Uses of Class
comirva.exception.SizeMismatchException

Packages that use SizeMismatchException

comirva.data
comirva.mlearn
comirva.web.text.similarity

Uses of SizeMismatchException in comirva.data

Methods in comirva.data that throw SizeMismatchException

void	DataMatrix.addRowValues(Vector<Double> data, int row) Adds the values of the Vector data to the row-values of the matrix indicated by the argument row.
void	DataMatrix.insertRow(Vector<Double> data, int index) Inserts a row at the given index.
void	DataMatrix.setRowValues(Vector<Double> data, int row) Sets a specific row in the DataMatrix.
void	DataMatrix.setValueAtPos(Double value, int row, int col) Sets the value at a specific position of the DataMatrix-instance.

Uses of SizeMismatchException in comirva.mlearn

Methods in comirva.mlearn that throw SizeMismatchException

static double	SOM.euclideanDistance(Vector<Double> item1, Vector<Double> item2) Calculates and returns the Euclidean distance between the data vectors item1 and item2.
void	SOM.setAltLabels(Vector<String> labels)
void	SOM.setLabels(Vector<String> labels) Sets the labels, i.e. the descriptions for the data items, of the SOM.
Vector<Double>	SOM.vectorDistance(Vector<Double> item1, Vector<Double> item2) Calculates and returns a Vector containing the pairwise distances between the data vectors item1 and item2.
Vector<Double>	SOM.vectorDistanceMultiply(Vector<Double> item1, Vector<Double> item2, double multi) Calculates a Vector containing the pairwise distances between the data vectors item1 and item2.

Uses of SizeMismatchException in comirva.web.text.similarity

Methods in comirva.web.text.similarity that throw SizeMismatchException

protected float	SimMeasure_OverlapSimWhitman.getSimilarity_intern(float[] item1, float[] item2)
protected float	SimMeasure_OverlapSim.getSimilarity_intern(float[] item1, float[] item2) Calculates and returns the similarity as overlap formulation.
protected float	SimMeasure_JeffreyDist.getSimilarity_intern(float[] a, float[] b)
protected float	SimMeasure_JaccardCoefficient.getSimilarity_intern(float[] item1, float[] item2) Calculates and returns Jaccard coefficent.
protected float	SimMeasure_InnerProduct.getSimilarity_intern(float[] item1, float[] item2) Calculates and returns the inner product similarity.
protected float	SimMeasure_Euclidean.getSimilarity_intern(float[] item1, float[] item2) Calculates and returns the Euclidean distance between two float[] data vectors item1 and item2.
protected float	SimMeasure_DiceCoefficient.getSimilarity_intern(float[] item1, float[] item2) Calculates and returns Dice coefficent.
protected float	SimMeasure_CosineSim.getSimilarity_intern(float[] item1, float[] item2) Calculates and returns the [0,1]-normalized cosine similarity.
protected abstract float	SimMeasure.getSimilarity_intern(float[] a, float[] b) return the computed similarity (or distance, respectively) between the two vectors.
float	SimMeasure.getSimilarity(float[] a, float[] b)