BDI_Training
This directory contains 5 workflows.
M12_KNIME_API
M11 KNIME serving workflow = REST endpoint equivalent of m11_app.py /predict. Container Input (JSON) -> JSON to Table -> rename hour to Hour -> Model Reader […]
M12_train_save
M11 train-and-save: trains a KNIME Random Forest on the 5 pump features (temperature_c, temp_roll6_mean, temp_roll6_max, temp_delta, Hour) and writes the […]
M13_pipeline
KNIME side-by-side equivalent of m9x_train.py: chronological split, past-only feature engineering, Random Forest (class-weight balanced analog), […]