pm4py.objects.random_variables package

Submodules

pm4py.objects.random_variables.basic_structure module

class pm4py.objects.random_variables.basic_structure.BasicStructureRandomVariable[source]

Bases: object

get_distribution_parameters()[source]

Get a string representing distribution parameters

Returns

String representing distribution parameters

Return type

distribution_parameters

get_distribution_type()[source]

Get current distribution type

Returns

String representing the distribution type

Return type

distribution_type

get_priority()[source]

Getter of the priority

Returns

Priority of the transition

Return type

priority

get_transition_type()[source]

Get the type of transition associated to the current distribution

Returns

String representing the type of the transition

Return type

transition_type

get_value()[source]

Get a random value following the distribution

Returns

Value obtained following the distribution

Return type

value

get_values(no_values=400)[source]

Get some random values following the distribution

Parameters

no_values – Number of values to return

Returns

Values extracted according to the probability distribution

Return type

values

get_weight()[source]

Getter of weight

Returns

Weight of the transition

Return type

weight

set_priority(priority)[source]

Setter of the priority variable

Parameters

priority – Priority of the transition

set_weight(weight)[source]

Setter of weight variable

Parameters

weight – Weight of the transition

pm4py.objects.random_variables.random_variable module

class pm4py.objects.random_variables.random_variable.RandomVariable[source]

Bases: object

calculate_loglikelihood(values)[source]

Calculate log likelihood

Parameters

values – Empirical values to work on

Returns

Log likelihood that the values follows the distribution

Return type

likelihood

calculate_parameters(values, parameters=None, force_distribution=None)[source]

Calculate parameters of the current distribution

Parameters
  • values – Empirical values to work on

  • parameters – Possible parameters of the algorithm

  • force_distribution – If provided, distribution to force usage (e.g. EXPONENTIAL)

get_distribution_parameters()[source]

Get a string representing distribution parameters

Returns

String representing distribution parameters

Return type

distribution_parameters

get_distribution_type()[source]

Get current distribution type

Returns

String representing the distribution type

Return type

distribution_type

get_priority()[source]

Getter of the priority

Returns

Priority of the transition

Return type

priority

get_transition_type()[source]

Get the type of transition associated to the current distribution

Returns

String representing the type of the transition

Return type

transition_type

get_value()[source]

Get a random value following the distribution

Returns

Value obtained following the distribution

Return type

value

get_values(no_values=400)[source]

Get some random values following the distribution

Parameters

no_values – Number of values to return

Returns

Values extracted according to the probability distribution

Return type

values

get_weight()[source]

Getter of weight

Returns

Weight of the transition

Return type

weight

read_from_string(distribution_type, distribution_parameters)[source]

Read the random variable from string

Parameters
  • distribution_type – Distribution type

  • distribution_parameters – Distribution parameters splitted by ;

set_priority(priority)[source]

Setter of the priority variable

Parameters

priority – Priority of the transition

set_weight(weight)[source]

Setter of the weight

Parameters

weight – Weight of the transition

Module contents