bigframes.ml.decomposition.PCA.fit_predict#

PCA.fit_predict(X: DataFrame | Series | DataFrame | Series, y: DataFrame | Series | DataFrame | Series | None = None) _T#

Fit the model with X and apply the dimensionality reduction on X.

Convenience method; equivalent to calling fit(X) followed by predict(X).

Parameters:
  • X (bigframes.dataframe.DataFrame or bigframes.series.Series or pandas.core.frame.DataFrame or pandas.core.series.Series) – DataFrame of shape (n_samples, n_features). Training data.

  • y (default None) – Not used, present here for API consistency by convention.

Returns:

DataFrame of shape (n_samples, n_input_columns + n_prediction_columns). Returns predicted labels.

Return type:

bigframes.dataframe.DataFrame