neurolang.probabilistic.expressions module

class neurolang.probabilistic.expressions.Condition(conditioned, conditioning)

Bases: ProbabilisticBinaryLogicOperator

Methods

__call__(*args, **kwargs)	Call self as a function.
apply(*args)	Builds a new expression using a tuple of its parameters
type
unapply()	Returns a tuple of parameters used to build the expression.

cast
change_type
get_wrapped_attribute

type = typing.Any

class neurolang.probabilistic.expressions.Grounding(expression, relation)

Bases: Definition

Methods

__call__(*args, **kwargs)	Call self as a function.
apply(*args)	Builds a new expression using a tuple of its parameters
type
unapply()	Returns a tuple of parameters used to build the expression.

cast
change_type
get_wrapped_attribute

type = typing.Any

class neurolang.probabilistic.expressions.ProbabilisticBinaryLogicOperator(*args, **kwargs)

Bases: BinaryLogicOperator

Methods

__call__(*args, **kwargs)	Call self as a function.
apply(*args)	Builds a new expression using a tuple of its parameters
type
unapply()	Returns a tuple of parameters used to build the expression.

cast
change_type
get_wrapped_attribute

type = typing.Any

class neurolang.probabilistic.expressions.ProbabilisticChoice(probability, body)

Bases: ProbabilisticPredicate

Attributes:

args

functor

Methods

__call__(*args, **kwargs)	Call self as a function.
apply(*args)	Builds a new expression using a tuple of its parameters
type
unapply()	Returns a tuple of parameters used to build the expression.

cast
change_type
get_wrapped_attribute

type = typing.Any

class neurolang.probabilistic.expressions.ProbabilisticChoiceGrounding(expression, relation)

Bases: Grounding

Class used to differentiate the grounding of a probabilistic choice from the grounding of other choices.

Methods

__call__(*args, **kwargs)	Call self as a function.
apply(*args)	Builds a new expression using a tuple of its parameters
type
unapply()	Returns a tuple of parameters used to build the expression.

cast
change_type
get_wrapped_attribute

type = typing.Any

class neurolang.probabilistic.expressions.ProbabilisticFact(probability, body)

Bases: ProbabilisticPredicate

Attributes:

args

functor

Methods

__call__(*args, **kwargs)	Call self as a function.
apply(*args)	Builds a new expression using a tuple of its parameters
type
unapply()	Returns a tuple of parameters used to build the expression.

cast
change_type
get_wrapped_attribute

type = typing.Any

class neurolang.probabilistic.expressions.ProbabilisticPredicate(probability, body)

Bases: Definition

Attributes:

args

functor

Methods

__call__(*args, **kwargs)	Call self as a function.
apply(*args)	Builds a new expression using a tuple of its parameters
type
unapply()	Returns a tuple of parameters used to build the expression.

cast
change_type
get_wrapped_attribute

property args

property functor

type = typing.Any

class neurolang.probabilistic.expressions.ProbabilisticQuery(functor, args, kwargs=None, validate_arguments=False, verify_type=True)

Bases: FunctionApplication

Attributes:

function

Methods

__call__(*args, **kwargs)	Call self as a function.
apply(*args)	Builds a new expression using a tuple of its parameters
type
unapply()	Returns a tuple of parameters used to build the expression.

cast
change_type
get_wrapped_attribute

type = typing.Any