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Package Bio :: Package NeuralNetwork :: Package Gene :: Module Schema :: Class GeneticAlgorithmFinder |
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Find schemas using a genetic algorithm approach.
This approach to finding schema uses Genetic Algorithms to evolve a set of schema and find the best schema for a specific set of records.
The 'default' finder searches for ambiguous DNA elements. This can be overridden easily by creating a GeneticAlgorithmFinder with a different alphabet.Method Summary | |
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Initialize a finder to get schemas using Genetic Algorithms. | |
Find the given number of unique schemas using a genetic algorithm |
Method Details |
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__init__(self,
alphabet=SchemaDNAAlphabet())
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find_schemas(self, fitness, num_schemas)Find the given number of unique schemas using a genetic algorithm Arguments: o fitness - A callable object (ie. function) which will evaluate the fitness of a motif. o num_schemas - The number of unique schemas with good fitness that we want to generate. |
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