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Getting Started

  • Overview
  • Installation
  • Credits
  • Support

Examples

  • Experiment emulators
  • Run a simple benchmark
  • Run a larger benchmark
  • Planners Interfaces
  • Noisy Inputs
  • Custom Dataset
  • Custom Planner

Core Classes

  • Planners
    • Bayesian Algorithms
    • Evolutionary Algorithms
    • Gradient Methods
    • Grid-Like Searches
      • Grid Search
      • Latin Hypercube Sampling
      • Sobol Sampling
      • Random Search
    • Others
    • Planner Function
  • Datasets
  • Models
  • Emulators
  • Surfaces
  • Noises

Advanced Usage

  • Custom Emulators
  • Custom Planners

Complete API Reference

  • olympus package
Olympus
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  • Random Search
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Random Search¶

does this and that…

class olympus.planners.RandomSearch(*args, **kwargs)[source]

creates empty object and loads defaults

Parameters
  • me (str) – arbitrary name to identify the object

  • indent (int) – number of spaces used in string representation

Methods

tell([observations])

Provide the planner with all previous observations.

ask([return_as])

suggest new set of parameters

recommend([observations, return_as])

Consecutively executes tell and ask: tell the planner about all previous observations, and ask about the next query point.

optimize(emulator[, num_iter, verbose])

Optimizes a surface for a fixed number of iterations.

set_param_space(param_space)

Defines the parameter space over which the planner will search.

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© Copyright 2020, Matteo Aldeghi, Riley Hickman and Florian Häse.

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