# CaseFactorDiscreteLikelihoodExample

#### class CaseFactorDiscreteLikelihoodExample extends Example

A gradient from a single DiscreteVar, where the set of factors is allowed to change based on its value.

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### Instance Constructors

1. #### new CaseFactorDiscreteLikelihoodExample(label: LabeledMutableDiscreteVar, model: model.Model with model.Parameters)

label

The discrete var

model

The model

### Value Members

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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CaseFactorDiscreteLikelihoodExampleExample
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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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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19. #### def toString(): String

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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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