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AutoMlImageClassificationInputs
(
mapping
=
None
,
*
,
ignore_unknown_fields
=
False
,
**
kwargs
)
Attributes
| Name | Description |
| base_model_id | str
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. |
| budget_milli_node_hours | int
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. For modelType ``cloud``\ (default), the budget must be between 8,000 and 800,000 milli node hours, inclusive. The default value is 192,000 which represents one day in wall time, considering 8 nodes are used. For model types ``mobile-tf-low-latency-1``, ``mobile-tf-versatile-1``, ``mobile-tf-high-accuracy-1``, the training budget must be between 1,000 and 100,000 milli node hours, inclusive. The default value is 24,000 which represents one day in wall time on a single node that is used. |
| disable_early_stopping | bool
Use the entire training budget. This disables the early stopping feature. When false the early stopping feature is enabled, which means that AutoML Image Classification might stop training before the entire training budget has been used. |
| multi_label | bool
If false, a single-label (multi-class) Model will be trained (i.e. assuming that for each image just up to one annotation may be applicable). If true, a multi-label Model will be trained (i.e. assuming that for each image multiple annotations may be applicable). |
Inheritance
builtins.object > proto.message.Message > AutoMlImageClassificationInputsClasses
ModelType
ModelType
(
value
)
API documentation for aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageClassificationInputs.ModelType
class.
