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Object org.apache.spark.mllib.regression.GeneralizedLinearModel
public abstract class GeneralizedLinearModel
:: DeveloperApi :: GeneralizedLinearModel (GLM) represents a model trained using GeneralizedLinearAlgorithm. GLMs consist of a weight vector and an intercept.
param: weights Weights computed for every feature. param: intercept Intercept computed for this model.
Constructor Summary | |
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GeneralizedLinearModel(Vector weights,
double intercept)
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Method Summary | |
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double |
intercept()
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RDD<Object> |
predict(RDD<Vector> testData)
Predict values for the given data set using the model trained. |
double |
predict(Vector testData)
Predict values for a single data point using the model trained. |
String |
toString()
Print a summary of the model. |
Vector |
weights()
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Methods inherited from class Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public GeneralizedLinearModel(Vector weights, double intercept)
Method Detail |
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public Vector weights()
public double intercept()
public RDD<Object> predict(RDD<Vector> testData)
testData
- RDD representing data points to be predicted
public double predict(Vector testData)
testData
- array representing a single data point
public String toString()
toString
in class Object
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