Hi there!
🌟With new versions of Splunk’s MachineLearningToolkit (MLTK) v5.3 and Python for Scientific Add-on (PSC) v3.0, we have some important and exciting news to share for a...
Let's say you have a few search heads and ten or so indexers all running Splunk 6.2, and you want to upgrade your environment in the least intrusive way so you can use theMachineLearningToolkit....
I installed mltk app and PSC add on but I dont know how can I tune it with my own data as it use itself lookups, how can I define models and use it base on my network info?
I'm new to Splunk MachineLearningToolkit and still deciding what model and algorithm should be used in predicting system outages. It would be a big help if someone can assist me with my inquiries b...
Hi,
The kalman filter algorithm for time series forecasting is predicting for old time frame - backward direction. Could you please let me know why so ? Please find the attached screenshots
I'm trying to use the OneClassSVM algorithm (thank you, @cmerriman !) to detect outliers in the reactionTime field of my data. As best as I can tell from the information on scikit-learn.org, O...
I am using a MAC and have installed the Python for Scientific computing (DARWIN). Then installed theMachinelearningtoolkit. Running the Linear regression showcase fails at the Fitting Model s...
I'm working with the Detect Numeric Outliers assistant from the Splunk MachineLearningToolkit 2.3.0. When I use theToolkit's built-in data in the Showcase, I get a lovely Outliers Chart-style v...
In using theMachineLearningToolkit, I've noticed that some assistants (such as Predict Numeric Fields) have an option to save the chosen specifications as a model, and/or train said saved model o...
...rom 3 to 499), and some outliers above 10,000 (the most noticeable being as high as 1,000,000). I would like to use theMachineLearningToolkit to detect all the outliers (both those too high, and t...