public class OnlineLogisticRegression extends AbstractOnlineLogisticRegression implements org.apache.hadoop.io.Writable
Modifier and Type | Field and Description |
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static int |
WRITABLE_VERSION |
beta, numCategories, prior, step, updateCounts, updateSteps
MIN_LOG_LIKELIHOOD
Constructor and Description |
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OnlineLogisticRegression() |
OnlineLogisticRegression(int numCategories,
int numFeatures,
PriorFunction prior) |
Modifier and Type | Method and Description |
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OnlineLogisticRegression |
alpha(double alpha)
Chainable configuration option.
|
OnlineLogisticRegression |
copy() |
void |
copyFrom(OnlineLogisticRegression other) |
double |
currentLearningRate() |
OnlineLogisticRegression |
decayExponent(double decayExponent) |
OnlineLogisticRegression |
lambda(double lambda)
Chainable configuration option.
|
OnlineLogisticRegression |
learningRate(double learningRate)
Chainable configuration option.
|
double |
perTermLearningRate(int j) |
void |
readFields(DataInput in) |
OnlineLogisticRegression |
stepOffset(int stepOffset) |
void |
write(DataOutput out) |
classify, classifyNoLink, classifyScalar, classifyScalarNoLink, close, copyFrom, getBeta, getLambda, getPrior, getStep, isSealed, link, link, nextStep, numCategories, numFeatures, regularize, setBeta, setGradient, setPrior, train, train, train, unseal, validModel
classify, classifyFull, classifyFull, classifyFull, classifyScalar, logLikelihood
public static final int WRITABLE_VERSION
public OnlineLogisticRegression()
public OnlineLogisticRegression(int numCategories, int numFeatures, PriorFunction prior)
public OnlineLogisticRegression alpha(double alpha)
alpha
- New value of decayFactor, the exponential decay rate for the learning rate.public OnlineLogisticRegression lambda(double lambda)
AbstractOnlineLogisticRegression
lambda
in class AbstractOnlineLogisticRegression
lambda
- New value of lambda, the weighting factor for the prior distribution.public OnlineLogisticRegression learningRate(double learningRate)
learningRate
- New value of initial learning rate.public OnlineLogisticRegression stepOffset(int stepOffset)
public OnlineLogisticRegression decayExponent(double decayExponent)
public double perTermLearningRate(int j)
perTermLearningRate
in class AbstractOnlineLogisticRegression
public double currentLearningRate()
currentLearningRate
in class AbstractOnlineLogisticRegression
public void copyFrom(OnlineLogisticRegression other)
public OnlineLogisticRegression copy()
public void write(DataOutput out) throws IOException
write
in interface org.apache.hadoop.io.Writable
IOException
public void readFields(DataInput in) throws IOException
readFields
in interface org.apache.hadoop.io.Writable
IOException
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