ChartDataProphetOptionsSchema

confidence_intervalnumberrequired

Width of predicted confidence interval

Possible values: >= 0 and <= 1

Example: 0.8

daily_seasonality

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

Example: false

indexstring

Name of the column holding the x-axis data. Defaults to __timestamp.

Example: __timestamp

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, PT0.5H, PT1H, PT6H, P1D, P1W, P1M, P3M, P0.25Y, 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,
  "daily_seasonality": false,
  "index": "__timestamp",
  "periods": 7,
  "time_grain": "P1D",
  "weekly_seasonality": false,
  "yearly_seasonality": false
}