LP-Tuning/hyperpar_tune.py

import json
import os
import git
from dagshub import DAGsHubLogger


logger = DAGsHubLogger()




desk = [50,60]
cell = [40,80]
obj_cof_0 = [20,40]
obj_cof_1 = [50,70]
json_par_filename = 'pars.json'
dir_path = os.path.dirname(os.path.realpath(__file__))
par_file_path = os.path.join(dir_path,json_par_filename)
repo = git.Repo(dir_path)


for obj_elements_0 in obj_cof_0:
    for obj_elements_1 in obj_cof_0:
        par_dict = {}
        par_dict['desk'] = 100
        par_dict['cell'] = 80
        par_dict['obj_cof_0'] = obj_elements_0
        par_dict['obj_cof_1'] = obj_elements_1
        par_dict['Labels'] = "Testing a model with LP solver"
        logger.log_hyperparams(obj_cof_1=obj_elements_0)
        logger.log_hyperparams(obj_cof_1=obj_elements_1)
        logger.log_metrics({'element_a': obj_elements_0, 'element_b' : obj_elements_1, 'Label' : "Testing a model with LP solver" }, objective=100)
        
        commit_string = "Test Logger Commit for {} a and {} b".format(obj_elements_0,obj_elements_1)
        os.system('dvc status')
        repo.git.add(par_file_path)
        repo.git.commit('-m', commit_string)
        os.system('dvc repro simulation.dvc')