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Class Reference
%DeepSee.extensions.stat.AbstractContinuousDistribution
    
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  [BASEXML] >  [%DeepSee] >  [extensions] >  [stat] >  [AbstractContinuousDistribution]
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class %DeepSee.extensions.stat.AbstractContinuousDistribution extends AbstractDistribution

Provides common base for various continues distributions.

Inventory

Parameters Properties Methods Queries Indices ForeignKeys Triggers
6


Summary

Properties
Entropy Mean Variance

Methods
%IsContinuous GetDiscreteDistribution GetKullbackLeiblerDivergence GetLogLikelihood
cdf pdf

Subclasses
%DeepSee.extensions.stat.ExpDistribution %DeepSee.extensions.stat.MixedDistribution %DeepSee.extensions.stat.NormalDistribution

Methods

• classmethod %IsContinuous() as %Boolean
Returns 1
• method GetDiscreteDistribution(x0 As %Double, x1 As %Double, n As %Integer, Output sc As %Status) as Abstract1DDistribution
Returns a discrete distribution between values x0 and x1 constructed from this continues distribution. The discrete distribution is divided into n bins.
• method GetLogLikelihood(Q As AbstractDistribution, Output sc As %Status) as %Double
• abstract method cdf(x1 As %Double, x2 As %Double = "") as %Double
An interface method for cumulative distribution function (CDF). Optionally provides a cumulative probability of a value being between two values x1 and x2.

If called with 1 argument(x1) or if the value of second argument is empty string then returns CDF value for x1. If called with two arguments, x1 and x2 then returns a probability of a value being between x1 and x2.

• abstract method pdf(x As %Double) as %Double
An interface method for probability distribution function (PDF). Returns PDF value for x.