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
base
model. -
#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.
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 25476 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 25454 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 25469 def budget_milli_node_hours @budget_milli_node_hours end |
#model_type ⇒ String
Corresponds to the JSON property modelType
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 25474 def model_type @model_type end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 25481 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 |