default-kedro157/src/default_kedro_157/pipelines/data_science/pipeline.py
2020-03-01 09:18:10 -06:00

56 lines
2.2 KiB
Python

# Copyright 2020 QuantumBlack Visual Analytics Limited
#
# 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
#
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# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS
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"""Example code for the nodes in the example pipeline. This code is meant
just for illustrating basic Kedro features.
Delete this when you start working on your own Kedro project.
"""
from kedro.pipeline import Pipeline, node
from .nodes import predict, report_accuracy, train_model
def create_pipeline(**kwargs):
return Pipeline(
[
node(
train_model,
["example_train_x", "example_train_y", "parameters"],
"example_model",
),
node(
predict,
dict(model="example_model", test_x="example_test_x"),
"example_predictions",
),
node(report_accuracy, ["example_predictions", "example_test_y"], None),
node(lambda x: x, 'example_test_y', None, name='Test Add Node'),
]
)