Example Machine Learning Workflow¶
Training a Model¶
- Selecting target properties for prediction
- Generating and gathering the training data set
- Cleaning the data to prepare it for training
- Transforming the data through scaling, etc.
- Selecting the best features to base the model upon
- Training the Machine Learning model
- Train model as explained in the previous section
- Predicting new properties from the trained model
The user is referred to the tutorial section on machine learning for more detailed information on the above steps.