DiscreteLikelihoodExample

class DiscreteLikelihoodExample extends Example

An example for a single labeled discrete variable.

This assumes the set of factors in the model does not change with the value of the variable.

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label

The variable

model

The model

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1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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5. final def ==(arg0: Any): Boolean

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Put objective value and gradient into the accumulators.

Put objective value and gradient into the accumulators. Either argument can be null if they don't need to be computed.

value

Accumulator to hold value

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DiscreteLikelihoodExampleExample
7. final def asInstanceOf[T0]: T0

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8. def clone(): AnyRef

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9. final def eq(arg0: AnyRef): Boolean

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10. def equals(arg0: Any): Boolean

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11. def finalize(): Unit

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12. final def getClass(): Class[_]

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15. final def ne(arg0: AnyRef): Boolean

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16. final def notify(): Unit

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17. final def notifyAll(): Unit

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18. final def synchronized[T0](arg0: ⇒ T0): T0

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19. def toString(): String

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20. final def wait(): Unit

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21. final def wait(arg0: Long, arg1: Int): Unit

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22. final def wait(arg0: Long): Unit

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