This function internally uses scikit-learn function MLPClassifier through teradataml Open source ML functions.
Attributes/Methods
| Attribute/Method Name | Supported | Notes |
|---|---|---|
| clear | ||
| copy | ||
| explainParam | ||
| explainParams | ||
| extractParamMap | ||
| getBlockSize | ||
| getFeaturesCol | ||
| getInitialWeights | ||
| getLabelCol | ||
| getLayers | ||
| getMaxIter | ||
| getOrDefault | ||
| getParam | ||
| getPredictionCol | ||
| getProbabilityCol | ||
| getRawPredictionCol | ||
| getSeed | ||
| getSolver | ||
| getStepSize | ||
| getThresholds | ||
| getTol | ||
| hasDefault | ||
| hasParam | ||
| isDefined | ||
| isSet | ||
| load | ||
| predict | Only supports input as list. | |
| predictProbability | ||
| predictRaw | ||
| read | ||
| save | ||
| set | ||
| setFeaturesCol | ||
| setPredictionCol | ||
| setProbabilityCol | ||
| setRawPredictionCol | ||
| setThresholds | ||
| summary | ||
| transform | ||
| write | ||
| blockSize | ||
| featuresCol | ||
| initialWeights | ||
| labelCol | ||
| layers | ||
| maxIter | ||
| numClasses | ||
| numFeatures | ||
| params | ||
| predictionCol | ||
| probabilityCol | ||
| rawPredictionCol | ||
| seed | ||
| solver | ||
| stepSize | ||
| thresholds | ||
| tol | ||
| weights |