Probability Distribution

Description

Simulate the Probability distribution from user-function provided.

In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of different possible outcomes for an experiment.[1][2] It is a mathematical description of a random phenomenon in terms of its sample space and the probabilities of events (subsets of the sample space).[3]

Probability distribution definition - Wiki

Reference

   from probnode import ProbabilityDistribution

Constructor	Description	Link
ProbabilityDistribution( prob_function: Callable )	Initialize Probability distribution with input function.	basic

Method	Description	Link
probability_distribution(event)	Returns the probability of the Event passed in	basic

Usage

Recommended to use ProbabilityDistribution in a more succinct fashion

@ProbabilityDistribution
def my_custom_distribution_function(event):
  ...

# Then using the declared function
my_custom_distribution_function(event) # Directly
RandomVariable(my_custom_distribution_function, sample_space) # Or inside RandomVariable constructor