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Object org.apache.spark.mllib.tree.loss.SquaredError
public class SquaredError
:: DeveloperApi :: Class for squared error loss calculation.
The squared (L2) error is defined as: (y - F(x))**2 where y is the label and F(x) is the model prediction for features x.
Constructor Summary | |
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SquaredError()
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Method Summary | |
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static double |
gradient(double prediction,
double label)
Method to calculate the gradients for the gradient boosting calculation for least squares error calculation. |
Methods inherited from class Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface org.apache.spark.mllib.tree.loss.Loss |
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computeError, computeError, gradient |
Constructor Detail |
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public SquaredError()
Method Detail |
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public static double gradient(double prediction, double label)
prediction
- Predicted label.label
- True label.
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