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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- new HyperOptimizer()
Abstract Value Members
- 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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- 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
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- var hyperGrids: Map[String, Seq[Any]]
The search space
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