33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
# Copyright 2022 The Kubeflow Authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from kfp.dsl import component
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from kfp.dsl import Metrics
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from kfp.dsl import Output
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@component
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def output_metrics(metrics: Output[Metrics]):
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"""Dummy component that outputs metrics with a random accuracy."""
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import random
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result = random.randint(0, 100)
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metrics.log_metric('accuracy', result)
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if __name__ == '__main__':
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from kfp import compiler
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compiler.Compiler().compile(
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pipeline_func=output_metrics,
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package_path=__file__.replace('.py', '.yaml'))
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