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meironz / Meiron_model

Ulva cultivation model - functions, notebooks, training, testing, statistics, visualization etc.
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what should be tested here and which notebook is necessary to create the figures #2

Open alexlib opened 2 years ago

alexlib commented 2 years ago

e.g. All_data.ipynb has a bug in 


data = [a,
                dy[(dy['System'] == 'Indoor')]['DGR'],
                dy[(dy['System'] == 'Outdoor_Porter')]['DGR']]

scp.posthoc_dunn(data, p_adjust = 'bonferroni')
meironz commented 2 years ago

I am not sure I understood the question. All_data.ipynb is old and not relevant for this paper. The best would be to have a zoom meeting so that I explain. In general - following Golberg's suggestion, we need to integrate two parameter calibration processes, which appear in the "brine" folder and in the "controlled conditions" folder into one code that finds the best parametric combination. Next, we apply this best parametric combination to the "reverse engineering" notebook in the "offshore" folder and find Next for each experiment, and last, we produce the offshore figures.

Again - lets have a meeting and decide together how to progress - I'll explain everything