{
  "schema": {
    "properties": {
      "confidence_interval": {
        "description": "Width of predicted confidence interval",
        "example": 0.8,
        "maximum": 1,
        "minimum": 0,
        "type": "number"
      },
      "monthly_seasonality": {
        "description": "Should monthly seasonality be applied. An integer value will specify Fourier order of seasonality, `None` will automatically detect seasonality.",
        "example": false
      },
      "periods": {
        "description": "Time periods (in units of `time_grain`) to predict into the future",
        "example": 7,
        "type": "integer"
      },
      "time_grain": {
        "description": "Time grain used to specify time period increments in prediction. Supports [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601#Durations) durations.",
        "enum": [
          "PT1S",
          "PT5S",
          "PT30S",
          "PT1M",
          "PT5M",
          "PT10M",
          "PT15M",
          "PT30M",
          "PT1H",
          "PT6H",
          "P1D",
          "P1W",
          "P1M",
          "P3M",
          "P1Y",
          "1969-12-28T00:00:00Z/P1W",
          "1969-12-29T00:00:00Z/P1W",
          "P1W/1970-01-03T00:00:00Z",
          "P1W/1970-01-04T00:00:00Z"
        ],
        "example": "P1D",
        "type": "string"
      },
      "weekly_seasonality": {
        "description": "Should weekly seasonality be applied. An integer value will specify Fourier order of seasonality, `None` will automatically detect seasonality.",
        "example": false
      },
      "yearly_seasonality": {
        "description": "Should yearly seasonality be applied. An integer value will specify Fourier order of seasonality, `None` will automatically detect seasonality.",
        "example": false
      }
    },
    "required": ["confidence_interval", "periods", "time_grain"],
    "type": "object",
    "title": "ChartDataProphetOptionsSchema"
  },
  "schemaType": "response"
}