[−][src]Crate xgboost
Rust wrapper around the XGBoost machine learning library.
Provides a high level interface for training machine learning models using gradient boosting.
Currently in the early stages of development, API is likely to be fairly unstable as new features are added.
Basic usage example
extern crate xgboost; use xgboost::{parameters, DMatrix, Booster}; fn main() { // training matrix with 5 training examples and 3 features let x_train = &[1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0]; let num_rows = 5; let y_train = &[1.0, 1.0, 1.0, 0.0, 1.0]; // convert training data into XGBoost's matrix format let mut dtrain = DMatrix::from_dense(x_train, num_rows).unwrap(); // set ground truth labels for the training matrix dtrain.set_labels(y_train).unwrap(); // test matrix with 1 row let x_test = &[0.7, 0.9, 0.6]; let num_rows = 1; let y_test = &[1.0]; let mut dtest = DMatrix::from_dense(x_test, num_rows).unwrap(); dtest.set_labels(y_test).unwrap(); // specify datasets to evaluate against during training let evaluation_sets = &[(&dtrain, "train"), (&dtest, "test")]; // specify overall training setup let training_params = parameters::TrainingParametersBuilder::default() .dtrain(&dtrain) .evaluation_sets(Some(evaluation_sets)) .build() .unwrap(); // train model, and print evaluation data let bst = Booster::train(&training_params).unwrap(); println!("{:?}", bst.predict(&dtest).unwrap()); }
See the examples directory for more detailed examples of different features.
Modules
parameters | Builders for parameters that control various aspects of training. |
Structs
Booster | Core model in XGBoost, containing functions for training, evaluating and predicting. |
DMatrix | Data matrix used throughout XGBoost for training/predicting |
FeatureMap | Maps a feature index to a name and type, used when dumping models as text. |
XGBError | Wrap errors returned by the XGBoost library. |
Enums
FeatureType | Indicates the type of a feature, used when dumping models as text. |
Type Definitions
XGBResult | Convenience return type for most operations which can return an |