H2OClusteringMetrics Class

The class makes available all metrics that shared across all algorithms supporting clustering.

Getter Methods

getBetweenss()

Returns: Between Cluster Sum of Square Error.

Scala type: Double, Python type: float, R type: numeric

getCentroidStats()

Returns: Centroid Statistics.

Type: DataFrame

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

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

getTotWithinss()

Returns: Within Cluster Sum of Square Error.

Scala type: Double, Python type: float, R type: numeric

getTotss()

Returns: Total Sum of Square Error to Grand Mean.

Scala type: Double, Python type: float, R type: numeric