# 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())'