metasyn.distribution.categorical
Module implementing categorical distributions.
Classes
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Categorical distribution using labels and probabilities. |
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Fitter for multinoulli distribution. |
- class metasyn.distribution.categorical.MultinoulliDistribution(labels, probs)
Bases:
BaseDistributionCategorical distribution using labels and probabilities.
This class represents a multinoulli (categorical) distribution. It is used in cases where there are multiple potential outcomes, each with a specified probability. The class stores the labels for each category and their corresponding probabilities.
- Parameters:
labels (list of str) – The labels for each category in the distribution, representing the possible outcomes.
probs (list of float) – The probabilities or frequencies of each category. These will be normalized internally.
Examples
>>> MultinoulliDistribution(labels=["a", "b", "b"], probs=[0.1, 0.3, 0.6]) >>> MultinoulliDistribution(labels=[1, 3, 6], probs=[0.3, 0.4, 0.3])
- name
core.multinoulli
- unique
False
- version
1.0
- var_type
[‘categorical’, ‘discrete’, ‘string’]
- draw()
Draw a random element from the fitted distribution.
- information_criterion(values)
Get the BIC value for a particular set of values.
- Parameters:
values (array_like) – Values to determine the BIC value of.
- Return type:
float
- classmethod default_distribution(var_type=None)
Get a distribution with default parameters.
- Parameters:
var_type (str | None)
- name: str = 'core.multinoulli'
The identifier for the implemented distribution
- var_type: Union[str, Sequence[str]] = ['categorical', 'discrete', 'string']
The variable type of the distribution
- class metasyn.distribution.categorical.MultinoulliFitter(privacy)
Bases:
BaseFitterFitter for multinoulli distribution.
- Parameters:
privacy (BasePrivacy)
- dist_class
<class ‘metasyn.distribution.categorical.MultinoulliDistribution’>
- version
1.0
- var_type
[‘categorical’, ‘string’, ‘discrete’]
- privacy
none
- distribution
alias of
MultinoulliDistribution