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Plotting functions modified
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2 changed files with 13 additions and 58 deletions
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@ -3,7 +3,6 @@
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import numpy as np
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import pylab as pb
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from scipy.special import gammaln, digamma
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from ...util.linalg import pdinv
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from domains import _REAL, _POSITIVE
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@ -12,16 +11,14 @@ import weakref
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class Prior:
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domain = None
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def pdf(self, x):
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return np.exp(self.lnpdf(x))
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def plot(self):
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rvs = self.rvs(1000)
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pb.hist(rvs, 100, normed=True)
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xmin, xmax = pb.xlim()
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xx = np.linspace(xmin, xmax, 1000)
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pb.plot(xx, self.pdf(xx), 'r', linewidth=2)
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assert "matplotlib" in sys.modules, "matplotlib package has not been imported."
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from ..plotting.matplot_dep import priors_plots
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priors_plots.univariate_plot(self)
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class Gaussian(Prior):
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@ -153,16 +150,9 @@ class MultivariateGaussian:
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return np.random.multivariate_normal(self.mu, self.var, n)
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def plot(self):
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if self.input_dim == 2:
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rvs = self.rvs(200)
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pb.plot(rvs[:, 0], rvs[:, 1], 'kx', mew=1.5)
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xmin, xmax = pb.xlim()
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ymin, ymax = pb.ylim()
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xx, yy = np.mgrid[xmin:xmax:100j, ymin:ymax:100j]
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xflat = np.vstack((xx.flatten(), yy.flatten())).T
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zz = self.pdf(xflat).reshape(100, 100)
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pb.contour(xx, yy, zz, linewidths=2)
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assert "matplotlib" in sys.modules, "matplotlib package has not been imported."
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from ..plotting.matplot_dep import priors_plots
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priors_plots.multivariate_plot(self)
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def gamma_from_EV(E, V):
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warnings.warn("use Gamma.from_EV to create Gamma Prior", FutureWarning)
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