Compute the initial predictions and errors for a dataset for the first iteration of gradient boosting.
Compute the initial predictions and errors for a dataset for the first iteration of gradient boosting.
a RDD with each element being a zip of the prediction and error corresponding to every sample.
Load a model from the given path.
Load a model from the given path.
The model should have been saved by Saveable.save.
Spark context used for loading model files.
Path specifying the directory to which the model was saved.
Model instance
Update a zipped predictionError RDD (as obtained with computeInitialPredictionAndError)
Update a zipped predictionError RDD (as obtained with computeInitialPredictionAndError)
a RDD with each element being a zip of the prediction and error corresponding to each sample.