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