czagoni / darkgreybox Goto Github PK
View Code? Open in Web Editor NEWDarkGreyBox: An open-source data-driven python building thermal model inspired by Genetic Algorithms and Machine Learning
License: MIT License
DarkGreyBox: An open-source data-driven python building thermal model inspired by Genetic Algorithms and Machine Learning
License: MIT License
i think thait in line [17], the "4" index should be 10
plot(y_test, df.loc[4, ('test', 'model_result')], 'Ti (Test)') -> plot(y_test, df.loc[10, ('test', 'model_result')], 'Ti (Test)')
When i call df.loc[4], a TiTeThRia its called instead of a "ti" model
Hi,
Thank you for the very interesting library. However, I cannot run the tutorials after pip installing the package (both the dev branch and otherwise) as it crashes with the following message:
No module named 'darkgreybox.models'
I was able to reproduce the issue on two independent machines so it seems there is a problem with the package. Can you please take a look?
Thanks!
It should be input_df
instead in all tutorials
Not really an "issue" per se - just wanted some clarification based on the tutorials.
In the tutorial docs, it is stated that Ch and Rih is precalculated on the data. How is the calculation done? Based on the data in demo_data.csv how is the time constant for the Ch and Rih calculated?
Not calculating these values, and setting the parameters to vary yields some very skewed results.
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