Python OptAlg.OptAlg примеры использования

Пример #1

from algos import OptAlg

from models import LPMC_DC

data_folder = '../../../data/'

if __name__ == "__main__":

    if not os.path.exists('./results'):
        os.makedirs('./results')

    print("Train LPMC_DC_L with LS-ABS and hybrid-inv")

    model = LPMC_DC(data_folder, file='12_13_14.csv')

    ioa = OptAlg(alg_type='LS-ABS', direction='hybrid-inv')

    res = {'time': [], 'LL': [], 'epochs': []}

    for i in range(20):

        tmp = model.optimize(
            ioa, **{
                'verbose': False,
                'max_epochs': 1000,
                'batch': 1000
            })

        res['time'].append(tmp['opti_time'])
        res['LL'].append(tmp['fun'])
        res['epochs'].append(tmp['nep'])

Пример #2

Файл: TR-ABS_bfgs.py Проект: glederrey/HAMABS

from algos import OptAlg

from models import LPMC_RR

data_folder = '../../../data/'

if __name__ == "__main__":

    if not os.path.exists('./results'):
        os.makedirs('./results')

    print("Train LPMC_RR_L with TR-ABS and bfgs")

    model = LPMC_RR(data_folder, file='12_13_14.csv')

    ioa = OptAlg(alg_type='TR-ABS', direction='bfgs')

    res = {'time': [], 'LL': [], 'epochs': []}

    for i in range(20):

        tmp = model.optimize(
            ioa, **{
                'verbose': False,
                'max_epochs': 1000,
                'batch': 1000
            })

        res['time'].append(tmp['opti_time'])
        res['LL'].append(tmp['fun'])
        res['epochs'].append(tmp['nep'])

Пример #3

from algos import OptAlg

from models import LPMC_RR

data_folder = '../../../data/'

if __name__ == "__main__":

    if not os.path.exists('./results'):
        os.makedirs('./results')

    print("Train LPMC_RR_L with LS-ABS and grad")

    model = LPMC_RR(data_folder, file='12_13_14.csv')

    ioa = OptAlg(alg_type='LS-ABS', direction='grad')

    res = {'time': [], 'LL': [], 'epochs': []}

    for i in range(20):

        tmp = model.optimize(
            ioa, **{
                'verbose': False,
                'max_epochs': 1000,
                'batch': 1000
            })

        res['time'].append(tmp['opti_time'])
        res['LL'].append(tmp['fun'])
        res['epochs'].append(tmp['nep'])

Пример #4

Файл: LS-ABS_hess.py Проект: glederrey/HAMABS

from algos import OptAlg

from models import LPMC_Full

data_folder = '../../../data/'

if __name__ == "__main__":

    if not os.path.exists('./results'):
        os.makedirs('./results')

    print("Train LPMC_Full_L with LS-ABS and hess")

    model = LPMC_Full(data_folder, file='12_13_14.csv')

    ioa = OptAlg(alg_type='LS-ABS', direction='hess')

    res = {'time': [], 'LL': [], 'epochs': []}

    for i in range(20):

        tmp = model.optimize(
            ioa, **{
                'verbose': False,
                'max_epochs': 1000,
                'batch': 1000
            })

        res['time'].append(tmp['opti_time'])
        res['LL'].append(tmp['fun'])
        res['epochs'].append(tmp['nep'])

Пример #5

Файл: LS-ABS_bfgs-inv.py Проект: glederrey/HAMABS

from algos import OptAlg

from models import LPMC_RR

data_folder = '../../../data/'

if __name__ == "__main__":

    if not os.path.exists('./results'):
        os.makedirs('./results')

    print("Train LPMC_RR_L with LS-ABS and bfgs-inv")

    model = LPMC_RR(data_folder, file='12_13_14.csv')

    ioa = OptAlg(alg_type='LS-ABS', direction='bfgs-inv')

    res = {'time': [], 'LL': [], 'epochs': []}

    for i in range(20):

        tmp = model.optimize(
            ioa, **{
                'verbose': False,
                'max_epochs': 1000,
                'batch': 1000
            })

        res['time'].append(tmp['opti_time'])
        res['LL'].append(tmp['fun'])
        res['epochs'].append(tmp['nep'])

Пример #6

Файл: TR-ABS_hybrid.py Проект: glederrey/HAMABS

from algos import OptAlg

from models import MTMC

data_folder = '../../../data/'

if __name__ == "__main__":

    if not os.path.exists('./results'):
        os.makedirs('./results')

    print("Train MTMC with TR-ABS and hybrid")

    model = MTMC(data_folder)

    ioa = OptAlg(alg_type='TR-ABS', direction='hybrid')

    res = {'time': [], 'LL': [], 'epochs': []}

    for i in range(20):

        tmp = model.optimize(
            ioa, **{
                'verbose': False,
                'max_epochs': 1000,
                'batch': 1000
            })

        res['time'].append(tmp['opti_time'])
        res['LL'].append(tmp['fun'])
        res['epochs'].append(tmp['nep'])

Пример #7

from algos import OptAlg

from models import LPMC_RR

data_folder = '../../../data/'

if __name__ == "__main__":

    if not os.path.exists('./results'):
        os.makedirs('./results')

    print("Train LPMC_RR_L with TR and hess")

    model = LPMC_RR(data_folder, file='12_13_14.csv')

    ioa = OptAlg(alg_type='TR', direction='hess')

    res = {'time': [], 'LL': [], 'epochs': []}

    for i in range(20):

        tmp = model.optimize(
            ioa, **{
                'verbose': False,
                'max_epochs': 1000,
                'batch': 1000
            })

        res['time'].append(tmp['opti_time'])
        res['LL'].append(tmp['fun'])
        res['epochs'].append(tmp['nep'])

Пример #8

from algos import OptAlg

from models import LPMC_RR

data_folder = '../../../data/'

if __name__ == "__main__":

    if not os.path.exists('./results'):
        os.makedirs('./results')

    print("Train LPMC_RR_M with LS and bfgs")

    model = LPMC_RR(data_folder)

    ioa = OptAlg(alg_type='LS', direction='bfgs')

    res = {'time': [], 'LL': [], 'epochs': []}

    for i in range(20):

        tmp = model.optimize(
            ioa, **{
                'verbose': False,
                'max_epochs': 1000,
                'batch': 1000
            })

        res['time'].append(tmp['opti_time'])
        res['LL'].append(tmp['fun'])
        res['epochs'].append(tmp['nep'])