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feat(components): Update Starry Net image tags
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Signed-off-by: Googler <nobody@google.com>
PiperOrigin-RevId: 644464195
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Googler committed Jun 18, 2024
1 parent 4dab191 commit bf5104f
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Showing 3 changed files with 8 additions and 9 deletions.
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Expand Up @@ -55,7 +55,7 @@ def get_training_artifacts(
instance_schema_uri=str,
)
return outputs(
f'{docker_region}-docker.pkg.dev/vertex-ai/starryn/predictor:20240610_0542_RC00', # pylint: disable=too-many-function-args
f'{docker_region}-docker.pkg.dev/vertex-ai/starryn/predictor:20240617_2142_RC00', # pylint: disable=too-many-function-args
private_dir, # pylint: disable=too-many-function-args
os.path.join(private_dir, 'predict_schema.yaml'), # pylint: disable=too-many-function-args
os.path.join(private_dir, 'instance_schema.yaml'), # pylint: disable=too-many-function-args
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Expand Up @@ -13,6 +13,6 @@
# limitations under the License.
"""Version constants for starry net components."""

DATAPREP_VERSION = '20240609_1425_RC00'
PREDICTOR_VERSION = '20240610_0542_RC00'
TRAINER_VERSION = '20240610_0542_RC00'
DATAPREP_VERSION = '20240617_2225_RC00'
PREDICTOR_VERSION = '20240617_2142_RC00'
TRAINER_VERSION = '20240617_2142_RC00'
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Expand Up @@ -15,7 +15,7 @@

from typing import List

#pylint: disable=g-importing-member
# pylint: disable=g-importing-member
from google_cloud_pipeline_components import _placeholders
from google_cloud_pipeline_components._implementation.starry_net import DataprepOp
from google_cloud_pipeline_components._implementation.starry_net import EvaluationOp
Expand Down Expand Up @@ -136,10 +136,9 @@ def starry_net( # pylint: disable=dangerous-default-value
dataprep_test_set_bigquery_dataset.
dataprep_ts_identifier_columns: The list of ts_identifier columns from the
BigQuery data source. These columns are used to distinguish the different
time series, so that if multiple rows have identical ts_identifier columns,
the series is generated by summing the target columns for each timestamp.
If the big query dataset has a different This is only used if
dataprep_bigquery_data_path is set.
time series, so that if multiple rows have identical ts_identifier
columns, the series is generated by summing the target columns for each
timestamp. This is only used if dataprep_bigquery_data_path is set.
dataprep_time_column: The time column from the BigQuery data source. This is
only used if dataprep_bigquery_data_path is set.
dataprep_target_column: The column to be forecasted from the BigQuery data
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