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We are working on something new...

A Fresh New Splunkbase
We are designing a New Splunkbase to improve search and discoverability of apps. Check out our new and improved features like Categories and Collections. New Splunkbase is currently in preview mode, as it is under active development. We welcome you to navigate New Splunkbase and give us feedback.
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Splunk Machine Learning Toolkit

Splunk Machine Learning Toolkit
The Splunk Machine Learning Toolkit App delivers new SPL commands, custom visualizations, assistants, and examples to explore a variety of ml concepts. Each assistant includes end-to-end examples with datasets, plus the ability to apply the visualizations and SPL commands to your own data. You can inspect the assistant panels and underlying code to see how it all works. Look for our ML Youtube Playlist for simple explanations of how to use MLTK and what it is for.. ML Cheat Sheet https://docs.splunk.com/images/3/3f/Splunk-MLTK-QuickRefGuide-2019-web.pdf Assistants: * Predict Numeric Fields (Linear Regression): e.g. predict median house values. * Predict Categorical Fields (Logistic Regression): e.g. predict customer churn. * Detect Numeric Outliers (distribution statistics): e.g. detect outliers in IT Ops data. * Detect Categorical Outliers (probabilistic measures): e.g. detect outliers in diabetes patient records. * Forecast Time Series: e.g. forecast data center growth and capacity planning. * Cluster Numeric Events: e.g. Cluster Hard Drives by SMART Metrics Smart Assistants (new assistants with revamped UI and better ml pipeline/experiment management): *Smart Forecasting Assistant (provides enhanced time-series analysis for users with little to no SPL knowledge and leverages the StateSpaceForecasting algorithm): e.g. forecasting app logons with special days Available on both on-premise and cloud. MLTK version 5.4.2 is a maintenance and patch release: - If you choose to upgrade to MLTK version 5.4.2 and you have trained models that are built using certain algorithms, then you will need to retrain those models. For details, see [Upgrade the Splunk Machine Learning Toolkit.](https://docs.splunk.com/Documentation/MLApp/5.4.2/User/Upgrade) - This incompatibility for certain models with lower versions of MLTK is the result of the PSC add-on upgrading scikit-learn from version 0.24.2 to version 1.5.1. - If you use the ML-SPL API additional steps might also be required to validate any custom algorithms. See the [Adding a custom algorithm to the Splunk Machine Learning Toolkit](http://docs.splunk.com/Documentation/MLApp/5.4.2/API/Overview) in the ML-SPL API Guide for more information. - If you choose to upgrade to MLTK version 5.4.2 you must use Python for Scientific Computing (PSC) add-on version 3.2.1 or 4.2.1. Both MLTK and PSC must be updated. - If you are using [Predictive Analytics](https://docs.splunk.com/Documentation/ITSI/4.19.1/SI/PA) in ITSI and choose to upgrade then some additional steps to re-train predictive models will be required. These steps are outlined in [What’s new in MLTK](https://docs.splunk.com/Documentation/MLApp/5.4.2/User/Whatsnew). (c) Splunk 2024. All rights reserved.
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Splunk Built
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Palo Alto Networks App for Splunk

Palo Alto Networks App for Splunk
The Palo Alto Networks Add-on for Splunk has been deprecated and will soon be archived. View Details page for more information.
Splunk Cloud
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Splunk ES Content Update

Splunk ES Content Update
The Splunk ES Content Update (ESCU) app delivers pre-packaged Security Content. ESCU provides regular Security Content updates to help security practitioners address ongoing time-sensitive threats, attack methods, and other security issues. Security Content consists of tactics, techniques, and methodologies that help with detection, investigation, and response. Security Content enables security teams to directly operationalize detection searches, investigative searches, and other supporting details. ESCU can generate Notable/Risk Events in Splunk Enterprise Security. Security Content also contains easy-to-read background information and guidance, for key context on motivations and risks associated with attack techniques, as well as pragmatic advice on how to combat those techniques. The analytic stories and their searches are also available at - https://github.com/splunk/security_content.
Splunk Cloud
Splunk Built
splunk

Splunk Dashboard Examples

Splunk Dashboard Examples
The Splunk Dashboard app v8.2.6 will reach end of support on Dec 19, 2024. No new versions of the app will be released. Simple XML examples are available in SimpleXML reference guide documentation and the Dashboards & Visualizations forum on Splunk Community. Check out this Splunk Lantern article to learn more: https://lantern.splunk.com/@go/page/7411 ----- The Splunk Dashboard app delivers examples that give you a hands-on way to learn the basic concepts and tools needed to rapidly create rich dashboards using Simple XML. This new app incorporates learn-by-doing Simple XML examples, including extensions to Simple XML for further customization of layout, interactivity, and visualizations. With the app you will learn basic Simple XML concepts and how to incorporate the built-in components. All the included examples deliver a recipe for implementing dashboard elements, beginning with the most basic and progressing to more advanced elements. Each example in the app includes an actual runtime visualization followed by a description and supporting source code. (c) 2016-2020 Splunk Inc. All Rights Reserved.
Splunk Cloud
Splunk Built
Splunk Machine Learning Toolkit
Palo Alto Networks App for Splunk
Splunk ES Content Update
Splunk Dashboard Examples

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