本文整理匯總了Python中disco.core.Job.params["fit_params"]方法的典型用法代碼示例。如果您正苦於以下問題:Python Job.params["fit_params"]方法的具體用法?Python Job.params["fit_params"]怎麽用?Python Job.params["fit_params"]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["fit_params"]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["fit_params"] [as 別名]
def predict(dataset, fitmodel_url, save_results=True, show=False):
"""
Function starts a job that makes predictions to input data with a given model.
Parameters
----------
input - dataset object with input urls and other parameters
fitmodel_url - model created in fit phase
save_results - save results to ddfs
show - show info about job execution
Returns
-------
Urls with predictions on ddfs
"""
from disco.worker.pipeline.worker import Worker, Stage
from disco.core import Job, result_iterator
if "linsvm_fitmodel" not in fitmodel_url:
raise Exception("Incorrect fit model.")
job = Job(worker=Worker(save_results=save_results))
# job parallelizes execution of mappers
job.pipeline = [
("split", Stage("map", input_chain=dataset.params["input_chain"], init=simple_init, process=map_predict))]
job.params = dataset.params
job.params["fit_params"] = [v for _, v in result_iterator(fitmodel_url["linsvm_fitmodel"])][0]
job.run(name="linsvm_predict", input=dataset.params["data_tag"])
return job.wait(show=show)