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