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chore: update docstring for column_specs and column_transformations to specify local credentials #1127

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merged 2 commits into from Mar 30, 2022
Merged

chore: update docstring for column_specs and column_transformations to specify local credentials #1127

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6c49e22
update docstring for column_specs and column_transformations
sararob Mar 30, 2022
1748c64
Merge branch 'main' into trainingjob-docstring-fix
sararob Mar 30, 2022
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12 changes: 6 additions & 6 deletions google/cloud/aiplatform/training_jobs.py
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Expand Up @@ -3272,9 +3272,9 @@ def __init__(
ignored by the training, except for the targetColumn, which should have
no transformations defined on.
Only one of column_transformations or column_specs should be passed. If none
of column_transformations or column_specs is passed, the service account
being used will try setting column_specs to "auto". To do this, the service
account needes read access to the GCS or BigQuery training data source.
of column_transformations or column_specs is passed, the local credentials
being used will try setting column_specs to "auto". To do this, the local
credentials require read access to the GCS or BigQuery training data source.
column_transformations (List[Dict[str, Dict[str, str]]]):
Optional. Transformations to apply to the input columns (i.e. columns other
than the targetColumn). Each transformation may produce multiple
Expand All @@ -3288,9 +3288,9 @@ def __init__(
Only one of column_transformations or column_specs should be passed.
Consider using column_specs as column_transformations will be deprecated
eventually. If none of column_transformations or column_specs is passed,
the service account being used will try setting column_transformations
to "auto". To do this, the service account needes read access to the GCS
or BigQuery training data source.
the local credentials being used will try setting column_transformations to
"auto". To do this, the local credentials require read access to the GCS or
BigQuery training data source.
optimization_objective_recall_value (float):
Optional. Required when maximize-precision-at-recall optimizationObjective was
picked, represents the recall value at which the optimization is done.
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