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mathburst.fireheartjerry.chatgpt.site

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A live mathematical canvas for reasoning, visualization, and WebMCP-native tutoring.

First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com

Answer 9 · Act 37 · Transact 2 · Score: Not yet scored

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train_model_step

act imperative

Take one honest gradient step on the training card, or reset it to the initial weights with reset: true. A step commits only if loss falls and the target probability rises (the learning rate backs off until it does); the linked attention card receives the same weights. Returns loss before and after.

Input schema

Property	Type	Required	Description
`objectId`	string	no	Id of the training object. Optional when the project holds exactly one.
`reset`	boolean	no	true: restore the initial weights and clear the history instead of stepping.

Raw JSON schema

{
  "type": "object",
  "properties": {
    "objectId": {
      "type": "string",
      "description": "Id of the training object. Optional when the project holds exactly one."
    },
    "reset": {
      "type": "boolean",
      "description": "true: restore the initial weights and clear the history instead of stepping."
    }
  },
  "additionalProperties": false
}

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