Squashed pipeline generator #29
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marrrcin
reviewed
Apr 8, 2022
| @@ -41,7 +44,7 @@ def __init__(self, config: PluginConfig, project_name, context): | |||
| ) | |||
| self.run_config = config.run_config | |||
| self.run_name = self._generate_run_name(config) | |||
| self.generator = PipelineGenerator( | |||
| self.generator = globals()[self.run_config.generator_class]( | |||
| ] = "{{$.inputs.parameters['mlflow_tracking_token']}}" | ||
| command.append( | ||
| _decorate_command( | ||
| f"kedro vertexai -e {self.context.env} mlflow-start --output /tmp/mlflow.run.id {self.run_name} &&", |
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Do we still need this if we're running in a single node?
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Good question! It has one nice feature of setting the tag with vertex run id, so I decided to keep it. It could be covered by some custom hook in the project, but it requires custom development.
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Description
Provides alternative pipeline generation, suitable to run SparkML pipelines with lazy evaluation of steps and
MemoryDataSetartifacts.PR Checklist