NormalDistribution

class negmas.helpers.NormalDistribution(loc=0.0, scale=1.0, *, type='norm', **kwargs)

Bases: negmas.helpers.prob.ScipyDistribution

A ScipyDistribution reprsenting a unifrom distribution

Attributes Summary

loc	Returns the location of the distributon (usually mean)
max	Returns the maximum
min	Returns the minimum
scale	Returns the scale of the distribution (may be std.

Methods Summary

__call__(val)	Returns the probability for the given value
cum_prob(mn, mx)	Returns the probability for the given range
is_crisp()	Returns true if this is a distribution with all probability at one point (delta(v))
is_gaussian()	Returns true if this is a gaussian distribution
is_uniform()	Returns true if this is a uniform distribution
mean()	Finds the mean
prob(val)	Returns the probability for the given value
sample([size])	Samples size elements from the distribution
type()	Returns the distribution type (e.g.

Attributes Documentation

loc

max

min

scale

Methods Documentation

__call__(val)

Returns the probability for the given value

Return type

float

cum_prob(mn, mx)

Returns the probability for the given range

Return type

float

is_crisp()

Returns true if this is a distribution with all probability at one point (delta(v))

Return type

bool

is_gaussian()

Returns true if this is a gaussian distribution

is_uniform()

Returns true if this is a uniform distribution

mean()

Finds the mean

Return type

float

prob(val)

Returns the probability for the given value

Return type

float

sample(size=1)

Samples size elements from the distribution

Return type

ndarray

type()

Returns the distribution type (e.g. uniform, normal, …)

Return type

str