This function internally uses scikit-learn function PCA through teradataml Open source ML functions.
Attributes/Methods
| Attribute/Method Name | Supported | Notes |
|---|---|---|
| clear | ||
| copy | ||
| explainParam | ||
| explainParams | ||
| extractParamMap | ||
| getInputCol | ||
| getK | ||
| getOrDefault | ||
| getOuptutCol | ||
| getParam | ||
| hasDefault | ||
| hasParam | ||
| isDefined | ||
| isSet | ||
| load | ||
| read | ||
| save | ||
| set | ||
| setInputCol | ||
| setOutputCol | ||
| transform | ||
| write | ||
| explainedVariance | PySpark returns a DenseVector, whereas teradatamlspk returns a numpy array. | |
| inputCol | ||
| k | ||
| outputCol | ||
| params | ||
| pc |