Python Teeport.run_processorの例

コード例 #1

import numpy as np
import nest_asyncio
nest_asyncio.apply()
import asyncio
from functools import partial

from teeport import Teeport
from opt.processors.gps_predictor import process

params = dict(theta=np.array([[0.4]]),
              var='auto',
              sigma_n=np.array([[1e-4]]),
              C=1e9)

teeport = Teeport('ws://lambda-sp3:8090/')
teeport.run_processor(partial(process, params=params), 'GPS Predictor: no opt')
print('processor is running...')

loop = asyncio.get_event_loop()
loop.run_until_complete(teeport.processors[0].task)

コード例 #2

ファイル: run_gpy_predictor_opt.py プロジェクト: SPEAR3-ML/teeport-plugins

import numpy as np
import nest_asyncio
nest_asyncio.apply()
import asyncio
from functools import partial

from teeport import Teeport
from opt.processors.gpy_predictor import process

teeport = Teeport('ws://lambda-sp3:8090/')
teeport.run_processor(partial(process, configs={}), 'GPy Predictor')
print('processor is running...')

loop = asyncio.get_event_loop()
loop.run_until_complete(teeport.processors[0].task)

コード例 #3

import nest_asyncio
nest_asyncio.apply()
import asyncio

from teeport import Teeport
from opt.processors.gpy_predictor import process

teeport = Teeport('ws://lambda-sp3:8090/')
teeport.run_processor(process,
                      'GPy-Pred',
                      name='GPy Predictor',
                      configs={
                          'theta': None,
                          'var': None,
                          'sigma_n': None,
                          'ret_grad': False
                      })
print('processor is running...')

loop = asyncio.get_event_loop()
loop.run_until_complete(teeport.processors[0].task)

コード例 #4

import numpy as np
import nest_asyncio
nest_asyncio.apply()
import asyncio
from functools import partial

from teeport import Teeport
from opt.processors.gpy_predictor import process

teeport = Teeport('ws://lambda-sp3:8090/')
teeport.run_processor(partial(process, configs={'ret_grad': True}),
                      'GPy Predictor with Grad')
print('processor is running...')

loop = asyncio.get_event_loop()
loop.run_until_complete(teeport.processors[0].task)