Source code for pyuoi.decomposition.base
import abc as _abc
from sklearn.linear_model._base import BaseEstimator
[docs]class AbstractDecompositionModel(BaseEstimator, metaclass=_abc.ABCMeta):
[docs] @_abc.abstractmethod
def fit(X):
"""Placeholder for fit. Subclasses should implement this method.
Fit the model with X.
Parameters
----------
X : array-like, shape (n_samples, n_features)
Training data.
Returns
-------
self : object
Returns the instance itself.
"""
pass
[docs] @_abc.abstractmethod
def transform(self, X):
"""Apply dimensionality reduction to X.
Parameters
----------
X : array-like, shape (n_samples, n_features)
Data matrix to be transformed.
Returns
-------
X_new : array-like, shape (n_samples, n_components)
The transformed data matrix.
"""
pass
[docs] @_abc.abstractmethod
def fit_transform(self, X):
"""Transform the data X according to the fitted decomposition.
Parameters
----------
X : array-like, shape (n_samples, n_features)
Data matrix to be decomposed.
Returns
-------
X_new : array-like, shape (n_samples, n_components)
Transformed data.
"""
pass