scalation.modeling.neuralnet.StoppingRule
The StoppingRule trait provides stopping rules to terminating the iterative steps in an optimization early.
Attributes
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Graph
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Supertypes
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class Object
trait Matchable
class Any
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Known subtypes
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Members list
Stop when too many steps have the cost measure (e.g., sse) increasing. Signal a stopping condition by returning the best parameter vector, else null.
Stop when too many steps have the cost measure (e.g., sse) increasing. Signal a stopping condition by returning the best parameter vector, else null.
Value parameters
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b
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the current value of the parameter vector
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sse
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the current value of cost measure (e.g., sum of squared errors)
Attributes
Stop when too many steps have the cost measure (e.g., sse) increasing. Signal a stopping condition by returning the best parameter vector, else null.
Stop when too many steps have the cost measure (e.g., sse) increasing. Signal a stopping condition by returning the best parameter vector, else null.
Value parameters
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b
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the current parameter value (weights and biases)
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sse
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the current value of cost measure (e.g., sum of squared errors)
Attributes