Skip to content
View PMPAS's full-sized avatar

Block or report PMPAS

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
PMPAS/README.md

渐进式深度集成架构搜索算法研究

环境安装

进入到系统的目录下,使用pip –r install requirements.txt命令进行安装

快速开始

对于论文里的实验,主要是scripts目录下的各个文件运行产生的,该目录下的各个文件夹和文件包含了对集群实验的设置,其主要命令也是通过python –m xxx。下面以benchmarks目录下的bdas_cell.py文件的运行说明为例,具体的运行命令为:

python -m benchamarks.bdas_cell [-d 11] [-s DAG] [-K 8] [-C 8] [--cell_time_limit=120] [--model_time_limit=960] [--strategy=best]

# 其中-d 11指定数据集ID为11,-s DAG指定搜索空间为DAG,-K 8指定集束搜索参数为8,-C 8指定最大Cell数量为8,--cell_timme_limit=120指定每个Cell的最大运行时间为120,-- model_time_limit=960指定每个深度集成架构的运行时间为960秒,--strategy best指定每次保留最优的K个架构。

Popular repositories Loading

  1. PMPAS PMPAS Public

    Python