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- #
- # 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 Reader
- from pipeline.component import Union
- from pipeline.interface import Data
- 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]
- guest_train_data = {"name": "breast_hetero_guest", "namespace": f"experiment{namespace}"}
- pipeline = PipeLine().set_initiator(role='guest', party_id=guest).set_roles(guest=guest)
- reader_0 = Reader(name="reader_0")
- reader_0.get_party_instance(role='guest', party_id=guest).component_param(table=guest_train_data)
- reader_1 = Reader(name="reader_1")
- reader_1.get_party_instance(role='guest', party_id=guest).component_param(table=guest_train_data)
- data_transform_0 = DataTransform(name="data_transform_0", with_label=True, output_format="dense", label_name="y",
- missing_fill=False, outlier_replace=False)
- data_transform_1 = DataTransform(name="data_transform_1", with_label=True, output_format="dense", label_name="y",
- missing_fill=False, outlier_replace=False)
- union_0 = Union(name="union_0", allow_missing=False, need_run=True)
- 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(union_0, data=Data(data=[data_transform_0.output.data, data_transform_1.output.data]))
- pipeline.compile()
- pipeline.fit()
- 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()
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