rescale_forecast

Rescale normalized forecast predictions (0 to 1) to a specific range using defined min and max values. Ideal when converting probabilities to custom units or adjusting forecasts for practical use cases.

Instructions

A tool that rescales the prediction data (values between 0 and 1) from the NormalizedForecaster agent to scale required for a use case

When to use this tool:

Use this tool when there is enough information from the user or use cases to determine a reasonable min and max for the forecast predictions
Do not attempt to rescale or denormalize the predictions on your own without using this tool.
Also, if the best min and max for the use case is 0 and 1, then no rescaling is needed since that is already the scale of the predictions.
If a user requests to convert from probabilities to a unit in levels, be sure to caveat your use of this tool by noting that probabilities do not always scale uniformly to levels. Rescaling can be used as a rough first-pass estimate. But for best results, it would be better to start a new Chronulus forecasting use case predicting in levels from the start.

How to use this tool:

To use this tool present prediction_id from the normalized prediction and the min and max as floats
If the user is also changing units, consider if the units will be inverted and set the inverse scale to True if needed.
When plotting the rescaled predictions, use a Rechart time series plot with the appropriate axes labeled and include the chronulus prediction explanation as a caption below the plot.
If you would like to add additional notes about the scaled series, put these below the original prediction explanation.

Input Schema

Name	Required	Description
`invert_scale`	No	Set this flag to true if the scale of the new units will run in the opposite direction from the inputs.
`prediction_id`	Yes	The prediction_id from a prediction result
`y_max`	Yes	The expected largest value for the use case. E.g., for product sales, 0 would be the largest possible value would be given by the user or determined from this history of sales for the product in question or a similar product.
`y_min`	Yes	The expected smallest value for the use case. E.g., for product sales, 0 would be the least possible value for sales.

Input Schema (JSON Schema)

{
  "properties": {
    "invert_scale": {
      "default": false,
      "description": "Set this flag to true if the scale of the new units will run in the opposite direction from the inputs.",
      "title": "Invert Scale",
      "type": "boolean"
    },
    "prediction_id": {
      "description": "The prediction_id from a prediction result",
      "title": "Prediction Id",
      "type": "string"
    },
    "y_max": {
      "description": "The expected largest value for the use case. E.g., for product sales, 0 would be the largest possible value would be given by the user or determined from this history of sales for the product in question or a similar product.",
      "title": "Y Max",
      "type": "number"
    },
    "y_min": {
      "description": "The expected smallest value for the use case. E.g., for product sales, 0 would be the least possible value for sales.",
      "title": "Y Min",
      "type": "number"
    }
  },
  "required": [
    "prediction_id",
    "y_min",
    "y_max"
  ],
  "title": "rescale_forecastArguments",
  "type": "object"
}

Chronulus MCP Server

rescale_forecast

Instructions

Input Schema

Input Schema (JSON Schema)

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