Workflows on Models
Operations on Models
Train a parametric model
trainParametricModel[
G, T, Q, R,
S, M <: ParameterizedLearner[G, T, Q, R, S]](
regParameter: Double, step: Double, maxIt: Int, mini: Double)
- Type:
DataPipe[M, M]
- Result: Takes as input a parametric model i.e. a subclass of
ParameterizedLearner[G, T, Q, R, S], trains it and outputs the trained model.
Tune a model using global optimization
modelTuning[M <: GloballyOptWithGrad](
startingState: Map[String, Double], globalOpt: String,
grid: Int, step: Double)
- Type:
DataPipe[(S, S), (D, D)]
- Result: Takes as input a parametric model i.e. a subclass of
GloballyOptimizableWithGrad, tunes it using a global optimization procedure globalOpt and outputs the tuned model.