Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

docs: show inherited SDK methods in pydoc #1707

Merged
merged 3 commits into from
Sep 30, 2022
Merged

docs: show inherited SDK methods in pydoc #1707

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
71a658b
fix: show inherited SDK methods in pydoc
jaycee-li Sep 29, 2022
a2dce7a
Merge branch 'main' into update-pydoc
jaycee-li Sep 30, 2022
5a8d1d2
Merge branch 'main' into update-pydoc
nayaknishant Sep 30, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions docs/aiplatform/services.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,3 +4,4 @@ Google Cloud Aiplatform SDK
.. automodule:: google.cloud.aiplatform
:members:
:show-inheritance:
:inherited-members:
176 changes: 0 additions & 176 deletions google/cloud/aiplatform/training_jobs.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -5150,94 +5150,6 @@ class AutoMLForecastingTrainingJob(_ForecastingTrainingJob):
_training_task_definition = schema.training_job.definition.automl_forecasting
_supported_training_schemas = (schema.training_job.definition.automl_forecasting,)

def run(
self,
dataset: datasets.TimeSeriesDataset,
target_column: str,
time_column: str,
time_series_identifier_column: str,
unavailable_at_forecast_columns: List[str],
available_at_forecast_columns: List[str],
forecast_horizon: int,
data_granularity_unit: str,
data_granularity_count: int,
training_fraction_split: Optional[float] = None,
validation_fraction_split: Optional[float] = None,
test_fraction_split: Optional[float] = None,
predefined_split_column_name: Optional[str] = None,
timestamp_split_column_name: Optional[str] = None,
weight_column: Optional[str] = None,
time_series_attribute_columns: Optional[List[str]] = None,
context_window: Optional[int] = None,
export_evaluated_data_items: bool = False,
export_evaluated_data_items_bigquery_destination_uri: Optional[str] = None,
export_evaluated_data_items_override_destination: bool = False,
quantiles: Optional[List[float]] = None,
validation_options: Optional[str] = None,
budget_milli_node_hours: int = 1000,
model_display_name: Optional[str] = None,
model_labels: Optional[Dict[str, str]] = None,
model_id: Optional[str] = None,
parent_model: Optional[str] = None,
is_default_version: Optional[bool] = True,
model_version_aliases: Optional[Sequence[str]] = None,
model_version_description: Optional[str] = None,
additional_experiments: Optional[List[str]] = None,
hierarchy_group_columns: Optional[List[str]] = None,
hierarchy_group_total_weight: Optional[float] = None,
hierarchy_temporal_total_weight: Optional[float] = None,
hierarchy_group_temporal_total_weight: Optional[float] = None,
window_column: Optional[str] = None,
window_stride_length: Optional[int] = None,
window_max_count: Optional[int] = None,
holiday_regions: Optional[List[str]] = None,
sync: bool = True,
create_request_timeout: Optional[float] = None,
) -> models.Model:
return super().run(
dataset=dataset,
target_column=target_column,
time_column=time_column,
time_series_identifier_column=time_series_identifier_column,
unavailable_at_forecast_columns=unavailable_at_forecast_columns,
available_at_forecast_columns=available_at_forecast_columns,
forecast_horizon=forecast_horizon,
data_granularity_unit=data_granularity_unit,
data_granularity_count=data_granularity_count,
training_fraction_split=training_fraction_split,
validation_fraction_split=validation_fraction_split,
test_fraction_split=test_fraction_split,
predefined_split_column_name=predefined_split_column_name,
timestamp_split_column_name=timestamp_split_column_name,
weight_column=weight_column,
time_series_attribute_columns=time_series_attribute_columns,
context_window=context_window,
budget_milli_node_hours=budget_milli_node_hours,
export_evaluated_data_items=export_evaluated_data_items,
export_evaluated_data_items_bigquery_destination_uri=export_evaluated_data_items_bigquery_destination_uri,
export_evaluated_data_items_override_destination=export_evaluated_data_items_override_destination,
quantiles=quantiles,
validation_options=validation_options,
model_display_name=model_display_name,
model_labels=model_labels,
model_id=model_id,
parent_model=parent_model,
is_default_version=is_default_version,
model_version_aliases=model_version_aliases,
model_version_description=model_version_description,
additional_experiments=additional_experiments,
hierarchy_group_columns=hierarchy_group_columns,
hierarchy_group_total_weight=hierarchy_group_total_weight,
hierarchy_temporal_total_weight=hierarchy_temporal_total_weight,
hierarchy_group_temporal_total_weight=hierarchy_group_temporal_total_weight,
window_column=window_column,
window_stride_length=window_stride_length,
window_max_count=window_max_count,
holiday_regions=holiday_regions,
sync=sync,
create_request_timeout=create_request_timeout,
)


class SequenceToSequencePlusForecastingTrainingJob(_ForecastingTrainingJob):
_model_type = "Seq2Seq"
Expand All @@ -5246,94 +5158,6 @@ class SequenceToSequencePlusForecastingTrainingJob(_ForecastingTrainingJob):
schema.training_job.definition.seq2seq_plus_forecasting,
)

def run(
self,
dataset: datasets.TimeSeriesDataset,
target_column: str,
time_column: str,
time_series_identifier_column: str,
unavailable_at_forecast_columns: List[str],
available_at_forecast_columns: List[str],
forecast_horizon: int,
data_granularity_unit: str,
data_granularity_count: int,
training_fraction_split: Optional[float] = None,
validation_fraction_split: Optional[float] = None,
test_fraction_split: Optional[float] = None,
predefined_split_column_name: Optional[str] = None,
timestamp_split_column_name: Optional[str] = None,
weight_column: Optional[str] = None,
time_series_attribute_columns: Optional[List[str]] = None,
context_window: Optional[int] = None,
export_evaluated_data_items: bool = False,
export_evaluated_data_items_bigquery_destination_uri: Optional[str] = None,
export_evaluated_data_items_override_destination: bool = False,
quantiles: Optional[List[float]] = None,
validation_options: Optional[str] = None,
budget_milli_node_hours: int = 1000,
model_display_name: Optional[str] = None,
model_labels: Optional[Dict[str, str]] = None,
model_id: Optional[str] = None,
parent_model: Optional[str] = None,
is_default_version: Optional[bool] = True,
model_version_aliases: Optional[Sequence[str]] = None,
model_version_description: Optional[str] = None,
additional_experiments: Optional[List[str]] = None,
hierarchy_group_columns: Optional[List[str]] = None,
hierarchy_group_total_weight: Optional[float] = None,
hierarchy_temporal_total_weight: Optional[float] = None,
hierarchy_group_temporal_total_weight: Optional[float] = None,
window_column: Optional[str] = None,
window_stride_length: Optional[int] = None,
window_max_count: Optional[int] = None,
holiday_regions: Optional[List[str]] = None,
sync: bool = True,
create_request_timeout: Optional[float] = None,
) -> models.Model:
return super().run(
dataset=dataset,
target_column=target_column,
time_column=time_column,
time_series_identifier_column=time_series_identifier_column,
unavailable_at_forecast_columns=unavailable_at_forecast_columns,
available_at_forecast_columns=available_at_forecast_columns,
forecast_horizon=forecast_horizon,
data_granularity_unit=data_granularity_unit,
data_granularity_count=data_granularity_count,
training_fraction_split=training_fraction_split,
validation_fraction_split=validation_fraction_split,
test_fraction_split=test_fraction_split,
predefined_split_column_name=predefined_split_column_name,
timestamp_split_column_name=timestamp_split_column_name,
model_id=model_id,
parent_model=parent_model,
is_default_version=is_default_version,
model_version_aliases=model_version_aliases,
model_version_description=model_version_description,
weight_column=weight_column,
time_series_attribute_columns=time_series_attribute_columns,
context_window=context_window,
budget_milli_node_hours=budget_milli_node_hours,
export_evaluated_data_items=export_evaluated_data_items,
export_evaluated_data_items_bigquery_destination_uri=export_evaluated_data_items_bigquery_destination_uri,
export_evaluated_data_items_override_destination=export_evaluated_data_items_override_destination,
quantiles=quantiles,
validation_options=validation_options,
model_display_name=model_display_name,
model_labels=model_labels,
additional_experiments=additional_experiments,
hierarchy_group_columns=hierarchy_group_columns,
hierarchy_group_total_weight=hierarchy_group_total_weight,
hierarchy_temporal_total_weight=hierarchy_temporal_total_weight,
hierarchy_group_temporal_total_weight=hierarchy_group_temporal_total_weight,
window_column=window_column,
window_stride_length=window_stride_length,
window_max_count=window_max_count,
holiday_regions=holiday_regions,
sync=sync,
create_request_timeout=create_request_timeout,
)


class AutoMLImageTrainingJob(_TrainingJob):
_supported_training_schemas = (
Expand Down