MLLearner

MLLearner is a core class for model training. In principle, any core model-training logic in Angel should be implemented and called by this class. MLLearner is train's core class.

Function

• Reading DataBlock constantly, training to obtain the MLModel

Core Interface

1. train
   • Definition: def train(train: DataBlock[LabeledData], vali: DataBlock[LabeledData])：MLModel
   • Function: train the model on the training data using a specific algorithm
   • Parameters: train: DataBlock[LabeledData] training dataset; vali: DataBlock[LabeledData] validation dataset
   • Return value: MLModel