Translation components API.

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

GET /api/translations/libo_help-master/textscalc01/nn/units/?format=api&page=92
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                "embedded text for exponential smoothing"
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                "innebygd tekst for eksponentiell utjamning"
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                "Exponential Smoothing is a method to smooth real values in time series in order to forecast probable future values."
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                "Eksponentiell utjamning er ein metode for å glatta ut reelle verdiar i tidsseriar kunna føreslå moglege framtidige verdiar."
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            "source": [
                "Exponential Triple Smoothing (ETS) is a set of algorithms in which both trend and periodical (seasonal) influences are processed. Exponential Double Smoothing (EDS) is an algorithm like ETS, but without the periodical influences. EDS produces linear forecasts."
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                "Eksponentiell trippelutjamning (Exponential Triple Smoothing (ETS)) er ei samling algoritmar der både trend og periodiske (sesongavhengige) påverknader vert rekna med. Eksponentiell dobbelutjamning (Exponential Double Smoothing (EDS)) liknar på ETS, men tek ikkje med periodiske påverknadar. EDS lagar lineære prognoser."
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            "source": [
                "<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>mål (obligatorisk)</emph>: Ein dato, klokkeslett, ein talverdi eller talområde. Datapunktet eller området som prognosen skal reknast ut frå."
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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>verdi (obligatorisk)</emph>: Ei numerisk liste eller eit område. <emph>verdiar</emph> er dei historiske verdiane som du ønskjer å bruka for å lage prognose for dei neste punkta."
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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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                "<emph>datafullføring (valfri)</emph>: Ein logisk verdi SANN eller USANN, tala 0 eller 1 med 1 (SANN) er standard. Verdien 0 (USANN) vil leggja til manglande punkt med null som historisk verdi. Verdien 1 (SANN) vil leggja til manglande punkt som ein interpolert verdi mellom nabopunkta."
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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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                "Sjølv om tidslinja må ha ein konstant stegavstand mellom datapunkta, kan funksjonen arbeida med opp til 30 % manglande punkt. Dei manglande punkta vert lagt til."
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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>samandrag (valfri):</emph> Ein talverdi frå 1 til 7 med 1 sett som standard. Verdien viser kva samandragsmetode som vert brukt:"
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            "source": [
                "SUM"
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                "SUMMER (SUM på engelsk)"
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                "Although the time line requires a constant step between data points, the functions will aggregate multiple points which have the same time stamp."
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                "Sjølv om tidslinja må ha ein konstant stegavstand mellom datapunkta, vil funksjonen dra saman fleire punkt med det same tidsstempelet."
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                "<emph>stat_type (mandatory)</emph>: A numerical value from 1 to 9. A value indicating which statistic will be returned for the given values and x-range."
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                "<emph>stat_type (obligatorisk)</emph>: Ein talverdi frå 1 til 9. Verdien bestemmer kva statistikkar som skal returnerast for dei gjevne verdiane og x-området."
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                "The following statistics can be returned:"
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                "Alpha smoothing parameter of ETS algorithm (base)"
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                "Mean absolute scaled error (MASE) - a measure of the accuracy of forecasts."
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                "Root mean squared error (RMSE) - a measure of the differences between predicted and observed values."
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            "source": [
                "Step size detected time line (x-range). When a stepsize in months/quarters/years is detected, the stepsize is in months, otherwise the stepsize is in days in case of date(time) timeline and numeric in other cases."
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                "Number of samples in period – this is the same as argument <emph>period_length</emph>, or the calculated number in case of argument <emph>period_length</emph> being 1."
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                "<emph>confidence_level (mandatory)</emph>: A numeric value between 0 and 1 (exclusive), default is 0.95. A value indicating a confidence level for the calculated prediction interval."
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                "<emph>tiltru (nødvendig)</emph>: Ein talverdi mellom 0 og 1 (eksklusiv). Standard er 0,95. Ein verdi som indikerer kor truverdig det utrekna prognoseintervallet er."
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            "id": 1726852,
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/nn/?format=api",
            "source": [
                "With values <= 0 or >= 1, the functions will return the #NUM! Error."
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                "Dersom verdiane er <= 0 eller >= 1 vil funksjonen returnera feilen #TAL!."
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            "id": 1726853,
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            "source": [
                "<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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                "<emph>periodelengd (valfri)</emph>: Ein talverdi >=0. Standard er 1. Eit positivt heiltal viser talet på prøver i ein periode."
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            "priority": 100,
            "id": 1726854,
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            "source": [
                "A value of 1 indicates that Calc is to determine the number of samples in a period automatically. <br/>A value of 0 indicates no periodic effects, a forecast is calculated with EDS algorithms. <br/>For all other positive values, forecasts are calculated with ETS algorithms.<br/>For values that not being a positive whole number, the functions will return the #NUM! Error."
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                "Er verdien 1 viser dette at Calc skal avgjerda talet på prøver i perioden automatisk. <br/>Er verdien 0, vert prognosen rekna ut med ADS-algoritmer. <br/>For alle andre positive verdiar vert prognosen rekna ut med ETS-algoritmer. <br/>Er verdien ikkje eit positivt heiltal, vil funksjonen returnera feilen #TAL!."
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            "source": [
                "forecast = basevalue + trend * ∆x + periodical_aberration."
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                "prognose = basisverdi + trend * ∆x + periodisk_avvik"
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            "priority": 100,
            "id": 1726856,
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                "forecast = ( basevalue + trend * ∆x ) * periodical_aberration."
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                "prognose = (basisverdi + trend * ∆x) * periodisk_avvik"
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                "The table below contains a timeline and its associated values:"
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                "Tabellen nedanfor inneheld ei tidslinje og verdiane som høyrer til denne:"
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                "Values"
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                "Syntax"
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                "Examples"
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                "<bookmark_value>AGGREGATE function</bookmark_value>"
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