def objective(space):
#This function will be unpickled by hyperopt and we need to reimport everythinng for it to work
import time
from hyperopt import STATUS_OK, STATUS_FAIL
import random
import sys
import launch
import evaluate_forget
import math
import os
from hyperopt_tests.support.launch_cartpole import launch_cartpole
import hyperopt_tests
os.path.dirname(hyperopt_tests.__file__)
#we cheat to get the directory of the parameters file. we find the directory of the hyperopt_tests import
cwd = os.path.dirname(hyperopt_tests.__file__)
paramsfile_relative = '../params/cartpole_nn_hyperopt_params.py'
paramsfile = os.path.abspath(os.path.join(cwd, paramsfile_relative))
params = space
#since hyperopt is ran from somewhere else, set the results directory correctly for saving results
params['results_dir'] = os.path.abspath(os.path.join(cwd,
'../results/')) + '/'
#set any parameteers here to override the parameters in the params file
params['simname'] = 'cartpole_hyperopt_nn_initialtest1'
#Give each run a random unique identifier for the version. This allows us to locate any saved results via a signature in the filename
rnd_str = '_'
for i in range(12):
rnd_str += random.choice('ABCDEFGHIJKLMNOPQRSTUVWXYZ')
params['version'] = rnd_str
t = time.time()
#TODO? Maybe catch exceptions and set status to failed if the occur?
#try:
(obj, argmin) = launch_cartpole(paramsfile, params)
print('obj: ' + str(obj) + ' argmin: ' + str(argmin))
return {
'loss': obj,
'argmin': str(argmin),
'status': STATUS_OK,
'eval_time': str(time.time() - t),
'rnd_str': rnd_str
#any additional logging goes here
# 'attachments':
# {'stdout' : str(stdout),
# 'stderr' : str(stderr),
# 'params' : str(params)}
}
def objective(space):
#This function will be unpickled by hyperopt and we need to reimport everythinng for it to work
import time
from hyperopt import STATUS_OK, STATUS_FAIL
import random
import sys
import launch
import evaluate_forget
import math
import os
from hyperopt_tests.support.launch_cartpole import launch_cartpole
import hyperopt_tests
os.path.dirname(hyperopt_tests.__file__)
#we cheat to get the directory of the parameters file. we find the directory of the hyperopt_tests import
cwd = os.path.dirname(hyperopt_tests.__file__)
paramsfile_relative = '../params/cartpole_nn_hyperopt_params.py'
paramsfile = os.path.abspath(os.path.join(cwd,paramsfile_relative))
params = space
#since hyperopt is ran from somewhere else, set the results directory correctly for saving results
params['results_dir'] = os.path.abspath(os.path.join(cwd,'../results/')) + '/'
#set any parameteers here to override the parameters in the params file
params['simname'] = 'cartpole_hyperopt_nn_initialtest3'
#Give each run a random unique identifier for the version. This allows us to locate any saved results via a signature in the filename
rnd_str = '_'
for i in range(12):
rnd_str += random.choice('ABCDEFGHIJKLMNOPQRSTUVWXYZ')
params['version'] = rnd_str
t = time.time()
#TODO? Maybe catch exceptions and set status to failed if the occur?
#try:
(obj,argmin) = launch_cartpole(paramsfile,params)
print('obj: ' + str(obj) + ' argmin: ' + str(argmin))
return {
'loss' : obj,
'argmin' : str(argmin),
'status' : STATUS_OK,
'eval_time': str(time.time() - t),
'rnd_str' : rnd_str
#any additional logging goes here
# 'attachments':
# {'stdout' : str(stdout),
# 'stderr' : str(stderr),
# 'params' : str(params)}
}
def objective(space):
# This function will be unpickled by hyperopt and we need to reimport everythinng for it to work
import time
from hyperopt import STATUS_OK, STATUS_FAIL
import random
import sys
import math
import os
from hyperopt_tests.support.launch_cartpole import launch_cartpole
import hyperopt_tests
os.path.dirname(hyperopt_tests.__file__)
# we cheat to get the directory of the parameters file. we find the directory of the hyperopt_tests import
cwd = os.path.dirname(hyperopt_tests.__file__)
paramsfile_relative = "../params/cartpole_nn_clusterfunc_hyperopt_params.py"
paramsfile = os.path.abspath(os.path.join(cwd, paramsfile_relative))
params = space
# since hyperopt is ran from somewhere else, set the results directory correctly for saving results
params["results_dir"] = os.path.abspath(os.path.join(cwd, "../newton_results/")) + "/"
# set any parameteers here to override the parameters in the params file
params["simname"] = "cartpole_hyperopt_nn_clustertest_again"
# Give each run a random unique identifier for the version. This allows us to locate any saved results via a signature in the filename
rnd_str = "_"
for i in range(12):
rnd_str += random.choice("ABCDEFGHIJKLMNOPQRSTUVWXYZ")
params["version"] = rnd_str
t = time.time()
# TODO? Maybe catch exceptions and set status to failed if the occur?
# try:
(obj, argmin) = launch_cartpole(paramsfile, params)
print("obj: " + str(obj) + " argmin: " + str(argmin))
return {
"loss": obj,
"argmin": str(argmin),
"status": STATUS_OK,
"eval_time": str(time.time() - t),
"rnd_str": rnd_str
# any additional logging goes here
# 'attachments':
# {'stdout' : str(stdout),
# 'stderr' : str(stderr),
# 'params' : str(params)}
}