# # Copyright 2019 The FATE Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import argparse from pipeline.backend.pipeline import PipeLine from pipeline.component import DataTransform from pipeline.component import HeteroSecureBoost from pipeline.component import Intersection from pipeline.component import Reader from pipeline.interface import Data from pipeline.component import Evaluation from pipeline.interface import Model from pipeline.utils.tools import load_job_config def main(config="../../config.yaml", namespace=""): # obtain config if isinstance(config, str): config = load_job_config(config) parties = config.parties guest = parties.guest[0] host = parties.host[0] # data sets guest_train_data = {"name": "breast_hetero_guest", "namespace": f"experiment{namespace}"} host_train_data = {"name": "breast_hetero_host", "namespace": f"experiment{namespace}"} guest_validate_data = {"name": "breast_hetero_guest", "namespace": f"experiment{namespace}"} host_validate_data = {"name": "breast_hetero_host", "namespace": f"experiment{namespace}"} # init pipeline pipeline = PipeLine().set_initiator(role="guest", party_id=guest).set_roles(guest=guest, host=host,) # set data reader and data-io reader_0, reader_1 = Reader(name="reader_0"), Reader(name="reader_1") reader_0.get_party_instance(role="guest", party_id=guest).component_param(table=guest_train_data) reader_0.get_party_instance(role="host", party_id=host).component_param(table=host_train_data) reader_1.get_party_instance(role="guest", party_id=guest).component_param(table=guest_validate_data) reader_1.get_party_instance(role="host", party_id=host).component_param(table=host_validate_data) data_transform_0, data_transform_1 = DataTransform(name="data_transform_0"), DataTransform(name="data_transform_1") data_transform_0.get_party_instance( role="guest", party_id=guest).component_param( with_label=True, output_format="dense") data_transform_0.get_party_instance(role="host", party_id=host).component_param(with_label=False) data_transform_1.get_party_instance( role="guest", party_id=guest).component_param( with_label=True, output_format="dense") data_transform_1.get_party_instance(role="host", party_id=host).component_param(with_label=False) # data intersect component intersect_0 = Intersection(name="intersection_0") intersect_1 = Intersection(name="intersection_1") # secure boost component hetero_secure_boost_0 = HeteroSecureBoost(name="hetero_secure_boost_0", num_trees=10, task_type="classification", objective_param={"objective": "cross_entropy"}, encrypt_param={"method": "Paillier"}, tree_param={"max_depth": 3}, boosting_strategy='layered', validation_freqs=1) # evaluation component evaluation_0 = Evaluation(name="evaluation_0", eval_type="binary") pipeline.add_component(reader_0) pipeline.add_component(reader_1) pipeline.add_component(data_transform_0, data=Data(data=reader_0.output.data)) pipeline.add_component( data_transform_1, data=Data( data=reader_1.output.data), model=Model( data_transform_0.output.model)) pipeline.add_component(intersect_0, data=Data(data=data_transform_0.output.data)) pipeline.add_component(intersect_1, data=Data(data=data_transform_1.output.data)) pipeline.add_component(hetero_secure_boost_0, data=Data(train_data=intersect_0.output.data, validate_data=intersect_1.output.data)) pipeline.add_component(evaluation_0, data=Data(data=hetero_secure_boost_0.output.data)) pipeline.compile() pipeline.fit() print("fitting hetero secureboost done, result:") print(pipeline.get_component("hetero_secure_boost_0").get_summary()) if __name__ == "__main__": parser = argparse.ArgumentParser("PIPELINE DEMO") parser.add_argument("-config", type=str, help="config file") args = parser.parse_args() if args.config is not None: main(args.config) else: main()