The fit method in the lale.lib.sklearn.PCA class of Python's Lale library is used to compute principal component analysis (PCA) on the input data. It learns the principal components, which are linear combinations of the original features that capture the most variance in the data. This method adjusts the PCA model's parameters using the input data, allowing it to be used for dimensional reduction or feature extraction on new data.
Python PCA.fit - 19 examples found. These are the top rated real world Python examples of lale.lib.sklearn.PCA.fit extracted from open source projects. You can rate examples to help us improve the quality of examples.