本文整理汇总了Python中disco.core.Job.params["fit_params"]方法的典型用法代码示例。如果您正苦于以下问题：Python Job.params["fit_params"]方法的具体用法？Python Job.params["fit_params"]怎么用？Python Job.params["fit_params"]使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类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个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: predict
# 需要导入模块: from disco.core import Job [as 别名]
# 或者: from disco.core.Job import params["fit_params"] [as 别名]
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)