Translation components API.

See the Weblate's Web API documentation for detailed description of the API.

GET /api/translations/libo_help-7-6/textscalc01/ast/units/?format=api&page=125
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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                "See the <link href=\"https://en.wikipedia.org/wiki/Exponential_smoothing\">Wikipedia on Exponential smoothing algorithms</link> for more information."
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                "<emph>target (mandatory):</emph> A date, time or numeric single value or range. The data point/range for which to calculate a forecast."
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                "<emph>values (mandatory):</emph> A numeric array or range. <emph>values</emph> are the historical values, for which you want to forecast the next points."
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                "<emph>timeline (mandatory):</emph> A numeric array or range. The timeline (x-value) range for the historical values."
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                "The timeline does not have to be sorted, the functions will sort it for calculations.<br/>The timeline values must have a consistent step between them.<br/>If a constant step cannot be identified in the sorted timeline, the functions will return the #NUM! error.<br/>If the ranges of both the timeline and the historical values are not the same size, the functions will return the #N/A error.<br/>If the timeline contains fewer than 2 data periods, the functions will return the #VALUE! error."
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                "<emph>data_completion (optional):</emph> a logical value TRUE or FALSE, a numeric 1 or 0, default is 1 (TRUE). A value of 0 (FALSE) will add missing data points with zero as historical value. A value of 1 (TRUE) will add missing data points by interpolating between the neighboring data points."
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                "Although the time line requires a constant step between data points, the function support up to 30% missing data points, and will add these data points."
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                "<emph>aggregation (optional):</emph> A numeric value from 1 to 7, with default 1. The aggregation parameter indicates which method will be used to aggregate identical time values:"
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                "<emph>period_length (optional)</emph>: A numeric value >= 0, the default is 1. A positive integer indicating the number of samples in a period."
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                "forecast = basevalue + trend * ∆x + periodical_aberration."
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                "The table below contains a timeline and its associated values:"
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