You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
18 lines
763 B
18 lines
763 B
1. Objective:
|
|
Random dataset generated from scipy.stats exponential distribution and two overlapping normal distributions which sums into a gaussian kde distribution.
|
|
Designed to show the capabilities of DensityFunction to assign the correct density function to each population of the by field groups.
|
|
|
|
2. License: Splunk Owned
|
|
|
|
5. Field Meanings:
|
|
1. city: Name of the city of times pregnant
|
|
2. measurement: Random number from a density function (exponential or gaussian_kde)
|
|
|
|
6. Parameter Selection:
|
|
A. Dashboard: Detect Outlier values
|
|
Settings:
|
|
1) Search: | inputlookup pdfdemo.csv | fit DensityFunction measurement by city into mymodel
|
|
2) Field to fit: measurement
|
|
3) By fields to fit: city
|
|
4) Output field: IsOutlier(measurement)
|