使用Python tpot配置njobs

Question

可以在代码中使用tpot配置njobs参数，而不是作为命令行参数传递吗？

阅读https://rhiever.github.io/tpot/using/州：

-njobs  NUM_JOBS    Any positive integer or -1  Number of CPUs for evaluating pipelines in parallel during the TPOT optimization process. 

Assigning this to -1 will use as many cores as available on the computer.

但如何在代码中配置此参数？

尝试：

TPOTClassifier(generations=5, verbosity=3,  config_dict='TPOT light' , NUM_JOBS = 4)  

返回错误：

TPOTClassifier(generations=5, verbosity=3,  config_dict='TPOT light' , NUM_JOBS = 4)
TypeError: __init__() got an unexpected keyword argument 'NUM_JOBS'

Answer 1

使用n_jobs参数：

实现

TPOTClassifier（代数= 5，详细程度= 3，config_dict =＆＃39; TPOT灯＆＃39;，n_jobs = 4）