csviverdeia/timesfm-2-5-forecasting

TimesFM 2.5 200M - foundation model para forecasting de séries temporais (Google)

Public

1 run

Run csviverdeia/timesfm-2-5-forecasting with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
values	string		Série histórica em JSON ('[1.0, 1.1, ...]') ou CSV ('1.0, 1.1, ...').
forecast_context_len	integer	1024 Min: 32 Max: 4096	Máximo de pontos históricos usados como contexto. Mais = melhor previsão, mais lento.

{
  "type": "object",
  "title": "Input",
  "required": [
    "values"
  ],
  "properties": {
    "values": {
      "type": "string",
      "title": "Values",
      "x-order": 0,
      "description": "S\u00e9rie hist\u00f3rica em JSON ('[1.0, 1.1, ...]') ou CSV ('1.0, 1.1, ...')."
    },
    "forecast_context_len": {
      "type": "integer",
      "title": "Forecast Context Len",
      "default": 1024,
      "maximum": 4096,
      "minimum": 32,
      "x-order": 1,
      "description": "M\u00e1ximo de pontos hist\u00f3ricos usados como contexto. Mais = melhor previs\u00e3o, mais lento."
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "string",
  "title": "Output"
}