Package nltk :: Package inference :: Module api :: Class BaseModelBuilderCommand

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type BaseModelBuilderCommand

        object --+        
                 |        
TheoremToolCommand --+    
                     |    
BaseTheoremToolCommand --+
                         |
        object --+       |
                 |       |
TheoremToolCommand --+   |
                     |   |
   ModelBuilderCommand --+
                         |
                        BaseModelBuilderCommand

Known Subclasses:

This class holds a ModelBuilder, a goal, and a list of assumptions. When build_model() is called, the ModelBuilder is executed with the goal and assumptions.

Instance Methods

__init__(self, modelbuilder, goal=None, assumptions=None)

source code

nltk.sem.evaluate.Valuation

build_model(self, verbose=False)
Attempt to build a model.

source code

model(self, format=None)
Return a string representation of the model

source code

_decorate_model(self, valuation_str, format=None)
Returns: str source code

get_model_builder(self)
Return the model builder object

source code

Inherited from BaseTheoremToolCommand: add_assumptions, assumptions, goal, print_assumptions, retract_assumptions

Instance Variables

_modelbuilder
The theorem tool to execute with the assumptions

Inherited from BaseTheoremToolCommand (private): _result

Method Details

init(self, modelbuilder, goal=None, assumptions=None)
(Constructor)

Parameters:

modelbuilder (ModelBuilder) - The theorem tool to execute with the assumptions

Overrides: BaseTheoremToolCommand.__init__

See Also: BaseTheoremToolCommand

build_model(self, verbose=False)

Attempt to build a model. Store the result to prevent unnecessary re-building.

Returns: nltk.sem.evaluate.Valuation: A model if one is generated; None otherwise.
Overrides: ModelBuilderCommand.build_model

model(self, format=None)

Return a string representation of the model

Parameters:

simplify - boolean simplify the proof?

Returns:

str

Overrides: ModelBuilderCommand.model

_decorate_model(self, valuation_str, format=None)

Parameters:

valuation_str - str with the model builder's output
format - str indicating the format for displaying

Returns:

str

get_model_builder(self)

Return the model builder object

Returns:: ModelBuilder
Overrides: ModelBuilderCommand.get_model_builder: (inherited documentation)