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java.lang.Objectorg.apache.mahout.classifier.AbstractVectorClassifier
public abstract class AbstractVectorClassifier
Defines the interface for classifiers that take input as a vector. This is implemented as an abstract class so that it can implement a number of handy convenience methods related to classification of vectors.
Constructor Summary | |
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AbstractVectorClassifier()
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Method Summary | |
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Matrix |
classify(Matrix data)
Returns n-1 probabilities, one for each category but the last, for each row of a matrix. |
abstract Vector |
classify(Vector instance)
Classify a vector returning a vector of numCategories-1 scores. |
Matrix |
classifyFull(Matrix data)
Returns n probabilities, one for each category, for each row of a matrix. |
Vector |
classifyFull(Vector instance)
Returns n probabilities, one for each category. |
Vector |
classifyFull(Vector r,
Vector instance)
Returns n probabilities, one for each category into a pre-allocated vector. |
Vector |
classifyNoLink(Vector features)
Classify a vector, but don't apply the inverse link function. |
Vector |
classifyScalar(Matrix data)
Returns a vector of probabilities of the first category, one for each row of a matrix. |
abstract double |
classifyScalar(Vector instance)
Classifies a vector in the special case of a binary classifier where classify(Vector) would return a vector with only one element. |
double |
logLikelihood(int actual,
Vector data)
Returns a measure of how good the classification for a particular example actually is. |
abstract int |
numCategories()
Returns the number of categories for the target variable. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public AbstractVectorClassifier()
Method Detail |
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public abstract int numCategories()
public abstract Vector classify(Vector instance)
instance
- A feature vector to be classified.
public Vector classifyNoLink(Vector features)
features
- A feature vector to be classified.
public abstract double classifyScalar(Vector instance)
classify(Vector)
would return a vector with only one element. As such,
using this method can void the allocation of a vector.
instance
- The feature vector to be classified.
classify(Vector)
public Vector classifyFull(Vector instance)
instance
- A vector of features to be classified.
classify(Vector)
,
classifyFull(Vector r, Vector instance)
public Vector classifyFull(Vector r, Vector instance)
r
- Where to put the results.instance
- A vector of features to be classified.
public Matrix classify(Matrix data)
data
- The matrix whose rows are vectors to classify
public Matrix classifyFull(Matrix data)
data
- The matrix whose rows are vectors to classify
public Vector classifyScalar(Matrix data)
data
- The matrix whose rows are vectors to classify
public double logLikelihood(int actual, Vector data)
actual
- The correct category for the example.data
- The vector to be classified.
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