evalml.guardrails.detect_outliers¶
-
class
evalml.guardrails.detect_outliers[source]¶ Checks if there are any outliers in a dataframe by using first Isolation Forest to obtain the anomaly score of each index and then using IQR to determine score anomalies. Indices with score anomalies are considered outliers.
- Parameters
X (DataFrame) – features
- Returns
A set of indices that may have outlier data.