Is there a way to search mlflow runs through kedro-mlflow? #469
praneeth5222
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Hi @praneeth5222 ,
mlflow.search_runs(experiment_names=[ "test" ],filter_string=tags.pipeline_name='test_pipe'\
and attributes.status = 'FINISHED',
order_by=["start_time DESC"]) What error are you facing?
my_dataset: # this is supposed to be a dict of json
type: kedro_mlflow.io.artifacts.MlflowArtifactDataSet
data_set:
type: PartitionedDataSet
path: /path/to/a/local/folder # the attribute is "path", and not "filepath"!
dataset: "json.JSONDataset" |
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Hello
I am new to kedro-mlflow and I have 2 use cases that I wasn't able to figure out through kedro-mlflow
Is there an equivalent of this search runs api implementation in kedro-mlflow?
I have a use case where the final kedro node needs to log around 10 json files to MLflow artifacts and if it is using the MLflow API, I can use this log_artifacts to log all the artifacts at once. Is there an equivalent of log_artifacts in kedro-mlflow
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