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docs(samples): replace deprecated fields in create_training_pipeline_tabular_forecasting_sample.py #981

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Feb 2, 2022
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docs(samples): replace deprecated fields in create_training_pipeline_tabular_forecasting_sample.py #981

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c8e2f9c
Update create_training_pipeline_tabular_forecasting_sample.py
dwkk-google Jan 27, 2022
da938e4
Update create_training_pipeline_tabular_forecasting_sample_test.py
dwkk-google Jan 27, 2022
3121f32
Merge branch 'main' into main
parthea Jan 27, 2022
a1a8b62
Merge branch 'main' into main
kweinmeister Jan 28, 2022
9a42bbb
Merge branch 'main' into main
dwkk-google Feb 1, 2022
0164151
Merge branch 'main' into main
dwkk-google Feb 1, 2022
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20 changes: 10 additions & 10 deletions samples/snippets/pipeline_service/create_training_pipeline_tabular_forecasting_sample.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,10 +26,10 @@ def create_training_pipeline_tabular_forecasting_sample(
target_column: str,
time_series_identifier_column: str,
time_column: str,
static_columns: str,
time_variant_past_only_columns: str,
time_variant_past_and_future_columns: str,
forecast_window_end: int,
time_series_attribute_columns: str,
unavailable_at_forecast: str,
available_at_forecast: str,
forecast_horizon: int,
location: str = "us-central1",
api_endpoint: str = "us-central1-aiplatform.googleapis.com",
):
Expand All @@ -47,7 +47,7 @@ def create_training_pipeline_tabular_forecasting_sample(
{"auto": {"column_name": "deaths"}},
]

period = {"unit": "day", "quantity": 1}
data_granularity = {"unit": "day", "quantity": 1}

# the inputs should be formatted according to the training_task_definition yaml file
training_task_inputs_dict = {
Expand All @@ -56,13 +56,13 @@ def create_training_pipeline_tabular_forecasting_sample(
"timeSeriesIdentifierColumn": time_series_identifier_column,
"timeColumn": time_column,
"transformations": transformations,
"period": period,
"dataGranularity": data_granularity,
"optimizationObjective": "minimize-rmse",
"trainBudgetMilliNodeHours": 8000,
"staticColumns": static_columns,
"timeVariantPastOnlyColumns": time_variant_past_only_columns,
"timeVariantPastAndFutureColumns": time_variant_past_and_future_columns,
"forecastWindowEnd": forecast_window_end,
"timeSeriesAttributeColumns": time_series_attribute_columns,
"unavailableAtForecast": unavailable_at_forecast,
"availableAtForecast": available_at_forecast,
"forecastHorizon": forecast_horizon,
}

training_task_inputs = json_format.ParseDict(training_task_inputs_dict, Value())
Expand Down
8 changes: 4 additions & 4 deletions ...les/snippets/pipeline_service/create_training_pipeline_tabular_forecasting_sample_test.py
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Expand Up @@ -77,10 +77,10 @@ def test_ucaip_generated_create_training_pipeline_sample(capsys, shared_state):
target_column=TARGET_COLUMN,
time_series_identifier_column="county",
time_column="date",
static_columns=["state_name"],
time_variant_past_only_columns=["deaths"],
time_variant_past_and_future_columns=["date"],
forecast_window_end=10,
time_series_attribute_columns=["state_name"],
unavailable_at_forecast=["deaths"],
available_at_forecast=["date"],
forecast_horizon=10,
)

out, _ = capsys.readouterr()
Expand Down