Open juanramonua opened 1 year ago
Long-term we might want to introduce **params
argument to fit()
that we'll pass to LeapHybridCQMSampler()
, initializing it on construction.
But as a quick fix, for now, you can leverage environment variables to configure Ocean. In particular, you can set the token via DWAVE_API_TOKEN
:
import os
os.environ['DWAVE_API_TOKEN'] = '<token>'
...
SelectFromQuadraticModel(num_features=20).fit_transform(X_tmp.values, y.values)
However, you should never store your secrets/tokens in your code, or commit them.
Instead, on Google Colab, you could use something like colab-env to pull and initialize env vars from your Google Drive.
On Jupyter, depending on your environment/setup, you can set/expose DWAVE_API_TOKEN
either in your shell, or container, or similar.
D-wave system functions have a parameter called 'token' to pass it. But I don't know how pass this parameter to run the simple example of this web with
SelectFromQuadraticModel(num_features=20).fit_transform(X_tmp.values, y.values)
Regards,