I want to use a ML toolkit trained model in Enterprise security.
To do this I want to use the "apply" command in a correlation search, which should use the trained model.
THe model is shared g...
I have two searches, one to train MLmodel and second to apply the model. I would like to run them in sequence, first train ML search should run and after that applyML search s...
...m re-reading through to documentation to see if something is missed, I do not have a saved model from
this I see that I can use the apply function.
Does any specific permission need to be c...
Hi, I have built a MLmodel for detecting Categorial outliers. Base search for the model is given as last 30 days[training set]. An alert has been scheduled for the same if no.of results>0 e...
Hello,
Using the ML Toolkit, I am looking to train and and apply the OneclassSVM algorithm on a list of models. Basically I have aggregated a dataset and I have a bunch of users (over 500) and I w...
I have a custom MLmodel which does anomaly detection and once the fit and apply is done , i need the ML result to be consumed on multiple tiles to show various graph and result. Since its c...
I would like to know what approaches to take for detecting patterns in outliers using Splunk. I'm familiar with approaches to detect outliers but would like Splunk to help identify what things are i...
The requirement is to do forecasting on indexed data. A python script will be developed and use in Splunk to use the indexed data for forecasting. Is this possible? if yes, how?
Thanks!
...ore familiar with using python scripts on my local computer for ML.
Is there a way to import a trained model into Splunk which can then be used to "apply" on new data?
We have Splunk E...
...sing the "summary" command from the Splunk ML app. The entry in searchbnf.conf is: [summary-command] syntax = summary <model_name> shortdesc = Returns a summary of a machine learning model...