Constructor Detail

• NormalBayesClassifier

  protected NormalBayesClassifier​(long addr)

Method Detail

• __fromPtr__

  public static NormalBayesClassifier __fromPtr__​(long addr)

• predictProb

  public float predictProb​(Mat inputs,
                           Mat outputs,
                           Mat outputProbs,
                           int flags)

  Predicts the response for sample(s). The method estimates the most probable classes for input vectors. Input vectors (one or more) are stored as rows of the matrix inputs. In case of multiple input vectors, there should be one output vector outputs. The predicted class for a single input vector is returned by the method. The vector outputProbs contains the output probabilities corresponding to each element of result.

  Parameters:

  inputs - automatically generated

  outputs - automatically generated

  outputProbs - automatically generated

  flags - automatically generated

  Returns:

  automatically generated

• predictProb

  public float predictProb​(Mat inputs,
                           Mat outputs,
                           Mat outputProbs)

  Predicts the response for sample(s). The method estimates the most probable classes for input vectors. Input vectors (one or more) are stored as rows of the matrix inputs. In case of multiple input vectors, there should be one output vector outputs. The predicted class for a single input vector is returned by the method. The vector outputProbs contains the output probabilities corresponding to each element of result.

  Parameters:

  inputs - automatically generated

  outputs - automatically generated

  outputProbs - automatically generated

  Returns:

  automatically generated

• create

  public static NormalBayesClassifier create()

  Creates empty model Use StatModel::train to train the model after creation.

  Returns:

  automatically generated

• load

  public static NormalBayesClassifier load​(java.lang.String filepath,
                                           java.lang.String nodeName)

  Loads and creates a serialized NormalBayesClassifier from a file Use NormalBayesClassifier::save to serialize and store an NormalBayesClassifier to disk. Load the NormalBayesClassifier from this file again, by calling this function with the path to the file. Optionally specify the node for the file containing the classifier

  Parameters:

  filepath - path to serialized NormalBayesClassifier

  nodeName - name of node containing the classifier

  Returns:

  automatically generated

• load

  public static NormalBayesClassifier load​(java.lang.String filepath)

  Loads and creates a serialized NormalBayesClassifier from a file Use NormalBayesClassifier::save to serialize and store an NormalBayesClassifier to disk. Load the NormalBayesClassifier from this file again, by calling this function with the path to the file. Optionally specify the node for the file containing the classifier

  Parameters:

  filepath - path to serialized NormalBayesClassifier

  Returns:

  automatically generated

• finalize

  protected void finalize()
                   throws java.lang.Throwable

  Overrides:

  finalize in class StatModel

  Throws:

  java.lang.Throwable