# Import python package
imports:
    preprocessing.aux:
        - DelayPreds
        - SubSample
        - NoneTransformer
    sklearn.linear_model:
        - LogisticRegression
    sklearn.preprocessing:
        - PolynomialFeatures

# Meta variables
Meta:
  file: 'CovsAlex_35Hz_500pts_poly'
  cores: 6
  subsample: 10
  subsample_test: 1
  cachePreprocessed: False
  addPreprocessed:
      - 'CovsAlex_35Hz_500pts'

# preprocessing functions receive arguments: X, y(only for train)
Preprocessing:
    - NoneTransformer:

PostPreprocessing:
    - SubSample:
        subsample: 1
    - PolynomialFeatures:
       degree: 2
    - DelayPreds:
        delay: 1000 / subsample
        skip: 50 / subsample

Models:
  - '("lr",LogisticRegression())'