Expand description
Modules§
- util
- Utility structs and functions for reading/generating training and prediction data.
Structs§
- Builder
- Primary model builder. Functions as the entry point into the API.
- Feature
Node - Represents a single feature in a sparse feature vector.
- Parameter
Builder - Builder for LibLinearParameter.
- Problem
Builder - Builder for LibLinearProblem.
- Serializer
- Helper struct to serialize and deserialize LibLinearModel instances.
Enums§
- Model
Error - Errors raised by a model’s API call.
- Parameter
Error - Errors related to a model’s parameters.
- Problem
Error - Errors related to a model’s input/training data.
- Solver
Type - Types of generalized linear models supported by liblinear.
Traits§
- HasLib
Linear Parameter - Super-trait of LibLinearModel and LibLinearCrossValidator.
- HasLib
Linear Problem - Super-trait of LibLinearModel and LibLinearCrossValidator.
- LibLinear
Cross Validator - Represents a linear model that can be used for validation.
- LibLinear
Model - Represents a linear model that can be used for prediction.
- LibLinear
Parameter - Represents the tunable parameters of a model.
- LibLinear
Problem - Represents a one-to-one mapping of source features to target values.
Functions§
- liblinear_
version - The version of the bundled liblinear C-library.
- toggle_
liblinear_ stdout_ output - Toggles the log output liblinear prints to the program’s
stdout.