load_model
Load a pre-trained machine learning model from OpenXAI MCP Server for evaluating AI explanations, specifying dataset and model type for use in benchmarking and analysis.
Instructions
Load a pre-trained model from OpenXAI
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data_name | Yes | Name of the dataset the model was trained on | |
| ml_model | Yes | Type of machine learning model (ann, lr, rf, svm, xgb) | |
| pretrained | No | Whether to load a pretrained model |
Input Schema (JSON Schema)
{
"properties": {
"data_name": {
"description": "Name of the dataset the model was trained on",
"type": "string"
},
"ml_model": {
"description": "Type of machine learning model (ann, lr, rf, svm, xgb)",
"enum": [
"ann",
"lr",
"rf",
"svm",
"xgb"
],
"type": "string"
},
"pretrained": {
"default": true,
"description": "Whether to load a pretrained model",
"type": "boolean"
}
},
"required": [
"data_name",
"ml_model"
],
"type": "object"
}