sklearned

Surrogate experiments

Experimental choices

1. Choose a skater from timemachines
2. Choose an optimizer from humpday
3. Choose an embedding from the cube into the space of keras models, such as keras_mostly_linear
4. Choose a search strategy and data augmentation strategy
5. Choose a forecast horizon k, such as k=1
6. Choose an input vector length, such as 80 or 160
7. Choose a subset of live data streams from stream listing
8. Run the skater to generate training data
9. Challenge the existing out-of-sample champion model

The names of experiment files indicate choices made.

M1

Maybe..

brew install cmake protobuf
pip3 install --pre -i https://pypi.anaconda.org/scipy-wheels-nightly/simple numpy
conda install -c apple tensorflow-deps
pip install tensorflow-macos
pip3 install onnx

There might be a really screwed up mess with protobuf. You might have to use the builder.py file from a different version. See this stack overflow question