Respond to Alden’s email done
GOES
- Status report! Done!
- Create a new class based on utils/ScriptReaderScratch that uses the the code from least_squares_rotations.py to create data for training
- Attend the GSAW welcome and overview at 11:50 – missed it
- Create a more generic generator based on timeseriesML2\generators that will create a numpy ndarray of n-dimensional times series data. Could also use a Dataframe and have labels.
- Randomized start, within a range
- Adjustable noise
- Adjustable time step
- Different function for each row
- Input file driven
- Saves to csv (with a header that describes the data?) or an excel file for humans. Use the to_excel() code from EccoToXlsx for this
GPT Agents
- Run an Ecco experiment and create spreadsheets using the chess data – done
- After that, back up the gpt_experiments and commit to svn – done
- Make sure that the following are on the laptop for the 3:00 Meeting -done
- updated gpt_experiments
- small_feb2021
- Uploading trained models to svn. When the last one is done, zip the whole batch and put it on DropBox
- I think I know how to contribute to a project that I am not a member. I need to clone the project to my repo and work on that version. When I’m at a state that I like, then I can do a pull request. That means there are going to be one version of the source project in External and my branch in Sandboxes
viztales 