agmodeling 0.9

Statistical modeling tools, to unify model creation and scoring based on python

Agmodeling

Statistical modeling tools, to unify model creation and scoring based on python

package agmodeling.setscoring implements a part of the SET method for comparing sensor output as described by :

An Evaluation Tool Kit of Air Quality 1 Micro-Sensing Units (Barak Fishbain1,Uri Lerner, Nuria Castell-Balaguer)

What’s New

• (2022/10) change the way to calculate NRMSE

• (2022/09) logging configuration added (v 0.8)

• (2022/09) introducing get_detailed_score() returning all coef (v 0.7)

  • move to python logger

• (2022/09) correction of warning after pandas version evolution (v 0.6)

• (2019/08) python 3 support (v 0.4)

• (2018/11) First version (v 0.3)

Dependencies

Agmodeling is written to be use with python 2.7 and python 3.6 It requires Pandas, numpy and scipy It requires Pandas:

pip install pandas
pip install numpy
pip install scipy

Installations

pip install agmodeling

Uses cases

You can run the whole demo inside the package

cd demo python .demo_SET_scoring.py Read excel data file : sample_data.xlsx containing 2568 data

Score IPI for PM25_RAW

Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI 0.492835 : 0.869434 : 0.639916 : 0.417968 : 0.575632 : 0.980010 :: 0.539488

Score IPI for PM25_MOD_QUAD

Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI 0.687539 : 0.374117 : 0.747821 : 0.524258 : 0.695786 : 0.980010 :: 0.710216

Score IPI for PM25_MOD_EARTH

Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI 0.648910 : 0.337527 : 0.800773 : 0.537126 : 0.713852 : 0.980010 :: 0.723857

Score IPI for PM10_RAW

Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI 0.486604 : 0.786641 : 0.454199 : 0.269705 : 0.393423 : 0.990388 :: 0.467946

Score IPI for PM10_MOD_QUAD

Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI 0.742056 : 0.221220 : 0.866073 : 0.612143 : 0.789426 : 0.990388 :: 0.796478

Score IPI for PM10_MOD_EARTH

Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI 0.763240 : 0.184250 : 0.909195 : 0.657553 : 0.832455 : 0.990388 :: 0.828097

Results : “ RAW MOD_QUAD MOD_EARTH PM10 0.467946 0.796478 0.828097 PM25 0.539488 0.710216 0.723857”

Fin du programme