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c

io.citrine.lolo.hypers

HyperOptimizer

abstract class HyperOptimizer extends AnyRef

Base class for hyperparameter optimizers

They take a range of hypers as a Map[(String, Seq[Any])] and output the best map and loss Created by maxhutch on 12/8/16.

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GridHyperOptimizer, RandomHyperOptimizer
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Instance Constructors

  1. new HyperOptimizer()

Abstract Value Members

  1. abstract def optimize(trainingData: Seq[(Vector[Any], Any)], numIterations: Int = 8, builder: (Map[String, Any]) ⇒ Learner): (Map[String, Any], Double)

    Optimize the hypers over the defined search space

    Optimize the hypers over the defined search space

    trainingData

    the data to train/test on

    numIterations

    to take before terminating

    returns

    the best hyper map found in give iterations and the corresponding loss

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  4. def addHyperGrid(name: String, values: Seq[Any]): HyperOptimizer.this.type

    Add a 1D hyper range to the space searched by this optimizer

    Add a 1D hyper range to the space searched by this optimizer

    name

    of the hyper

    values

    it takes, enumerated as a seq

    returns

    calling instance

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  12. var hyperGrids: Map[String, Seq[Any]]

    The search space

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