# Import python package
imports:
    preprocessing.filterBank:
        - FilterBank
    preprocessing.aux:
        - SubSample
        - DelayPreds
    sklearn.linear_model:
        - LogisticRegression
    sklearn.preprocessing:
        - StandardScaler
        - Normalizer
    sklearn.lda:
        - LDA

# Meta variables
Meta:
  file: 'FBLC_256pts_alex2'
  cores: 6
  subsample: 10
  subsample_test: 1
  cachePreprocessed: False
  addPreprocessed:
      - 'CovsAlex_35Hz_500pts'

# preprocessing functions receive arguments: X, y(only for train)
Preprocessing:
  - FilterBank:
      filters: "'LowpassBank'"
  - SubSample:
      subsample: subsample

Models:
  - '("l1",Normalizer(norm="l1")),("lr",LogisticRegression())'
  - '("l2",Normalizer(norm="l2")),("lr",LogisticRegression())'
  - '("sc",StandardScaler()),("lr",LogisticRegression())'
  - '("lda",LDA())'
  - '("l1",Normalizer(norm="l1")),("lda",LDA())'