Tag: Machine Learning Toolkit
Latest Articles
Scaling Anomaly Detection with MLTK 5.5
Who doesn’t love a bit of anomaly detection with Splunk? As someone who has spent far too long talking about cyclical statistical forecasts and anomalies, you’ll be relieved that this is a topic that we don’t get tired of here at Splunk! In this blog post we will be taking you through some of the recent changes to the Machine Learning Toolkit, where we have released a more scalable version of our users most favorite algorithm.
Building the NextGen Factory with Splunk and Bosch Rexroth
For centuries there have been many wise sayings on how to deal with disruptions and prevail amidst uncertain circumstances. Read on to learn how Splunk and Bosch Rexroth are building the next-generation factory to help manufacturers elevate their resilience and take advantage of new market trends and operating models.
Improvements to DSDL Container Build Process
We’re happy to announce that with the upcoming release of DSDL 5.1.1 we’re significantly overhauling the build process for containers in DSDL.
Bring More ML to Splunk: Inference Externally Trained ONNX Models in MLTK 5.4.0
The Splunk Machine Learning ToolKit (MLTK) now enables users to upload their pre-trained models in MLTK with a simple UI.
Forecasting at Scale: How to Process Millions of Time Series using Prophet and DASK
How do you scale out a specific forecasting use case for millions of entities? Splunker Philipp Drieger gives you the low down and shows you how it's done with the help of DASK and Prophet.
Cyclical Statistical Forecasts and Anomalies - Part 6
Identifying anomalies in data is the top use for machine learning in Splunk. Here we will take you through a simple method for how you can detect anomalies on your data using SPL.
Getting Started with Machine Learning at Splunk
Dive into the concepts and resources to help get familiar with using the Splunk Machine Learning Toolkit, and get a look at some of the new content we’re working on to help you get more insight from your data using machine learning.
Go with your Data Flow - Improve your Machine Learning Pipelines
How do you organize the data flow in Splunk Enterprise or Splunk Cloud? Splunker Philipp Drieger shares typical data pipeline patterns that will help you improve your existing or future machine learning workflows with MLTK or DLTK.
Deep Learning Toolkit 3.6 - Automated Machine Learning, Random Cut Forests, Time Series Decomposition, and Sentiment Analysis
We’re excited to share that the Deep Learning Toolkit App for Splunk (DLTK) is now available in version 3.6 for Splunk Enterprise and Splunk Cloud. Read all about the updates here.
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