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.
- Reading DataBlock constantly, training to obtain the MLModel
- 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
- Definition: