bigframes.ml.decomposition.PCA.detect_anomalies#
- PCA.detect_anomalies(X: DataFrame | Series | DataFrame | Series, *, contamination: float = 0.1) DataFrame[source]#
Detect the anomaly data points of the input.
- Parameters:
X (bigframes.dataframe.DataFrame or bigframes.series.Series) – Series or a DataFrame to detect anomalies.
contamination (float, default 0.1) – Identifies the proportion of anomalies in the training dataset that are used to create the model. The value must be in the range [0, 0.5].
- Returns:
detected DataFrame.
- Return type: