- Course overview
- Search within this course
- What is machine learning?
- ML in drug discovery: why now?
- ML in the drug discovery pipeline
- Hands-on with WEKA
- Identifying targets for cancer using gene expression profiles
- Other tools utilising ML or NLP for drug discovery
- Summary
- Your feedback
- Learn more
- References
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Knowledge Flow
The Knowledge Flow (Figure 6) is an interactive and graphical application to design a pipeline for automating data processing, model development, and visualisation tasks. In each step of the pipeline, you can define how the dataset is loaded, choose the dataset preprocessing tasks, select the classifiers, determine how models are visualised, and choose how results are reported. This application contains similar functions as those in WEKA Explorer, and it allows for processing data in batches or incrementally, and visualising models in each step of cross-validation.
