def test_EMGMM(N=5,**keywards):
from pyvb.emgmm import EMGMM
X = testData(10000)
model = EMGMM(N)
model.fit(X)
model.showModel()
print(model.score(X))
def test_DPGMM(N=5, **keywards):
from pyvb.dpgmm import DPGMM
X = testData(10000)
model = DPGMM(N)
model.fit(X)
model.plot2d(X)
def test_VBGMM(N=5, **keywards):
from pyvb.vbgmm import VBGMM
X = testData(10000)
model = VBGMM(N)
model.fit(X)
model.plot2d(X)
def test_EMGMM(N=5, **keywards):
from pyvb.emgmm import EMGMM
X = testData(10000)
model = EMGMM(N)
model.fit(X)
model.showModel()
print model.score(X)
def test_DPGMM(N=5, **keywards):
from pyvb.dpgmm import DPGMM
X = testData(10000)
model = DPGMM(N)
model.fit(X)
model.plot2d(X)
def test_VBGMM(N=5, **keywards):
from pyvb.vbgmm import VBGMM
X = testData(10000)
model = VBGMM(N)
model.fit(X)
model.plot2d(X)
