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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
RandomGenerator.SetSeed(0)
try:
distribution = Beta(0.2, 0.6, -1.0, 2.0)
size = 10000
sample = distribution.getSample(size)
factory = BetaFactory()
estimatedDistribution = factory.build(sample)
print("distribution=", repr(distribution))
print("Estimated distribution=", repr(estimatedDistribution))
distribution = Beta(0.5, 1.3, -1.0, 2.0)
sample = distribution.getSample(size)
estimatedDistribution = factory.build(sample)
print("distribution=", repr(distribution))
print("Estimated distribution=", repr(estimatedDistribution))
distribution = Beta(0.5, 2.3, -1.0, 2.0)
sample = distribution.getSample(size)
estimatedDistribution = factory.build(sample)
print("distribution=", repr(distribution))
print("Estimated distribution=", repr(estimatedDistribution))
distribution = Beta(1.5, 4.3, -1.0, 2.0)
sample = distribution.getSample(size)
estimatedDistribution = factory.build(sample)
print("distribution=", repr(distribution))
print("Estimated distribution=", repr(estimatedDistribution))
estimatedDistribution = factory.build()
print("Default distribution=", estimatedDistribution)
estimatedDistribution = factory.build(
distribution.getParameter())
print("Distribution from parameters=", estimatedDistribution)
estimatedBeta = factory.buildAsBeta(sample)
print("Beta =", distribution)
print("Estimated Beta=", estimatedBeta)
estimatedBeta = factory.buildAsBeta()
print("Default Beta=", estimatedBeta)
estimatedBeta = factory.buildAsBeta(distribution.getParameter())
print("Beta from parameters=", estimatedBeta)
sample = [[0.0]]*size
estimatedDistribution = factory.build(sample)
print("Estimated distribution=", repr(estimatedDistribution))
sample = [[1.0]]*size
estimatedDistribution = factory.build(sample)
print("Estimated distribution=", repr(estimatedDistribution))
except:
import sys
print("t_BetaFactory_std.py", sys.exc_info()[0], sys.exc_info()[1])
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