Accord.IO Namespace

Represents a reader that provides fast, non-cached, forward-only access to CSV data.

Writer for CSV data.

Excel file reader using Microsoft Jet Database Engine.

Reader for IDX files (such as MNIST's digit database).

Reads support vector machines created from LibSVM or Liblinear. Not all solver types are supported.

Represents the exception that is thrown when a CSV file is malformed.

Node object contained in .MAT file. A node can contain a matrix object, a string, or another nodes.

Reader for .mat files (such as the ones created by Matlab and Octave).

Sparse matrix representation used by .MAT files.

Represents the exception that is thrown when a there is a missing field in a record of the CSV file.

Provides static methods to save and load files saved in NumPy's .npy format.

Lazily-loaded collection of arrays from a compressed .npz archive.

Lazily-loaded collection of arrays from a compressed .npz archive.

Provides static methods to save and load files saved in NumPy's .npz format.

Provides data for the ParseError event.

Model serializer. Can be used to serialize and deserialize (i.e. save and load) models from the framework to and from the disk and other streams.

Provides static methods to save and load files saved in LibSVM's sparse format.

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

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

Reader for UNIPEN files (such as Pendigits dataset).

Supports a simple iteration over the records of a CsvReader.

Data types which can be contained in a IDX data file.

Solver types allowed in LibSVM/Liblinear model files.

Specifies the action to take when a field is missing.

Specifies the action to take when a parsing error has occurred.

Compression algorithms supported by the Serializer.

Field trimming options.