All Apps and Add-ons

How to use Splunk for prediction of log data?

apetwal
Engager

I want to make a model to predict logs(i.e time series data) that I have. Normally on Python I would try to design a RNN with each log encoded as one hot vector and then make a LSTM (RNN) model to fit the data and predict the future log data. I am new to Splunk and wanted to use the already existing MLTK (Machine Learning Toolkit) to counter this problem. I tried exploring TIme Series Prediction functionality of Splunk but it always required a numerical data to fit the curve which is not the case of log data I am injecting.

0 Karma

harshpatel
Contributor

Hi,

You can add your customized version of the algorithm to https://github.com/splunk/mltk-algo-contrib

Here, the official guide to doing so: https://docs.splunk.com/Documentation/MLApp/4.2.0/API/Introduction

Hope this helps.

Get Updates on the Splunk Community!

Detecting Remote Code Executions With the Splunk Threat Research Team

WATCH NOWRemote code execution (RCE) vulnerabilities pose a significant risk to organizations. If exploited, ...

Enter the Splunk Community Dashboard Challenge for Your Chance to Win!

The Splunk Community Dashboard Challenge is underway! This is your chance to showcase your skills in creating ...

.conf24 | Session Scheduler is Live!!

.conf24 is happening June 11 - 14 in Las Vegas, and we are thrilled to announce that the conference catalog ...