Module statistics 

Probabilistic distributions for expression-level statistics (unused).

Note: All public items in this module are deprecated as of 54.0.0.

See https://github.com/apache/datafusion/pull/22071 for details.

Structs

BernoulliDistributionDeprecated

Bernoulli distribution with success probability p. If p has a null value, the success probability is unknown. For a more in-depth discussion, see:

ExponentialDistributionDeprecated

Exponential distribution with an optional shift. The probability density function (PDF) is defined as follows:

GaussianDistributionDeprecated

Gaussian (normal) distribution, represented by its mean and variance. For a more in-depth discussion, see:

GenericDistributionDeprecated

A generic distribution whose functional form is not available, which is approximated via some summary statistics. For a more in-depth discussion, see:

UniformDistributionDeprecated

Uniform distribution, represented by its range. If the given range extends towards infinity, the distribution will be improper – which is OK. For a more in-depth discussion, see:

Enums

DistributionDeprecated

This object defines probabilistic distributions that encode uncertain information about a single, scalar value. Currently, we support five core statistical distributions. New variants will be added over time.

Functions

combine_bernoullisDeprecated

This function takes a logical operator and two Bernoulli distributions, and it returns a new Bernoulli distribution that represents the result of the operation. Currently, only AND and OR operations are supported.

combine_gaussiansDeprecated

Applies the given operation to the given Gaussian distributions. Currently, this function handles only addition and subtraction operations. If the result is not a Gaussian random variable, it returns None. For details, see:

compute_meanDeprecated

Computes the mean value for the result of the given binary operation on two unknown quantities represented by their Distribution objects.

compute_medianDeprecated

Computes the median value for the result of the given binary operation on two unknown quantities represented by its Distribution objects. Currently, the median is calculable only for addition and subtraction operations on:

compute_varianceDeprecated

Computes the variance value for the result of the given binary operation on two unknown quantities represented by their Distribution objects.

create_bernoulli_from_comparisonDeprecated

Creates a new Bernoulli distribution by computing the resulting probability. Expects op to be a comparison operator, with left and right having numeric distributions. The resulting distribution has the Float64 data type.

new_generic_from_binary_opDeprecated

Creates a new Generic distribution that represents the result of the given binary operation on two unknown quantities represented by their Distribution objects. The function computes the mean, median and variance if possible.