Optuna MCP Server

Official

MIT License

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set_sampler

Configure the sampler for hyperparameter optimization studies in Optuna, selecting from TPESampler, NSGAIISampler, RandomSampler, or GPSampler based on optimization needs.

Instructions

Set the sampler for the study. The sampler must be one of the following: - TPESampler - NSGAIISampler - RandomSampler - GPSampler

    The default sampler for single-objective optimization is TPESampler.
    The default sampler for multi-objective optimization is NSGAIISampler.
    GPSampler is a Gaussian process-based sampler suitable for low-dimensional numerical optimization problems.
    

Input Schema

Name	Required	Description	Default
`name`	Yes

Input Schema (JSON Schema)

{
  "properties": {
    "name": {
      "enum": [
        "TPESampler",
        "NSGAIISampler",
        "RandomSampler",
        "GPSampler"
      ],
      "title": "Name",
      "type": "string"
    }
  },
  "required": [
    "name"
  ],
  "title": "set_samplerArguments",
  "type": "object"
}

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