Translation components API.

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

GET /api/translations/libo_help-master/textscalc01/es/units/?format=api&page=92
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                "embedded text for exponential smoothing"
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                "texto incrustado de alisamiento exponencial"
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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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                "El alisamiento exponencial es un método que empareja los valores reales en una serie temporal para así pronosticar los valores futuros probables."
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                "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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                "El alisamiento exponencial triple (ETS, por sus siglas en inglés) es un conjunto de algoritmos en los cuales se procesan la tendencia y las influencias periódicas (de temporada). El alisamiento exponencial doble (EDS) es un algoritmo parecido a ETS, pero sin las influencias periódicas. EDS produce pronósticos lineales."
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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>Objetivo (obligatorio):</emph> Una fecha, hora, valor numérico o área. El dato señalado por el cual se calcula un pronóstico."
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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>Valores (obligatorios):</emph> una matriz numérica o un intervalo. Los <emph>Valores</emph> son los valores históricos para los cuales se quieren pronosticar los próximos puntos."
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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>compleción_datos (opcional):</emph> un valor lógico VERDADERO o FALSO o un valor numérico de 1 o 0; el predeterminado es 1 (VERDADERO). El valor 0 (FALSO) añadirá los puntos de datos faltantes con valor histórico de cero. El valor 1 (VERDADERO) añadirá los puntos de datos faltantes interpolando entre dos puntos vecinos."
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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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                "Aunque el plazo necesita que los avances entre los puntos de datos sean constantes, la función admite que falte hasta un 30 % de los puntos de datos, y los añadirá automáticamente."
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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>totalización (opcional):</emph> un valor numérico entre 1 y 7; 1 es el predeterminado. El parámetro de totalización indica qué método se utilizará para totalizar valores de tiempo idénticos:"
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                "SUM"
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            "source": [
                "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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                "Aunque el plazo necesita que los avances entre los puntos de datos sean constantes, las funciones totalizarán los distintos puntos que posean la misma fecha y hora."
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            "source": [
                "<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>tipo_estadística (obligatorio)</emph>: un valor numérico entre 1 y 9. Este valor indica cuál estadística se devolverá para los valores y el intervalo x proporcionados."
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                "The following statistics can be returned:"
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                "Pueden devolverse las estadísticas siguientes:"
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                "Statistics"
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                "Alpha smoothing parameter of ETS algorithm (base)"
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                "Gamma smoothing parameter of ETS algorithm (trend)"
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                "Parámetro de alisamiento gamma del algoritmo de ETS (tendencia)"
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                "Beta smoothing parameter of ETS algorithm (periodic deviation)"
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                "Mean absolute scaled error (MASE) - a measure of the accuracy of forecasts."
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                "Error absoluto medio reducido (EAMR) - una medida de la precisión de las predicciones."
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                "Symmetric mean absolute percentage error (SMAPE) - an accuracy measure based on percentage errors."
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                "Error simétrico medio absoluto porcentual (ESMAP) - una medida de precisión basado en los errores porcentuales."
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            "id": 1511332,
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                "Mean absolute error (MAE) – a measure of the accuracy of forecasts."
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            "id": 1511333,
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            "source": [
                "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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                "Tamaño del avance en el plazo (intervalo x). Cuando se detecta un avance de meses, trimestres o años, el tamaño del avance se establece en meses; si el plazo se especifica con las horas, en días; y en los demás casos, el valor es numérico."
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            "id": 1511335,
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            "source": [
                "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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                "Cantidad de muestras en el período: equivale al argumento <emph>longitud_período</emph>, o bien, al número calculado si el valor de <emph>longitud_período</emph> es 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>nivel_confianza (obligatorio)</emph>: un valor numérico entre 0 y 1 (exclusivo); el predeterminado es 0,95. Este valor indica el nivel de confianza del intervalo de predicción calculado."
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            "id": 1511337,
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/es/?format=api",
            "source": [
                "With values <= 0 or >= 1, the functions will return the #NUM! Error."
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            "target": [
                "Con valores menores o iguales que 0 o mayores o iguales que 1, las funciones devolverán el error #¡NUM!"
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/es/?format=api",
            "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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            "target": [
                "<emph>longitud_período (opcional)</emph>: un valor numérico mayor que o igual a 0; el predeterminado es 1. Este entero indica la cantidad de muestras en un período."
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            "priority": 100,
            "id": 1511339,
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            "url": "https://translations.documentfoundation.org/api/units/1511339/?format=api",
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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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                "Un valor de 1 indica que Calc determinará el número de muestras del período automáticamente.<br/>Un valor de 0 indica que no existen efectos periódicos y que cualquier previsión se habrá de calcular con el algoritmo EDS.<br/>Para el resto de los valores positivos, las previsiones se calcularán con el algoritmo ETS.<br/>Para valores que no sean enteros positivos, la función devuelve el error #¡NUM!"
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            "priority": 100,
            "id": 1511340,
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            "source": [
                "forecast = basevalue + trend * ∆x + periodical_aberration."
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            "target": [
                "pronóstico = valor_base + tendencia * ∆x + desviación_periódica."
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            "priority": 100,
            "id": 1511341,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/es/?checksum=0a6a2d7d4dbdb3c0",
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            "source": [
                "forecast = ( basevalue + trend * ∆x ) * periodical_aberration."
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                "pronóstico = ( valor_base + tendencia * ∆x) * desviación_periódica."
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            "id": 1511342,
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            "source": [
                "The table below contains a timeline and its associated values:"
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                "La tabla siguiente contiene un plazo y sus valores asociados:"
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            "source": [
                "Values"
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            "source": [
                "Syntax"
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            "id": 1511353,
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            "source": [
                "Examples"
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                "Ejemplos"
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            "source": [
                "<variable id=\"func_im_comp_numb\">A <emph>complex number</emph> is a string expression resulting in the form \"a+bi\" or \"a+bj\", where a and b are numbers.</variable>"
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                "<variable id=\"func_im_real_numb\">If the <emph>complex number</emph> is actually a real number (b=0), then it can be either a string expression or a number value.</variable>"
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                "<variable id=\"func_im_real_numb\">Si el <emph>número complejo</emph> es en realidad un número real (b=0), entonces puede ser o una cadena o un valor numérico.</variable>"
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                "<variable id=\"func_im_return_text\">La función siempre devuelve una cadena que representa un número complejo.</variable>"
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