## Homo SecureBoost Configuration Usage Guide. #### Example Tasks. 1. Binary-Class: example-data: (1) guest: breast_homo_guest.csv (2) host: breast_homo_host.csv (3) test: breast_homo_test.csv dsl: test_secureboost_train_dsl.json runtime_config: test_secureboost_train_binary_conf.json 2. Multi-Class: example-data: (1) guest: vehicle_scale_homo_guest.csv (2) host: vehicle_scale_homo_host.csv (3) test: vehicle_scale_homo_test.csv dsl: test_secureboost_train_dsl.json runtime_config: test_secureboost_train_multi_conf.json 3. Regression: example-data: (1) guest: student_homo_guest.csv (2) host: student_homo_host.csv (3) test: student_homo_test.csv dsl: test_secureboost_train_dsl.json runtime_config: test_secureboost_train_regression_conf.json 4. Multi-Host Binary-Class: example-data: (1) guest: default_credit_homo_guest.csv (2) host1: default_credit_homo_host_1.csv (3) host2: default_credit_homo_host_2.csv (4) test: default_credit_homo_test.csv dsl: test_secureboost_train_dsl.json runtime_config: test_secureboost_train_binary_multi_host_conf.json 5. Binary-Class With Missing Value: example-data: (1) guest: ionosphere_scale_hetero_guest.csv (2) host: ionosphere_scale_hetero_guest.csv dsl: test_secureboost_train_dsl.json runtime_config: test_secureboost_train_binary_with_missing_value_conf.json 6. Predict: (1) test: breast_homo_test.csv dsl: test_predict_dsl.json runtime_config: test_predict_conf.json #### Cross Validation Class 1. Binary-Class: example-data: (1) guest: breast_homo_guest.csv (2) host: breast_homo_host.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_homo_guest.csv (2) host: vehicle_scale_homo_host.csv dsl: test_secureboost_cross_validation_dsl.json runtime_config: test_secureboost_cross_validation_multi_conf.json 3. Regression: example-data: (1) guest: student_homo_guest.csv (2) host: student_homo_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.