Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb
Instance Attribute Summary collapse
-
#base_model_id ⇒ String
The ID of the
basemodel. -
#budget_milli_node_hours ⇒ Fixnum
The training budget of creating this model, expressed in milli node hours i.e.
-
#model_type ⇒ String
Corresponds to the JSON property
modelType.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs
constructor
A new instance of GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs
Returns a new instance of GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs.
18605 18606 18607 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 18605 def initialize(**args) update!(**args) end |
Instance Attribute Details
#base_model_id ⇒ String
The ID of the base model. If it is specified, the new model will be trained
based on the base model. Otherwise, the new model will be trained from
scratch. The base model must be in the same Project and Location as the new
Model to train, and have the same modelType.
Corresponds to the JSON property baseModelId
18583 18584 18585 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 18583 def base_model_id @base_model_id end |
#budget_milli_node_hours ⇒ Fixnum
The training budget of creating this model, expressed in milli node hours i.e.
1,000 value in this field means 1 node hour. The actual metadata.
costMilliNodeHours will be equal or less than this value. If further model
training ceases to provide any improvements, it will stop without using the
full budget and the metadata.successfulStopReason will be model-converged.
Note, node_hour = actual_hour * number_of_nodes_involved. Or
actual_wall_clock_hours = train_budget_milli_node_hours / (
number_of_nodes_involved * 1000) For modelType cloud-high-accuracy-1(default)
, the budget must be between 20,000 and 2,000,000 milli node hours, inclusive.
The default value is 192,000 which represents one day in wall time (1000 milli
- 24 hours * 8 nodes).
Corresponds to the JSON property
budgetMilliNodeHours
18598 18599 18600 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 18598 def budget_milli_node_hours @budget_milli_node_hours end |
#model_type ⇒ String
Corresponds to the JSON property modelType
18603 18604 18605 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 18603 def model_type @model_type end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
18610 18611 18612 18613 18614 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 18610 def update!(**args) @base_model_id = args[:base_model_id] if args.key?(:base_model_id) @budget_milli_node_hours = args[:budget_milli_node_hours] if args.key?(:budget_milli_node_hours) @model_type = args[:model_type] if args.key?(:model_type) end |