C# Class Accord.IO.SparseReader

Reader for data files containing samples in libsvm's sparse format.

Inheritance: IDisposable

Afficher le fichier Open project: accord-net/framework Class Usage Examples

Méthodes publiques

Méthode	Description
Dispose ( ) : void	Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.
ReadDense ( ) : double>.Tuple	Reads a sample from the file and returns it as a dense vector, together with its associated output value.
ReadDense ( int count ) : double[]>.Tuple	Reads count samples from the file and returns them as a Sparse{T} sparse vector, together with their associated output values.
ReadDenseToEnd ( ) : double[]>.Tuple	Reads all samples from the file and returns them as a dense vector, together with their associated output values.
ReadLine ( ) : string>.Tuple	Reads one line from the feature file, returning the array of values for the sparse vector and its corresponding label.
ReadSparse ( ) : double>.Tuple	Reads a sample from the file and returns it as a Sparse{T} sparse vector, together with its associated output value.
ReadSparse ( int count ) : double[]>.Tuple[]	Reads count samples from the file and returns them as a Sparse{T} sparse vector, together with their associated output values.
ReadSparseToEnd ( ) : double[]>.Tuple[]	Reads all samples from the file and returns them as a Sparse{T} sparse vector, together with their associated output values.
SparseReader ( Stream stream ) : Accord.Math	Initializes a new instance of the SparseReader class.
SparseReader ( Stream stream, Encoding encoding ) : Accord.Math	Initializes a new instance of the SparseReader class.
SparseReader ( Stream stream, Encoding encoding, int sampleSize ) : Accord.Math	Initializes a new instance of the SparseReader class.
SparseReader ( Stream stream, int sampleSize ) : Accord.Math	Initializes a new instance of the SparseReader class.
SparseReader ( StreamReader reader ) : Accord.Math	Initializes a new instance of the SparseReader class.
SparseReader ( StreamReader reader, int sampleSize ) : Accord.Math	Initializes a new instance of the SparseReader class.
SparseReader ( String path, Encoding encoding ) : Accord.Math	Initializes a new instance of the SparseReader class.
SparseReader ( String path, Encoding encoding, int sampleSize ) : Accord.Math	Initializes a new instance of the SparseReader class.
SparseReader ( string path ) : Accord.Math	Initializes a new instance of the SparseReader class.
SparseReader ( string path, int sampleSize ) : Accord.Math	Initializes a new instance of the SparseReader class.

Méthodes protégées

Méthode	Description
Dispose ( bool disposing ) : void	Releases unmanaged and - optionally - managed resources

Private Methods

Méthode	Description
guessSampleSize ( ) : int

Method Details

Dispose() public méthode

Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.

public Dispose ( ) : void
Résultat	void

Dispose() protected méthode

Releases unmanaged and - optionally - managed resources

protected Dispose ( bool disposing ) : void
disposing	bool	true to release both managed and unmanaged /// resources; false to release only unmanaged resources.
Résultat	void

ReadDense() public méthode

Reads a sample from the file and returns it as a dense vector, together with its associated output value.

public ReadDense ( ) : double>.Tuple
Résultat	double>.Tuple

ReadDense() public méthode

Reads count samples from the file and returns them as a Sparse{T} sparse vector, together with their associated output values.

public ReadDense ( int count ) : double[]>.Tuple
count	int	The number of samples to read.
Résultat	double[]>.Tuple

ReadDenseToEnd() public méthode

Reads all samples from the file and returns them as a dense vector, together with their associated output values.

public ReadDenseToEnd ( ) : double[]>.Tuple
Résultat	double[]>.Tuple

ReadLine() public méthode

Reads one line from the feature file, returning the array of values for the sparse vector and its corresponding label.

public ReadLine ( ) : string>.Tuple
Résultat	string>.Tuple

ReadSparse() public méthode

Reads a sample from the file and returns it as a Sparse{T} sparse vector, together with its associated output value.

public ReadSparse ( ) : double>.Tuple
Résultat	double>.Tuple

ReadSparse() public méthode

Reads count samples from the file and returns them as a Sparse{T} sparse vector, together with their associated output values.

public ReadSparse ( int count ) : double[]>.Tuple[]
count	int	The number of samples to read.
Résultat	double[]>.Tuple[]

ReadSparseToEnd() public méthode

Reads all samples from the file and returns them as a Sparse{T} sparse vector, together with their associated output values.

public ReadSparseToEnd ( ) : double[]>.Tuple[]
Résultat	double[]>.Tuple[]