ML_AI_training/pnca_config.py
2022-05-29 07:01:34 +01:00

59 lines
1.6 KiB
Python
Executable file

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat May 28 05:25:30 2022
@author: tanu
"""
import os
gene = 'pncA'
drug = 'pyrazinamide'
#total_mtblineage_u = 8
homedir = os.path.expanduser("~")
os.chdir( homedir + '/git/ML_AI_training/')
from UQ_ML_data import *
setvars(gene,drug)
from UQ_ML_data import *
# from YC run_all_ML: run locally
from UQ_MultModelsCl import MultModelsCl
print('\n#####################################################################\n')
print('TESTING cmd:'
, '\nGene name:', gene
, '\nDrug name:', drug
, '\nTotal input features:', X.shape
, '\n', Counter(y))
print('Strucutral features (n):'
, len(common_cols_stabiltyN) + len(foldX_cols) + len(X_strFN)
, '\nThese are:'
, '\nCommon stablity features:', common_cols_stabiltyN
, '\nFoldX columns:', foldX_cols
, '\nOther struc columns:', X_strFN
, '\n================================================================\n')
print('Evolutionary features (n):'
, len(X_evolFN)
, '\nThese are:\n'
, X_evolFN
, '\n================================================================\n')
print('Genomic features (n):'
, len(X_genomicFN)
, '\nThese are:\n'
, X_genomic_mafor, '\n'
, X_genomic_linegae
, '\n================================================================\n')
print('Categorical features (n):'
, len(categorical_FN)
, '\nThese are:\n'
, categorical_FN
, '\n================================================================\n')
print('\n#####################################################################\n')