What’s New in Version 2.0?
- Heatmap and Image Plotting
- New Preprocessing Methods:
- Apply Weighting, Offset and Scaler weighting to selected variables.
- Class Centring, Poisson Scaling, Pareto Scaling
These methods are excellent for scaling instruments that generate count data
- New Analysis Methods: Machine Learning Made Easy !
- Support Vector Machine Regression and Classification
- Extreme Gradient Boosting Regression and Classification
Interactive model setup and controls make it the easiest implementation of these methods in a software package !
- Compression Methods: Use PCA and PLSR Model Scores as inputs into MLR, SVM and XGBoost Methods.
- General Improvements
- Guided Wave (.json) file import.
- Improved Application of Preprocessing Templates when compiling an Analysis method.
- Customised Analysis Plot Layout Templates.
- Audit Trails can be saved in PDF format.
- Class Variables can be applied to Prediction data.
- Axis formatting added to all Analysis plots