Effect of prior work (stress score, heart rate, w'bal etc) on MMP and and model parameter estimates.The data set requirement would be 180 days of power files with a rolling 14 day average of at least 3 power files (ie a week off wouldn't be an exclusion but several weeks off would). Effect of data inclusion window (30 days, 60 days, 90 days, 120 days, etc) on MMP and model parameter estimates.Īgain, it would be able to pull data sets by a season or year.Demographic information such as age, sex, height, weight, competitive category etc would also be helpful but not a requirement. The data set requirement would be at least 50 (or some other arbitrarily high number) of power files that are at least 1 hour long. Effect of MMP time range (min, max, mean, median) used for model fitting on the CP model and 3-parameter models parameter estimates.įor this project, I would want to be able to pull data sets by a season or year.Instead I will share a couple of projects that I would like to attempt with this data and what I would need to know about the data set in order to include or exclude it. I don't really have the background to know what features would be best for the library.
#GOLDENCHEETAH 1 MIN MAX FOR ACTIVITY HOW TO#
Tool to make running computations on large amounts of activities easier: Not sure how to do this yet but with the amount of data that's already in OpenData it's impossible to have it all in memory so some clever batch-processing is needed there and I think some tooling might help there and has it's place in this library.
I propose to use a pandas.DataFrame for this. Should return the activities in a general purpose data format.Tool to selectively download data: Only download a specific athlete, or only athletes with specific data types, date ranges, amounts of data, etc.I propose to create a metadata file in the root of this repo that is updated every once in a while to reflect new/changed files in the OSF directory. View metadata of all athletes: currently the metadata lives in the blob for each athlete so you need to download all the data to view it.Before I spend more time on polishing it I'd like some input on what the library should look like.įeatures I would like to have in the library: It's far from finished (it only sort of works for my use-case now) but I would like to share it and putting in this repository makes sense.
#GOLDENCHEETAH 1 MIN MAX FOR ACTIVITY CODE#
I am working on some Python code to make working with OpenData easier.
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