plan_windows
Plans fixed-length training windows across dataset episodes using configurable window size and stride, helping prepare episode/start/end boundaries for model training.
Instructions
Plan fixed-length training windows over the episodes of a dataset (window, stride, episode/start/end).
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"path": "<path>"
},
"name": "plan_windows"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| limit | No | ||
| stride | No | ||
| window | No |