reclaim.derived_features package

reclaim.derived_features.feature_engineering_and_transformation module

reclaim.derived_features.feature_engineering_and_transformation.engineer_and_transform_features(df: DataFrame) → DataFrame

Engineer and transform features in reservoir/catchment dataset.

Features are first engineered in raw space (linear), then log-transformations are applied in a single pass to avoid double-logging.

Log-transformed columns are prefixed with log_ to clearly indicate their state.

Required input columns (abbreviations):

• CA, DCA, OBC, HGT, RA, RP, FL

• SA_mean, SA_mean_clip, SA_std, SA_kurt

• PAI, MAI, MAO, I_std, O_std, MAR

• OEY, BY, VGF, VLF

• Land cover: LCAS, LCC, LCG, LCT, LCS, LCHV, LCM, LCSV, LCBS, LCSG, LCWB

• COAR, SAND, NSSC2_mean