Arguments
This function internally uses scikit-learn function KMeans through teradataml Open source ML functions.
Transformed data won’t have the features column.
| PySpark Argument Name | Open Source Function Argument Name | Notes |
|---|---|---|
| maxIter | mater_iter | |
| k | n_clusters | |
| initMode | init | Default value is k-means++. |
| initSteps | n_init | |
| tol | tol | |
| distanceMeasure | Not yet available | |
| weightCol | Not yet available | |
| solver | Not yet available | |
| maxBlockSizeInMB | Not yet available |
Attributes/Methods
| Attribute/Method Name | Supported | Notes |
|---|---|---|
| clear | ||
| copy | ||
| explainParam | ||
| explainParams | ||
| extractParamMap | ||
| fit | ||
| fitMultiple | ||
| getDistanceMeasure | ||
| getFeaturesCol | ||
| getInitMode | ||
| getInitSteps | ||
| getK | ||
| getMaxBlockSizeInMB | ||
| getMaxIter | ||
| getOrDefault | ||
| getParam | ||
| getPredictionCol | ||
| getSeed | ||
| getSolver | ||
| getTol | ||
| getWeightCol | ||
| hasDefault | ||
| hasParam | ||
| isDefined | ||
| isSet | ||
| load | ||
| read | ||
| save | ||
| set | ||
| setDistanceMeasure | ||
| setFeaturesCol | ||
| setInitMode | ||
| setInitSteps | ||
| setK | ||
| setMaxBlockSizeInMB | ||
| setMaxIter | ||
| setParams | ||
| setPredictionCol | ||
| setSeed | ||
| setSolver | ||
| setTol | ||
| setWeightCol | ||
| write | ||
| distanceMeasure | ||
| featuresCol | ||
| initMode | ||
| initSteps | ||
| k | ||
| maxBlockSizeInMB | ||
| maxIter | ||
| params | ||
| predictionCol | ||
| seed | ||
| solver | ||
| tol | ||
| weightCol |