Package com.google.cloud.aiplatform.v1.schema.trainingjob.definition

Class AutoMlImageClassificationInputs

    • Field Detail

      • MODEL_TYPE_FIELD_NUMBER

        public static final int MODEL_TYPE_FIELD_NUMBER
        See Also:
        Constant Field Values

      • BASE_MODEL_ID_FIELD_NUMBER

        public static final int BASE_MODEL_ID_FIELD_NUMBER
        See Also:
        Constant Field Values

      • BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER

        public static final int BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER
        See Also:
        Constant Field Values

      • DISABLE_EARLY_STOPPING_FIELD_NUMBER

        public static final int DISABLE_EARLY_STOPPING_FIELD_NUMBER
        See Also:
        Constant Field Values

      • MULTI_LABEL_FIELD_NUMBER

        public static final int MULTI_LABEL_FIELD_NUMBER
        See Also:
        Constant Field Values

    • Method Detail

      • newInstance

        protected Object newInstance​(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
        Overrides:
        newInstance in class com.google.protobuf.GeneratedMessageV3

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3

      • getModelTypeValue

        public int getModelTypeValue()
        .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
        Specified by:
        getModelTypeValue in interface AutoMlImageClassificationInputsOrBuilder
        Returns:
        The enum numeric value on the wire for modelType.

      • getBaseModelId

        public String getBaseModelId()
         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.
        string base_model_id = 2;
        Specified by:
        getBaseModelId in interface AutoMlImageClassificationInputsOrBuilder
        Returns:
        The baseModelId.

      • getBaseModelIdBytes

        public com.google.protobuf.ByteString getBaseModelIdBytes()
         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.
        string base_model_id = 2;
        Specified by:
        getBaseModelIdBytes in interface AutoMlImageClassificationInputsOrBuilder
        Returns:
        The bytes for baseModelId.

      • getBudgetMilliNodeHours

        public long getBudgetMilliNodeHours()
         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.
        int64 budget_milli_node_hours = 3;
        Specified by:
        getBudgetMilliNodeHours in interface AutoMlImageClassificationInputsOrBuilder
        Returns:
        The budgetMilliNodeHours.

      • getDisableEarlyStopping

        public boolean getDisableEarlyStopping()
         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.
        bool disable_early_stopping = 4;
        Specified by:
        getDisableEarlyStopping in interface AutoMlImageClassificationInputsOrBuilder
        Returns:
        The disableEarlyStopping.

      • getMultiLabel

        public boolean getMultiLabel()
         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).
        bool multi_label = 5;
        Specified by:
        getMultiLabel in interface AutoMlImageClassificationInputsOrBuilder
        Returns:
        The multiLabel.

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3

      • writeTo

        public void writeTo​(com.google.protobuf.CodedOutputStream output)
             throws IOException
        Specified by:
        writeTo in interface com.google.protobuf.MessageLite
        Overrides:
        writeTo in class com.google.protobuf.GeneratedMessageV3
        Throws:
        IOException

      • getSerializedSize

        public int getSerializedSize()
        Specified by:
        getSerializedSize in interface com.google.protobuf.MessageLite
        Overrides:
        getSerializedSize in class com.google.protobuf.GeneratedMessageV3

      • equals

        public boolean equals​(Object obj)
        Specified by:
        equals in interface com.google.protobuf.Message
        Overrides:
        equals in class com.google.protobuf.AbstractMessage

      • hashCode

        public int hashCode()
        Specified by:
        hashCode in interface com.google.protobuf.Message
        Overrides:
        hashCode in class com.google.protobuf.AbstractMessage

      • parseFrom

        public static AutoMlImageClassificationInputs parseFrom​(ByteBuffer data)
                                                 throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static AutoMlImageClassificationInputs parseFrom​(ByteBuffer data,
                                                        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                 throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static AutoMlImageClassificationInputs parseFrom​(com.google.protobuf.ByteString data)
                                                 throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static AutoMlImageClassificationInputs parseFrom​(com.google.protobuf.ByteString data,
                                                        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                 throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static AutoMlImageClassificationInputs parseFrom​(byte[] data)
                                                 throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static AutoMlImageClassificationInputs parseFrom​(byte[] data,
                                                        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                 throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • newBuilderForType

        public AutoMlImageClassificationInputs.Builder newBuilderForType()
        Specified by:
        newBuilderForType in interface com.google.protobuf.Message
        Specified by:
        newBuilderForType in interface com.google.protobuf.MessageLite

      • toBuilder

        public AutoMlImageClassificationInputs.Builder toBuilder()
        Specified by:
        toBuilder in interface com.google.protobuf.Message
        Specified by:
        toBuilder in interface com.google.protobuf.MessageLite

      • newBuilderForType

        protected AutoMlImageClassificationInputs.Builder newBuilderForType​(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
        Specified by:
        newBuilderForType in class com.google.protobuf.GeneratedMessageV3

      • getParserForType

        public com.google.protobuf.Parser<AutoMlImageClassificationInputs> getParserForType()
        Specified by:
        getParserForType in interface com.google.protobuf.Message
        Specified by:
        getParserForType in interface com.google.protobuf.MessageLite
        Overrides:
        getParserForType in class com.google.protobuf.GeneratedMessageV3

      • getDefaultInstanceForType

        public AutoMlImageClassificationInputs getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder