56 lines
2.2 KiB
Python
56 lines
2.2 KiB
Python
# Copyright 2020 QuantumBlack Visual Analytics Limited
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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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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND
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# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS
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# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN
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# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN
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# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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#
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# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo
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# (either separately or in combination, "QuantumBlack Trademarks") are
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# trademarks of QuantumBlack. The License does not grant you any right or
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# license to the QuantumBlack Trademarks. You may not use the QuantumBlack
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# Trademarks or any confusingly similar mark as a trademark for your product,
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# or use the QuantumBlack Trademarks in any other manner that might cause
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# confusion in the marketplace, including but not limited to in advertising,
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# on websites, or on software.
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#
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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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"""Example code for the nodes in the example pipeline. This code is meant
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just for illustrating basic Kedro features.
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Delete this when you start working on your own Kedro project.
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"""
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from kedro.pipeline import Pipeline, node
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from .nodes import predict, report_accuracy, train_model
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def create_pipeline(**kwargs):
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return Pipeline(
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[
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node(
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train_model,
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["example_train_x", "example_train_y", "parameters"],
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"example_model",
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),
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node(
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predict,
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dict(model="example_model", test_x="example_test_x"),
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"example_predictions",
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),
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node(report_accuracy, ["example_predictions", "example_test_y"], None),
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node(lambda x: x, 'example_test_y', None, name='Test Add Node'),
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]
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)
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