)
    x = b.sample_data(10)
    assert_equal(len(x), 10)

示例#8

文件： test_basic.py 项目： karunya/distributions

def check_sample(name):
    b = BasicDistribution(name)
    b.sample_data()