agmodeling

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


License
LGPL-3.0
Install
pip install agmodeling==0.4

Documentation

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

  • (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

from agmodeling.scoring.set_method import get_IPI_score
import pandas as pd

file = u'sample_data.xlsx'
print (u'Read excel data file : %s'%file)
df = pd.read_excel(file)
ipi = get_IPI_score(df[u"PM10_REF"], df[u"PM10_MOD_EARTH"])

print ipi

 Match     : RMSE      : Pearson   : Kendall   : Spearman  : LFE        :: IPI
 0.763240  : 0.061937  : 0.909195  : 0.657553  : 0.832455  : 0.990418   :: 0.848801

 0.848801

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