rtm_generate_ensemble
Create a statistical ensemble of Random Trees to model population-level recall from narrative text, configurable by ensemble size, branching factor, and recall depth.
Instructions
Generate a statistical ensemble of Random Trees to model population-level recall
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ensembleSize | No | Number of trees to generate in the ensemble | |
| maxBranchingFactor | No | Maximum number of child nodes (K parameter) | |
| maxRecallDepth | No | Maximum depth for recall (D parameter) | |
| text | Yes | The narrative text to analyze | |
| title | Yes | Title of the narrative |
Input Schema (JSON Schema)
{
"additionalProperties": false,
"properties": {
"ensembleSize": {
"default": 100,
"description": "Number of trees to generate in the ensemble",
"type": "number"
},
"maxBranchingFactor": {
"default": 4,
"description": "Maximum number of child nodes (K parameter)",
"type": "number"
},
"maxRecallDepth": {
"default": 6,
"description": "Maximum depth for recall (D parameter)",
"type": "number"
},
"text": {
"description": "The narrative text to analyze",
"type": "string"
},
"title": {
"description": "Title of the narrative",
"type": "string"
}
},
"required": [
"text",
"title"
],
"type": "object"
}