## Hetero SecureBoost Configuration Usage Guide.

#### Example Tasks.

1. Binary-Class:  

    example-data: (1) guest: breast_hetero_guest.csv  (2) host: breast_hetero_host.csv  
    
    dsl: test_secureboost_train_dsl.json  
    
    runtime_config: test_secureboost_train_binary_conf.json
     
2. Multi-Class:  

    example-data: (1) guest: vehicle_scale_hetero_guest.csv
                  (2) host: vehicle_scale_hetero_host.csv  
                  
    dsl: test_secureboost_train_dsl.json  
    
    runtime_config: test_secureboost_train_multi_conf.json
   
3. Regression:  

    example-data: (1) guest: student_hetero_guest.csv
                  (2) host: student_hetero_host.csv  
                  
    dsl: test_secureboost_train_dsl.json  
    
    runtime_config: test_secureboost_train_regression_conf.json
    
4. Multi-Host Regression  

    example-data: (1) guest: motor_hetero_guest.csv
                  (2) host1: motor_hetero_host_1.csv; 
                  (3) host2: motor_hetero_host_2.csv  
                  
    dsl: test_secureboost_train_dsl.json  
    
    runtime_config: test_secureboost_train_regression_multi_host_conf.json
    
5. Binary-Class With Missing Value  

    example-data: (1) guest: ionosphere_scale_hetero_guest.csv
                  (2) host: ionosphere_scale_hetero_host.csv  
                  
    dsl: test_secureboost_train_dsl.json  
    
    runtime_config: test_secureboost_train_binary_with_missing_value_conf.json  
    
    This example also contains another two feature since FATE-1.1.  
    (1) evaluate data during training process, check the "validation_freqs" field in runtime_config  

6. Early stopping example

    example-data: (1) guest: student_hetero_guest.csv
                  (2) host: student_hetero_host.csv  
                  
    dsl: test_secureboost_train_dsl.json  
    
    runtime_config: test_secureboost_train_with_early_stopping_conf.json
    

#### Cross Validation Class

1. Binary-Class:  

    example-data: (1) guest: breast_hetero_guest.csv
                  (2) host: breast_hetero_guest.csv  
                  
    dsl: test_secureboost_cross_validation_dsl.json  
    
    runtime_config: test_secureboost_cross_validation_binary_conf.json 
    
2. Multi-Class:  

    example-data: (1) guest: vehicle_scale_hetero_guest.csv
                  (2) host: vehicle_scal_a.csv  
                  
    dsl: test_secureboost_cross_validation_binary_conf.json 
     
    runtime_config: test_secureboost_cross_validation_multi_conf.json  
    
3. Regression:  

    example-data: (1) guest: student_hetero_guest.csv
                  (2) host: student_hetero_host.csv  
                  
    dsl: test_secureboost_cross_validation_dsl.json  
    
    runtime_config: test_secureboost_cross_validation_regression_conf.json
    
Users can use following commands to run a task.

    flow job submit -c ${runtime_config} -d ${dsl}

Moreover, after successfully running the training task, you can use it to predict too.