public sealed class AutoMlImageClassificationInputs : IMessage<AutoMlImageClassificationInputs>, IEquatable<AutoMlImageClassificationInputs>, IDeepCloneable<AutoMlImageClassificationInputs>, IBufferMessage, IMessage
Inheritance
object >
AutoMlImageClassificationInputs
Namespace
Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition
Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
public AutoMlImageClassificationInputs()
public AutoMlImageClassificationInputs(AutoMlImageClassificationInputs other)
Properties
public string BaseModelId { get; set; }
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.
| Property Value |
| Type |
Description |
string |
|
public long BudgetMilliNodeHours { get; set; }
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.
| Property Value |
| Type |
Description |
long |
|
public bool DisableEarlyStopping { get; set; }
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.
| Property Value |
| Type |
Description |
bool |
|
public AutoMlImageClassificationInputs.Types.ModelType ModelType { get; set; }
public bool MultiLabel { get; set; }
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).
| Property Value |
| Type |
Description |
bool |
|
