/// <summary>
/// Calculates the difference between the last two samples in the range vector v, returning an instant vector with the given deltas and equivalent labels.
/// InstantDelta should only be used with gauges.
/// </summary>
/// <returns></returns>
public InstantVector InstantDelta()
{
AddAction(InstantDeltaFunction.Create());
return(InstantVector.WithString(this));
}
/// <summary>
/// Calculates the per-second derivative of the time series in a range vector, using simple linear regression.
/// </summary>
/// <returns></returns>
public InstantVector Derivative()
{
AddAction(DerivativeFunction.Create());
return(InstantVector.WithString(this));
}
/// <summary>
/// Produces a smoothed value for time series based on the range.
/// The lower the smoothing factor sf, the more importance is given to old data.
/// The higher the trend factor tf, the more trends in the data is considered. Both sf and tf must be between 0 and 1.
/// HoltWinters should only be used with gauges.
/// </summary>
/// <returns></returns>
public InstantVector HoltWinters(float sf, float tf)
{
AddAction(HoltWintersFunction.Create(sf, tf));
return(InstantVector.WithString(this));
}
/// <summary>
/// The count of all values in the specified interval.
/// </summary>
/// <returns></returns>
public InstantVector CountOverTime()
{
AddAction(CountOverTimeFunction.Create());
return(InstantVector.WithString(this));
}
/// <summary>
/// For each input time series, returns the number of times its value has changed within the provided time range as an instant vector.
/// </summary>
/// <returns></returns>
public InstantVector Changes()
{
AddAction(ChangesFunction.Create());
return(InstantVector.WithString(this));
}
/// <summary>
/// The population standard variance of the values in the specified interval.
/// </summary>
/// <returns></returns>
public InstantVector StandardVarianceOverTime()
{
AddAction(StandardVarianceOverTimeFunction.Create());
return(InstantVector.WithString(this));
}
/// <summary>
/// Returns the number of counter resets within the provided time range as an instant vector. Any decrease in the value between two consecutive samples is interpreted as a counter reset.
/// Resets should only be used with counters.
/// </summary>
/// <returns></returns>
public InstantVector Resets()
{
AddAction(ResetsFunction.Create());
return(InstantVector.WithString(this));
}
/// <summary>
/// Predicts the value of time series from now, based on the range vector, using simple linear regression.
/// PredictLinear should only be used with gauges.
/// </summary>
/// <returns></returns>
public InstantVector PredictLinear(float seconds)
{
AddAction(PredictLinearFunction.Create(seconds));
return(InstantVector.WithString(this));
}
