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The probabilistic feature provides arbitrary functions to work with discrete and continuous random variables in a data stream and provides algebraic operator (+, *, -, /) to perform probabilistic addition, subtraction, multiplication, division, and exponentiation.
Int(
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<ProbabilisticDouble x, Number a, Number b>|<Vector xyz, Number a, Number b>)
Estimates the multivariate normal distribution probability with lower and upper integration limit.
as2DVector(
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ProbabilisticDouble x, ProbabilisticDouble y)
Converts the two object into a 2D vector.
as3DVector(
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ProbabilisticDouble x, ProbabilisticDouble y, ProbabilisticDouble z)
Similar to the as2DVector function, this function creates a 3D vector with the given objects.
Similarity(
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ProbabilisticDouble p1, ProbabilisticDouble p2)
Calculates the Bhattacharyya distance between two distributions.
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SELECT similarity(as2DVector(x1,y1), as2DVector(x2,y2)) FROM stream |
Distance(
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ProbabilisticDouble p, Number x)
Calculates the Mahalanobis distance between the distribution and the value. The value can be a scalar value or a vector.
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