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(2) another homomorphic encryption method “Iterative Affine”, check “encrypt_param” 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.