I want to know whether Splunk Machine Learning depends on time series data ? I know predict command totally depends on time series data. But, suppose if the client has logs/data which does not contain timestamps, then in that case, how we can use Splunk ML for predicting failures or impact on services ?
If ML supports only time series data for prediction, then what would be Splunk solution for data without timestamps and how we can predict failures, as well as predict impact on services such as storage/ldap etc.. based on historical data without timestamps ? Please advise.