D20

• Really have to fix the trending. Places like Brazil, where the disease is likely to be chronic, are not working any more
• Aaron and I agree if the site’s not updated by 5/15 to pull it down

GPT-2 Agents

• More PGNtoEnglish
• Worked out way to search for pieces in a rules-based range. It’ll work for pawns, knights, and kings right now. Will need to add rooks, bishops and queens

#COVID

• Try finetuning the model on Arabic to see what happens. Don’t see the txt files?

GOES

• The time taken for all the DB calls is substantial. I need to change the Measurements class so that there is a set of master Measurements that are big enough to subsample other Measurements from. Done. Much faster!
• Start building noise query, possibly using a high pass filter? Otherwise, subtract the “real” signal from the simulated one
  • Starting with the subtraction, since I have to set up queries anyway, and this will help me debug them
  • Created NoiseGAN class that extends OneDGAN
  • Pulling over table building code from InfluxTestTrainBase()
  • Success!

  • "D:\Program Files\Python37\python.exe" D:/Development/Sandboxes/Influx2_ML/Influx2_ML/NoiseGAN.py
    2020-05-08 14:45:36.077292: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
    OneDGAN.reset()
    NoiseGAN.reset()
    query = from(bucket:"org_1_bucket") |> range(start:2020-04-13T13:30:00Z, stop:2020-04-13T13:40:00Z) |> filter(fn:(r) => r.type == "noisy_sin" and (r.period == "8"))
    vector size = 100, query returns = 590

  • Probably a good place to stop for the day
• 10:00 Meeting. Vadim seems to be making good progress. Check in on Tuesday