NAME

Paws::MachineLearning::AddTags - Arguments for method AddTags on Paws::MachineLearning

DESCRIPTION

This class represents the parameters used for calling the method AddTags on the Amazon Machine Learning service. Use the attributes of this class as arguments to method AddTags.

You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to AddTags.

SYNOPSIS

    my $machinelearning = Paws->service('MachineLearning');
    my $AddTagsOutput = $machinelearning->AddTags(
      ResourceId   => 'MyEntityId',
      ResourceType => 'BatchPrediction',
      Tags         => [
        {
          Key   => 'MyTagKey',      # min: 1, max: 128; OPTIONAL
          Value => 'MyTagValue',    # max: 256; OPTIONAL
        },
        ...
      ],
    );
    # Results:
    my $ResourceId   = $AddTagsOutput->ResourceId;
    my $ResourceType = $AddTagsOutput->ResourceType;
    # Returns a L<Paws::MachineLearning::AddTagsOutput> object.

Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see <https://docs.aws.amazon.com/goto/WebAPI/machinelearning/AddTags>

ATTRIBUTES

REQUIRED ResourceId => Str

The ID of the ML object to tag. For example, "exampleModelId".

REQUIRED ResourceType => Str

The type of the ML object to tag.

Valid values are: "BatchPrediction", "DataSource", "Evaluation", "MLModel"

REQUIRED Tags => ArrayRef[Paws::MachineLearning::Tag]

The key-value pairs to use to create tags. If you specify a key without specifying a value, Amazon ML creates a tag with the specified key and a value of null.

BUGS and CONTRIBUTIONS

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>