MetricAggregator

Value Members

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

   

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2. final def ##(): Int

   

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

   

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4. def add(weights: Array[Double], dists: Array[UpdatableGaussianComponent])(agg: MetricAggregator, y: DenseVector[Double]): MetricAggregator

   

   Adder for individual points

   Adder for individual points

   Used for reducing individual data points and aggregating their statistics

   weights

   Current weights vector

   dists

   Current model components

   returns

   Instance with updated statistics

5. final def asInstanceOf[T0]: T0

   

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6. def clone(): AnyRef

   

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def finalize(): Unit

   

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

    

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11. def getPosteriors(point: DenseVector[Double], dists: Array[UpdatableGaussianComponent], weights: Array[Double]): DenseVector[Double]

    

    compute posterior membership probabilities for a data point

    compute posterior membership probabilities for a data point

    Used for reducing individual data points and aggregating their statistics

    point

    Data point

    dists

    Current model components

    weights

    current model's weights

    returns

    Vector of posterior membership probabilities

12. def hashCode(): Int

    

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13. def init(k: Int, d: Int): MetricAggregator

    

    MetricAggregator initializer

    MetricAggregator initializer

    Initializes an instance with initial statistics set as zero

    k

    Number of components in the model

    d

    Dimensionality of the data

14. final def isInstanceOf[T0]: Boolean

    

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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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