bigframes.ml.decomposition.MatrixFactorization.fit_predict#
- MatrixFactorization.fit_predict(X: DataFrame | Series | DataFrame | Series, y: DataFrame | Series | DataFrame | Series | None = None) _T#
Fit the model with X and generate a predicted rating for every user-item row combination for a matrix factorization model. 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: