H2OAnomalyMetrics Class¶
The class makes available all metrics that shared across all algorithms supporting anomaly detection.
Getter Methods
- getCustomMetricName()
- Returns: Name of custom metric. - Scala type: - String, Python type:- string, R type:- character
- getCustomMetricValue()
- Returns: Value of custom metric. - Scala type: - Double, Python type:- float, R type:- numeric
- getDescription()
- Returns: Optional description for this scoring run (to note out-of-bag, sampled data, etc.). - Scala type: - String, Python type:- string, R type:- character
- getMeanNormalizedScore()
- Returns: Mean Normalized Anomaly Score. - Scala type: - Double, Python type:- float, R type:- numeric
- getMeanScore()
- Returns: Mean Anomaly Score. - Scala type: - Double, Python type:- float, R type:- numeric
- getMSE()
- Returns: The Mean Squared Error of the prediction for this scoring run. - Scala type: - Double, Python type:- float, R type:- numeric
- getNobs()
- Returns: Number of observations. - Scala type: - Long, Python type:- int, R type:- integer
- getRMSE()
- Returns: The Root Mean Squared Error of the prediction for this scoring run. - Scala type: - Double, Python type:- float, R type:- numeric
- getScoringTime()
- Returns: The time in mS since the epoch for the start of this scoring run. - Scala type: - Long, Python type:- int, R type:- integer