本文整理匯總了Python中fireworks.LaunchPad.from_dict方法的典型用法代碼示例。如果您正苦於以下問題：Python LaunchPad.from_dict方法的具體用法？Python LaunchPad.from_dict怎麽用？Python LaunchPad.from_dict使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類fireworks.LaunchPad的用法示例。
在下文中一共展示了LaunchPad.from_dict方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: __init__
# 需要導入模塊: from fireworks import LaunchPad [as 別名]
# 或者: from fireworks.LaunchPad import from_dict [as 別名]
def __init__(self, *args, **kwargs):
super(OptTask, self).__init__(*args, **kwargs)
# Configuration attrs
lp = self.get("launchpad", LaunchPad.auto_load())
if isinstance(lp, LaunchPad):
lp = lp.to_dict()
self.lpad = LaunchPad.from_dict(lp)
self.opt_label = self.get("opt_label", "opt_default")
self.c = getattr(self.lpad.db, self.opt_label)
self.config = self.c.find_one({"doctype": "config"})
if self.config is None:
raise NotConfiguredError("Please use MissionControl().configure to "
"configure the optimization database "
"({} - {}) before running OptTask."
"".format(self.lpad.db, self.opt_label))
self.wf_creator = deserialize(self.config["wf_creator"])
self.x_dims = self.config["dimensions"]
self._xdim_types = self.config["dim_types"]
self.is_discrete_all = self.config["is_discrete_all"]
self.is_discrete_any = self.config["is_discrete_any"]
self.wf_creator_args = self.config["wf_creator_args"] or []
self.wf_creator_kwargs = self.config["wf_creator_kwargs"] or {}
self.predictor = self.config["predictor"]
self.predictor_args = self.config["predictor_args"] or []
self.predictor_kwargs = self.config["predictor_kwargs"] or {}
self.maximize = self.config["maximize"]
self.n_search_pts = self.config["n_search_pts"]
self.n_train_pts = self.config["n_train_pts"]
self.n_bootstraps = self.config["n_bootstraps"]
self.acq = self.config["acq"]
self.space_file = self.config["space_file"]
self.onehot_categorical = self.config["onehot_categorical"]
self.duplicate_check = self.config["duplicate_check"]
self.get_z = self.config["get_z"]
if self.get_z:
self.get_z = deserialize(self.config['get_z'])
else:
self.get_z = lambda *ars, **kws: []
self.get_z_args = self.config["get_z_args"] or []
self.get_z_kwargs = self.config["get_z_kwargs"] or {}
self.z_file = self.config["z_file"]
self.enforce_sequential = self.config["enforce_sequential"]
self.tolerances = self.config["tolerances"]
self.batch_size = self.config["batch_size"]
self.timeout = self.config["timeout"]
# Declared attrs
self.n_objs = None
plist = [RandomForestRegressor, GaussianProcessRegressor,
ExtraTreesRegressor, GradientBoostingRegressor]
self.builtin_predictors = {p.__name__: p for p in plist}
self._n_cats = 0
self._encoding_info = []
# Query formats
self._completed = {'x': {'$exists': 1}, 'y': {'$exists': 1,
'$ne': 'reserved'},
'z': {'$exists': 1}}
self._manager = {'lock': {'$exists': 1}, 'queue': {'$exists': 1}}示例2: test_dict_from_file
# 需要導入模塊: from fireworks import LaunchPad [as 別名]
# 或者: from fireworks.LaunchPad import from_dict [as 別名]
def test_dict_from_file(self):
lp = LaunchPad.from_file(self.LP_LOC)
lp_dict = lp.to_dict()
new_lp = LaunchPad.from_dict(lp_dict)
self.assertIsInstance(new_lp, LaunchPad)示例3: open
# 需要導入模塊: from fireworks import LaunchPad [as 別名]
# 或者: from fireworks.LaunchPad import from_dict [as 別名]
from fireworks.core.firework import FireTaskBase
from fireworks.scripts.rlaunch_run import launch_multiprocess
from fireworks.utilities.fw_utilities import explicit_serialize
from fw_tutorials.firetask.addition_task import AdditionTask
from rocketsled import OptTask, MissionControl
from rocketsled.utils import ExhaustedSpaceError
__author__ = "Alexander Dunn"
__email__ = "[email protected]"
lp_filedir = os.path.dirname(os.path.realpath(__file__))
with open(lp_filedir + '/tests_launchpad.yaml', 'r') as lp_file:
yaml = YAML()
lp_dict = dict(yaml.load(lp_file))
launchpad = LaunchPad.from_dict(lp_dict)
opt_label = "test"
db_info = {"launchpad": launchpad, "opt_label": opt_label}
test_db_name = launchpad.db
common_kwargs = {"predictor": "RandomForestRegressor", "acq": None}
@explicit_serialize
class BasicTestTask(FireTaskBase):
_fw_name = "BasicTestTask"
def run_task(self, fw_spec):
x = fw_spec['_x']
y = np.sum(x[:-1]) # sum all except the final string element
return FWAction(update_spec={'_y': y})