| Concept | Abbr. | Examples |
|---|---|---|
| Group | grp | |
| Dataset | ds | |
| DataFrame | df | |
| Continuous | cont | cont_feats |
| Categorical | cat | cat_feats |
| Feature | feat, f | feats |
| Target | targ, y | targ_feat |
| Index | idx | fold_idx |
| Weight | wgt, w | wgt_feat |
| Stratification | strat | strat_feat |
| Number | num, n | n_in |
| Plural | *s | folds |
| k-fold | kf | |
| Processing | proc | prco_event |
| Converting to something | to_* | to_cartesian |
| Convert between concepts | 2 | df2foldfile |
| Vector | vec, v | |
| Difference | delta, d | dphi |
| Absolute | abs | abs_mom |
| Abstract | abs | AbsCallback |
| Momentum | mom, p | abs_mom, px |
| Energy | e, E | |
| Missing transverse momentum | mpt | |
| Transverse mass | mt, mT | |
| Reference | ref | ref_vec |
| On/off, Boolean option | use_* | use_cartesian |
| value | val | default_vals |
| Calculation | calc | calc_pair_mass |
| Normalisation | norm | |
| Signal | sig, s | |
| Background | bkg, b | |
| Uncertainty | uncert, unc | |
| Systematic | syst | syst_unc_b |
| Prediction | pred | pred_name |
| Generator level | gen_* | gen_target |
| Minimum | min | min_events |
| Maximum | max | max_ams |
| Approximate Medean Significance | ams | |
| Progress | prog | show_prog |
| Size | sz | step_sz |
| Interpolation | interp | |
| Parameter | param | |
| Multiplicity | mult | cycle_mult |
| Increment | incr | incr_cycle |
| Number of minibatches | nb | |
| Learning rate | lr | |
| Iteration | iter | |
| Limit | lim | lim_y |
| Input | x, in | |
| Original | orig | orig_weights |
| Include | inc_* | inc_inputs |
| Coordinate | coord | |
| Augment | aug | |
| Argument | arg | snapshot_args |
| FoldYielder | fy | |
| Batch size | bs | |
| Evaluation | eval | |
| Progress bar | pb | |
| Multiprocessing | mp | mp_run |
| Feature importance | fi | |
| Temporary | tmp | |
| Bootstrap | bs | |
| Standard deviation | std | |
| Function | func | |
| Dropout | do | |
| Batch normalisation | bn | |
| Activation | act | |
| Residual | res | |
| Return as type | as_* | as_np |
| Numpy | np | |
| Pandas | pd | |
| Seaborn | sns | |
| Matplotlib.pyplot | plt | |
| Tensor | x | |
| Embedding | embed | |
| Class | cls | |
| Timer | tmr | fol_tmr |
| Random Forest | rf | |
| Percentage | perc | |
| Identification number | id | |
| Batch Yielder | by | |
| Shape | shp | (n_rows,n_cols) |