Splunk Machine Learning Toolkit
The Splunk Machine Learning Toolkit (MLTK) enhances the Splunk platform with specialized tools for machine learning. It offers over 300 open-source algorithms, custom SPL commands, and guided Assistants for model building. Users can analyze data, predict outcomes, and detect anomalies, streamlining the entire process within Splunk's interface.
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Top Splunk Machine Learning Toolkit Features
- Guided modeling dashboards
- Interactive use case examples
- Access to 300+ algorithms
- Extensibility API for algorithms
- Smart Assistants for analytics
- Experiment Management Framework
- New SPL commands for modeling
- Anomaly detection capabilities
- Custom visualizations for insights
- Model versioning and lineage
- Support for supervised learning
- Support for unsupervised learning
- Regression and classification modeling
- Forecasting future values
- Clustering similar data points
- Walk-through analytics process
- Integrated data ingestion
- Easy model validation commands
- Community sharing of algorithms.
