HRMAn org wiki

Welcome to the HRMAn.org wiki on github!

Getting started

Quickstart: Create a folder "KNIME_Data" in Desktop. When done with steps below it will have 2 subfolders: 'GBP recruitment' and HRMAn

• Download newest 3.x version of Knime like 3.7.2 64-bit.
• Download ro "KNIME_Data" the newest HRMAn either as zip file, or using git:

mkdir ~/Desktop/KNIME_Data; cd ~/Desktop/KNIME_Data; git clone https://github.com/HRMAn-Org/HRMAn.git

• Optional for linux: Put in place ability to use cuda gpu the easy way: conda create tf-gpu tensorflow-gpu

• Download GBP_recruitment.zip and unzip to "KNIME_Data"

• Edit knime.ini and change increase memory by changing that line from Xmx=2048m to something like Xmx=6g for 6gig, as suggested at https://www.knime.com/blog/optimizing-knime-workflows-for-performance For example, if your computer has 8gig of ram, then I don't think you want to set it to 8g but 6g at most, or maybe only 4 or 5 gig. If your computer has 16 (or 32) gig ram, adjust proportionally: instead of 6g, use 12g (or 24g), etc. You get the idea ;-)