本文整理匯總了Python中disco.core.Job.params["coeff"]方法的典型用法代碼示例。如果您正苦於以下問題：Python Job.params["coeff"]方法的具體用法？Python Job.params["coeff"]怎麽用？Python Job.params["coeff"]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disco.core.Job的用法示例。
在下文中一共展示了Job.params["coeff"]方法的1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: predict
# 需要導入模塊: from disco.core import Job [as 別名]
# 或者: from disco.core.Job import params["coeff"] [as 別名]
def predict(dataset, fitmodel_url, coeff=0.5, save_results=True, show=False):
from disco.worker.pipeline.worker import Worker, Stage
from disco.core import Job, result_iterator
import discomll
path = "/".join(discomll.__file__.split("/")[:-1] + ["ensemble", "core", ""])
job = Job(worker=Worker(save_results=save_results))
job.pipeline = [
("split", Stage("map", input_chain=dataset.params["input_chain"], init=simple_init, process=map_predict))]
if "dwfr_fitmodel" not in fitmodel_url:
raise Exception("Incorrect fit model.")
try:
coeff = float(coeff)
if coeff < 0:
raise Exception("Parameter coeff should be greater than 0.")
except ValueError:
raise Exception("Parameter coeff should be numerical.")
job.params = dataset.params
job.params["coeff"] = coeff
for k, v in result_iterator(fitmodel_url["dwfr_fitmodel"]):
job.params[k] = v
if len(job.params["forest"]) == 0:
print "Warning: There is no decision trees in forest"
return []
job.run(name="distributed_weighted_forest_rand_predict", input=dataset.params["data_tag"],
required_files=[path + "decision_tree.py"])
return job.wait(show=show)