def sample(self, n=None):
"""Return a multivariate normal sample."""
if n is None:
snsamps = random.standard_normal(self.ndim)
return _mvnt.mvnsamp(self.mu, self.L, snsamps)
samps = zeros((n, self.ndim), float)
for i in range(n):
snsamps = random.standard_normal(self.ndim)
samps[i] = _mvnt.mvnsamp(self.mu, self.L, snsamps)
return samps
def sample(self, n=None):
"""Return a multivariate normal sample."""
if n is None:
snsamps = random.standard_normal(self.ndim)
return _mvnt.mvnsamp(self.mu, self.L, snsamps)
samps = zeros((n, self.ndim), float)
for i in range(n):
snsamps = random.standard_normal(self.ndim)
samps[i] = _mvnt.mvnsamp(self.mu, self.L, snsamps)
return samps
def sample(self, n=None):
"""
Return one or more samples from the KDE.
Randomly choose a component, then return a scaled MVN sample from
that component.
"""
if n == None:
n = self.randint.rvs()
snsamps = random.standard_normal(self.ndim)
displ = _mvnt.mvnsamp(self.origin, self.L, snsamps)
return self.nodes[n] + self.scale * displ
samps = zeros((n, self.ndim), float)
for i in range(n):
n = self.randint.rvs()
snsamps = random.standard_normal(self.ndim)
displ = _mvnt.mvnsamp(self.origin, self.L, snsamps)
samps[i] = self.nodes[n] + self.scale * displ
return samps
def sample(self, n=None):
"""
Return one or more samples from the KDE.
Randomly choose a component, then return a scaled MVN sample from
that component.
"""
if n == None:
n = self.randint.rvs()
snsamps = random.standard_normal(self.ndim)
displ = _mvnt.mvnsamp(self.origin, self.L, snsamps)
return self.nodes[n] + self.scale*displ
samps = zeros((n, self.ndim), float)
for i in range(n):
n = self.randint.rvs()
snsamps = random.standard_normal(self.ndim)
displ = _mvnt.mvnsamp(self.origin, self.L, snsamps)
samps[i] = self.nodes[n] + self.scale*displ
return samps
