beckel / nilm-eval

NILM-EVAL: An evaluation framework for non-intrusive load monitoring algorithms
GNU General Public License v2.0
108 stars 50 forks source link

how to plot the result of "Weiss" demo with ECO? #3

Open balajikalluri opened 9 years ago

balajikalluri commented 9 years ago

Hi Beckel,

After running the experiment "Weiss_initial" some results are produced in this folder path... \GitHub\nilm-eval\Matlab\results\

in the form of .mat files for only households 1,2 & 4 (am not sure why it didn't produce for all 6 houses). Now I would like to visualize this by plotting them.

Your report says "user specify the plot's content in a YAML file named result.yaml in this location 'input/result.yaml' and execute the plotExperiment.m script" but I don't find this result.yaml file in my current working directory. Should this be written by me? or is there a sample file that I can input?

Pls clarify and advice.

Thanks. Balaji

beckel commented 9 years ago

Hi Balaji,

Sorry for late reply. I reworked the plotting mechanism and plots are not being created automatically (results/plots/weiss/…/). It is not fully tested yet, but it works at least for Weiss’ event detection algorithm. You can try it out. I will remove “results.yaml” from the documentation soon.

Best,

Christian

On 22 Feb 2015, at 10:53, K M Balaji notifications@github.com wrote:

Hi Beckel,

After running the experiment "Weiss_initial" some results are produced in this folder path... \GitHub\nilm-eval\Matlab\results\

in the form of .mat files for only households 1,2 & 4 (am not sure why it didn't produce for all 6 houses). Now I would like to visualize this by plotting them.

Your report says "user specify the plot's content in a YAML file named result.yaml in this location 'input/result.yaml' and execute the plotExperiment.m script" but I don't find this result.yaml file in my current working directory. Should this be written by me? or is there a sample file that I can input?

Pls clarify and advice.

Thanks. Balaji

— Reply to this email directly or view it on GitHub.