Trait/Object

org.apache.spark.ml.odkl.hyperopt

BayesianParamOptimizer

Related Docs: object BayesianParamOptimizer | package hyperopt

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trait BayesianParamOptimizer extends AnyRef

Used to perform hyperparameters search via sampling. Sampling is performed from the [0,1]^^N hypercube and mapping from [0,1] to particular values are made by the parameter domains. Availible implementations of Bayessian optimizers are largely based on the LinkedIn Photon-ML project.

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AnyRef, Any
Known Subclasses
GaussianProcessOptimizer, RandomOptimizer
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Abstract Value Members

  1. abstract def sampleInitialParams(): DenseVector[Double]

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    returns

    Initial random sample of parameters to investigate.

  2. abstract def sampleNextParams(observation: DenseVector[Double], value: Double): DenseVector[Double]

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    returns

    Having evaluation for the certain parameters sample next point to evaluate.

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  2. final def ##(): Int

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