laxmi-narayan-87/ml-hyperparameter-optimization
v0.1.0
Plan and execute disciplined model-selection and hyperparameter optimization with clear validation boundaries, budgets, and reproducible comparisons.
plugin.json
- name
- ml-hyperparameter-optimization
- version
- 0.1.0
- description
- Plan and execute disciplined model-selection and hyperparameter optimization with clear validation boundaries, budgets, and reproducible comparisons.
- author
- juuvjfiuy@gmail.com
- extensions
- com.openai
plugin.json
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"author": {
"email": "vjfiuy@gmail.com",
"name": "juu"
},
"description": "Plan and execute disciplined model-selection and hyperparameter optimization with clear validation boundaries, budgets, and reproducible comparisons.",
"extensions": {
"com.openai": {
"interface": {
"capabilities": [],
"category": "Data & Analytics",
"defaultPrompt": "Help me optimize a model\u2019s hyperparameters and compare candidates rigorously.",
"developerName": "juu",
"displayName": "ML Hyperparameter Tuning",
"longDescription": "Plan and execute disciplined model-selection and hyperparameter optimization with clear validation boundaries, budgets, and reproducible comparisons.",
"shortDescription": "Tune models without leakage"
}
}
},
"keywords": [
"machine-learning",
"ml",
"data-science",
"ai",
"workflow"
],
"name": "ml-hyperparameter-optimization",
"repository": "https://github.com/aiskillstore/marketplace",
"version": "0.1.0"
}
Client extensions
Data this package carries for particular clients. The directory lists the clients named and never reads what is addressed to them.
- com.openai