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metbit.lazy_opls_da

Analysis and models module in metbit 4.4.1.

import metbit.lazy_opls_da

Classes

lazy_opls_da

Methods

__init__(self, data: pd.DataFrame, groups: list, working_dir: str, n_components: int=2, scaling: str='pareto', estimator: str='opls', kfold: int=3, random_state: int=94, auto_ncomp: bool=True, permutation: bool=True, VIP: bool=True, linear_regression: bool=True)
fit(self, marker_color: dict=None, custom_color: list=None, custom_shape: list=None, symbol_dict: dict=None)

Source

metbit/lazy_opls_da.py at v4.4.1
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metbit 4.4.1 documentation