Hi Frans,
Yes i do know about RSTAT but i have a model in python and as per the functions available in WebFOCUS.
1. Machine Learning (Python Based)
ANOMALY_IF - Isolation Forest Anomaly Detection
CLASSIFY_BLR - Binary Logical Regression
CLASSIFY_KNN - K Nearest Neighbors classification
CLASSIFY_RF - Random forest Classification
CLASSIFY_XGB - Extreme gradient boosting classification
REGRESS-KNN - K Nearest Neighbors Regression
REGRESS_POLY - Polynomial regression
REGRESS_RF - Random forest regression
REGRESS_XGB - Extreme gradient boosting regression
RUN_MODEL - Load and RUN ML model
RUN_MODEL2 - Load and RUN ML model (override predictors)
2. Statistical
CORRELATION - Correlation between two fields
MULTIREGRESS - multiple linear regression
KMEANS_CLUSTER - K means clustering
OUTLIER - Identify outliers
RESERVE - User R Script execution
PYTHON - Use Python function execution
STDDEV – Standard deviation
I specifically want to use RUN_MODEL and
RUN_MODEL2 which states that if a model is available in PYTHON we can directly run it inside WebFOCUS.
Webfocus 8.x
Windows
PDF,HTML,XLSX