Arguments
This function internally uses scikit-learn function MLPClassifier through teradataml Open source ML functions.
Transformed data won’t have features, rawPrediction, probability columns.
| PySpark Argument Name | Open Source Function Argument Name | Notes |
|---|---|---|
| maxIter | Not yet available | |
| tol | tol | |
| seed | random_state | |
| layers | N/A | |
| blockSize | batch_size | |
| stepSize | learning_rate_init | |
| solver | solver | Default value is lbfgs. |
| initialWeights | Not yet available | |
| probabilityCol | Not yet available | |
| rawPredictionCol | Not yet available |
Attributes/Methods
| Attribute/Method Name | Supported | Notes |
|---|---|---|
| clear | ||
| copy | ||
| explainParam | ||
| explainParams | ||
| extractParamMap | ||
| fit | ||
| fitMultiple | ||
| getBlockSize | ||
| getFeaturesCol | ||
| getInitialWeights | ||
| getLabelCol | ||
| getLayers | ||
| getMaxIter | ||
| getOrDefault | ||
| getParam | ||
| getPredictionCol | ||
| getProbabilityCol | ||
| getRawPredictionCol | ||
| getSeed | ||
| getSolver | ||
| getStepSize | ||
| getThresholds | ||
| getTol | ||
| hasDefault | ||
| hasParam | ||
| isDefined | ||
| isSet | ||
| load | ||
| read | ||
| save | ||
| set | ||
| setBlockSize | ||
| setFeaturesCol | ||
| setInitialWeights | ||
| setLabelCol | ||
| setLayers | ||
| setMaxIter | ||
| setParams | ||
| setPredictionCol | ||
| setProbabilityCol | ||
| setRawPredictionCol | ||
| setSeed | ||
| setSolver | ||
| setStepSize | ||
| setThresholds | ||
| setTol | ||
| write | ||
| blockSize | ||
| featuresCol | ||
| initialWeights | ||
| labelCol | ||
| layers | ||
| maxIter | ||
| params | ||
| predictionCol | ||
| rawPredictionCol | ||
| seed | ||
| solver | ||
| stepSize | ||
| thresholds | ||
| tol |