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- Probability.Affine(Probability.Probability)
-
- Gaussian
- Probability.Probability
-
- StdGaussian
class Gaussian(Probability.Affine) |
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- Method resolution order:
- Gaussian
- Probability.Affine
- Probability.Probability
Methods defined here:
- __init__(self, xMu=0.0, xSigma=1.0)
- __repr__(self)
Methods inherited from Probability.Affine:
- Affine(self, xZ)
- Density(self, x)
- Distribution(self, x)
- InverseDistribution(self, y)
- Sample(self)
- Standardize(self, xX)
- getMean(self)
- getVariance(self)
Methods inherited from Probability.Probability:
- DensityTest(self, xX, **dArgs)
- Compare the Density() with the numerically differentiated Distribution().
This doesn't make much sense in the abstract base class. But in general, the Density() method will be redefined, and this will be a real test.
- InverseTest(self, xY, **dArgs)
- Run a y value through InverseDistribution and then through Distribution, and compare the results.
- __str__(self)
- getIQR(self)
- getMedian(self)
- getStDev(self)
- html(self)
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class StdGaussian(Probability.Probability) |
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Methods defined here:
- Density(self, xX)
- Distribution(self, xX)
- InverseDistribution(self, xY, xEpsilon=9.9999999999999995e-08)
- Sample(self)
- getMean(self)
- getVariance(self)
Methods inherited from Probability.Probability:
- DensityTest(self, xX, **dArgs)
- Compare the Density() with the numerically differentiated Distribution().
This doesn't make much sense in the abstract base class. But in general, the Density() method will be redefined, and this will be a real test.
- InverseTest(self, xY, **dArgs)
- Run a y value through InverseDistribution and then through Distribution, and compare the results.
- __repr__(self)
- __str__(self)
- getIQR(self)
- getMedian(self)
- getStDev(self)
- html(self)
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