series_exp_smoothing_fl()
Applies to: ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft Sentinel
Applies a basic exponential smoothing filter on a series.
The function series_exp_smoothing_fl()
is a user-defined function (UDF) that takes an expression containing a dynamic numerical array as input and applies a basic exponential smoothing filter.
Syntax
series_exp_smoothing_fl(
y_series [,
alpha ])
Learn more about syntax conventions.
Parameters
Name | Type | Required | Description |
---|---|---|---|
y_series | dynamic |
✔️ | An array cell of numeric values. |
alpha | real |
A value in the range [0-1] that specifies the weight of the last point vs. the weight of the previous points, which is 1 - alpha . The default is 0.5. |
Function definition
You can define the function by either embedding its code as a query-defined function, or creating it as a stored function in your database, as follows:
Define the function using the following let statement. No permissions are required.
Important
A let statement can't run on its own. It must be followed by a tabular expression statement. To run a working example of series_exp_smoothing_fl()
, see Example.
let series_exp_smoothing_fl = (y_series:dynamic, alpha:double=0.5)
{
series_iir(y_series, pack_array(alpha), pack_array(1, alpha-1))
};
// Write your query to use the function here.
Example
To use a query-defined function, invoke it after the embedded function definition.
let series_exp_smoothing_fl = (y_series:dynamic, alpha:double=0.5)
{
series_iir(y_series, pack_array(alpha), pack_array(1, alpha-1))
};
range x from 1 to 50 step 1
| extend y = x % 10
| summarize x = make_list(x), y = make_list(y)
| extend exp_smooth_y = series_exp_smoothing_fl(y, 0.4)
| render linechart
Output