MLPro-Int-River - Integration of River into MLPro
Welcome to MLPro-Int-River, an extension to MLPro to integrate the River package. MLPro is a middleware framework for standardized machine learning in Python. It is developed by the South Westphalia University of Applied Sciences, Germany, and provides standards, templates, and processes for hybrid machine learning applications. River, in turn, provides numerous state-of-the-art algorithms for several topics of online machine learning.
MLPro-Int-River provides wrapper classes that enable the use of selected River functionalities in your MLPro applications. The use of these wrappers is illustrated in numerous example programs.
Preparation
Before running the examples, please install the latest versions of MLPro, River, and MLPro-Int-River as follows:
pip install mlpro-int-river[full] --upgrade
- See also
Example Pool
- Reuse of River Data Streams
- Reuse of River Cluster Analyzers
- Howto OA-CA-001: Run KMeans on static 2D point clouds
- Howto OA-CA-002: Run KMeans on dynamic 2D point clouds
- Howto OA-CA-003: Run KMeans on normalized static 2D point clouds
- Howto OA-CA-004: Run KMeans on normalized dynamic 2D point clouds
- Howto OA-CA-005: Run KMeans on static 3D point clouds
- Howto OA-CA-006: Run KMeans on dynamic 3D point clouds
- Howto OA-CA-007: Run KMeans on normalized static 3D point clouds
- Howto OA-CA-008: Run KMeans on normalized dynamic 3D point clouds
- Howto OA-CA-011: Run STREAMKMeans on static 2D point clouds
- Howto OA-CA-012: Run STREAMKMeans on dynamic 2D point clouds
- Howto OA-CA-013: Run STREAMKMeans on normalized static 2D point clouds
- Howto OA-CA-014: Run STREAMKMeans on normalized dynamic 2D point clouds
- Howto OA-CA-015: Run STREAMKMeans on static 3D point clouds
- Howto OA-CA-016: Run STREAMKMeans on dynamic 3D point clouds
- Howto OA-CA-017: Run STREAMKMeans on normalized static 3D point clouds
- Howto OA-CA-018: Run STREAMKMeans on normalized dynamic 3D point clouds
- Howto OA-CA-021: Run CluStream on static 2D point clouds
- Howto OA-CA-022: Run CluStream on dynamic 2D point clouds
API Reference