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ChartDataProphetOptionsSchema

confidence_intervalnumberrequired

Width of predicted confidence interval

Possible values: >= 0 and <= 1

Example: 0.8
monthly_seasonality

Should monthly seasonality be applied. An integer value will specify Fourier order of seasonality, None will automatically detect seasonality.

Example: false
periodsintegerrequired

Time periods (in units of time_grain) to predict into the future

Example: 7
time_grainstringrequired

Time grain used to specify time period increments in prediction. Supports ISO 8601 durations.

Possible values: [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
weekly_seasonality

Should weekly seasonality be applied. An integer value will specify Fourier order of seasonality, None will automatically detect seasonality.

Example: false
yearly_seasonality

Should yearly seasonality be applied. An integer value will specify Fourier order of seasonality, None will automatically detect seasonality.

Example: false
ChartDataProphetOptionsSchema
{
  "confidence_interval": 0.8,
  "monthly_seasonality": false,
  "periods": 7,
  "time_grain": "P1D",
  "weekly_seasonality": false,
  "yearly_seasonality": false
}