AWS SDK for C++
1.8.127
AWS SDK for C++
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#include <CreateLabelingJobRequest.h>
Additional Inherited Members | |
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virtual void | DumpBodyToUrl (Aws::Http::URI &uri) const |
Definition at line 28 of file CreateLabelingJobRequest.h.
Aws::SageMaker::Model::CreateLabelingJobRequest::CreateLabelingJobRequest | ( | ) |
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An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
Definition at line 709 of file CreateLabelingJobRequest.h.
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An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
Definition at line 717 of file CreateLabelingJobRequest.h.
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Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).
Definition at line 622 of file CreateLabelingJobRequest.h.
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Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
Definition at line 203 of file CreateLabelingJobRequest.h.
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The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The name can't end with "-metadata". If you are running a semantic segmentation labeling job, the attribute name must end with "-ref". If you are running any other kind of labeling job, the attribute name must not end with "-ref".
Definition at line 125 of file CreateLabelingJobRequest.h.
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The S3 URI of the file, referred to as a label category configuration file, that defines the categories used to label the data objects.
For 3D point cloud and video frame task types, you can add label category attributes and frame attributes to your label category configuration file. To learn how, see Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs.
For all other built-in task types and custom tasks, your label category configuration file must be a JSON file in the following format. Identify the labels you want to use by replacing label_1
, label_2
,...
,label_n
with your label categories.
{
"document-version": "2018-11-28"
"labels": [
{
"label": "<i>label_1</i>"
},
{
"label": "<i>label_2</i>"
},
...
{
"label": "<i>label_n</i>"
}
]
}
Definition at line 366 of file CreateLabelingJobRequest.h.
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Configures the information required to perform automated data labeling.
Definition at line 590 of file CreateLabelingJobRequest.h.
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The name of the labeling job. This name is used to identify the job in a list of labeling jobs. Labeling job names must be unique within an AWS account and region. LabelingJobName
is not case sensitive. For example, Example-job and example-job are considered the same labeling job name by Ground Truth.
Definition at line 51 of file CreateLabelingJobRequest.h.
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The location of the output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
Definition at line 245 of file CreateLabelingJobRequest.h.
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overridevirtual |
Reimplemented from Aws::SageMaker::SageMakerRequest.
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The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
Definition at line 284 of file CreateLabelingJobRequest.h.
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inlineoverridevirtual |
Implements Aws::AmazonWebServiceRequest.
Definition at line 37 of file CreateLabelingJobRequest.h.
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A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
Definition at line 549 of file CreateLabelingJobRequest.h.
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An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
Definition at line 661 of file CreateLabelingJobRequest.h.
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Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).
Definition at line 628 of file CreateLabelingJobRequest.h.
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Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
Definition at line 210 of file CreateLabelingJobRequest.h.
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The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The name can't end with "-metadata". If you are running a semantic segmentation labeling job, the attribute name must end with "-ref". If you are running any other kind of labeling job, the attribute name must not end with "-ref".
Definition at line 135 of file CreateLabelingJobRequest.h.
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The S3 URI of the file, referred to as a label category configuration file, that defines the categories used to label the data objects.
For 3D point cloud and video frame task types, you can add label category attributes and frame attributes to your label category configuration file. To learn how, see Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs.
For all other built-in task types and custom tasks, your label category configuration file must be a JSON file in the following format. Identify the labels you want to use by replacing label_1
, label_2
,...
,label_n
with your label categories.
{
"document-version": "2018-11-28"
"labels": [
{
"label": "<i>label_1</i>"
},
{
"label": "<i>label_2</i>"
},
...
{
"label": "<i>label_n</i>"
}
]
}
Definition at line 391 of file CreateLabelingJobRequest.h.
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Configures the information required to perform automated data labeling.
Definition at line 595 of file CreateLabelingJobRequest.h.
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inline |
The name of the labeling job. This name is used to identify the job in a list of labeling jobs. Labeling job names must be unique within an AWS account and region. LabelingJobName
is not case sensitive. For example, Example-job and example-job are considered the same labeling job name by Ground Truth.
Definition at line 60 of file CreateLabelingJobRequest.h.
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The location of the output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
Definition at line 251 of file CreateLabelingJobRequest.h.
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The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
Definition at line 292 of file CreateLabelingJobRequest.h.
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Convert payload into String.
Implements Aws::AmazonSerializableWebServiceRequest.
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Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).
Definition at line 634 of file CreateLabelingJobRequest.h.
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Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).
Definition at line 640 of file CreateLabelingJobRequest.h.
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Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
Definition at line 217 of file CreateLabelingJobRequest.h.
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Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
Definition at line 224 of file CreateLabelingJobRequest.h.
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The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The name can't end with "-metadata". If you are running a semantic segmentation labeling job, the attribute name must end with "-ref". If you are running any other kind of labeling job, the attribute name must not end with "-ref".
Definition at line 155 of file CreateLabelingJobRequest.h.
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The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The name can't end with "-metadata". If you are running a semantic segmentation labeling job, the attribute name must end with "-ref". If you are running any other kind of labeling job, the attribute name must not end with "-ref".
Definition at line 145 of file CreateLabelingJobRequest.h.
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The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The name can't end with "-metadata". If you are running a semantic segmentation labeling job, the attribute name must end with "-ref". If you are running any other kind of labeling job, the attribute name must not end with "-ref".
Definition at line 165 of file CreateLabelingJobRequest.h.
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The S3 URI of the file, referred to as a label category configuration file, that defines the categories used to label the data objects.
For 3D point cloud and video frame task types, you can add label category attributes and frame attributes to your label category configuration file. To learn how, see Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs.
For all other built-in task types and custom tasks, your label category configuration file must be a JSON file in the following format. Identify the labels you want to use by replacing label_1
, label_2
,...
,label_n
with your label categories.
{
"document-version": "2018-11-28"
"labels": [
{
"label": "<i>label_1</i>"
},
{
"label": "<i>label_2</i>"
},
...
{
"label": "<i>label_n</i>"
}
]
}
Definition at line 441 of file CreateLabelingJobRequest.h.
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inline |
The S3 URI of the file, referred to as a label category configuration file, that defines the categories used to label the data objects.
For 3D point cloud and video frame task types, you can add label category attributes and frame attributes to your label category configuration file. To learn how, see Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs.
For all other built-in task types and custom tasks, your label category configuration file must be a JSON file in the following format. Identify the labels you want to use by replacing label_1
, label_2
,...
,label_n
with your label categories.
{
"document-version": "2018-11-28"
"labels": [
{
"label": "<i>label_1</i>"
},
{
"label": "<i>label_2</i>"
},
...
{
"label": "<i>label_n</i>"
}
]
}
Definition at line 416 of file CreateLabelingJobRequest.h.
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inline |
The S3 URI of the file, referred to as a label category configuration file, that defines the categories used to label the data objects.
For 3D point cloud and video frame task types, you can add label category attributes and frame attributes to your label category configuration file. To learn how, see Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs.
For all other built-in task types and custom tasks, your label category configuration file must be a JSON file in the following format. Identify the labels you want to use by replacing label_1
, label_2
,...
,label_n
with your label categories.
{
"document-version": "2018-11-28"
"labels": [
{
"label": "<i>label_1</i>"
},
{
"label": "<i>label_2</i>"
},
...
{
"label": "<i>label_n</i>"
}
]
}
Definition at line 466 of file CreateLabelingJobRequest.h.
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inline |
Configures the information required to perform automated data labeling.
Definition at line 600 of file CreateLabelingJobRequest.h.
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Configures the information required to perform automated data labeling.
Definition at line 605 of file CreateLabelingJobRequest.h.
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inline |
The name of the labeling job. This name is used to identify the job in a list of labeling jobs. Labeling job names must be unique within an AWS account and region. LabelingJobName
is not case sensitive. For example, Example-job and example-job are considered the same labeling job name by Ground Truth.
Definition at line 78 of file CreateLabelingJobRequest.h.
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inline |
The name of the labeling job. This name is used to identify the job in a list of labeling jobs. Labeling job names must be unique within an AWS account and region. LabelingJobName
is not case sensitive. For example, Example-job and example-job are considered the same labeling job name by Ground Truth.
Definition at line 69 of file CreateLabelingJobRequest.h.
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inline |
The name of the labeling job. This name is used to identify the job in a list of labeling jobs. Labeling job names must be unique within an AWS account and region. LabelingJobName
is not case sensitive. For example, Example-job and example-job are considered the same labeling job name by Ground Truth.
Definition at line 87 of file CreateLabelingJobRequest.h.
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The location of the output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
Definition at line 257 of file CreateLabelingJobRequest.h.
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The location of the output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
Definition at line 263 of file CreateLabelingJobRequest.h.
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The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
Definition at line 308 of file CreateLabelingJobRequest.h.
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The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
Definition at line 300 of file CreateLabelingJobRequest.h.
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The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
Definition at line 316 of file CreateLabelingJobRequest.h.
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A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
Definition at line 563 of file CreateLabelingJobRequest.h.
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inline |
A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
Definition at line 570 of file CreateLabelingJobRequest.h.
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inline |
An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
Definition at line 685 of file CreateLabelingJobRequest.h.
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inline |
An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
Definition at line 677 of file CreateLabelingJobRequest.h.
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inline |
A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
Definition at line 556 of file CreateLabelingJobRequest.h.
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inline |
An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
Definition at line 669 of file CreateLabelingJobRequest.h.
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inline |
Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).
Definition at line 646 of file CreateLabelingJobRequest.h.
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inline |
Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).
Definition at line 652 of file CreateLabelingJobRequest.h.
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inline |
Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
Definition at line 231 of file CreateLabelingJobRequest.h.
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inline |
Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
Definition at line 238 of file CreateLabelingJobRequest.h.
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inline |
The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The name can't end with "-metadata". If you are running a semantic segmentation labeling job, the attribute name must end with "-ref". If you are running any other kind of labeling job, the attribute name must not end with "-ref".
Definition at line 185 of file CreateLabelingJobRequest.h.
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The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The name can't end with "-metadata". If you are running a semantic segmentation labeling job, the attribute name must end with "-ref". If you are running any other kind of labeling job, the attribute name must not end with "-ref".
Definition at line 175 of file CreateLabelingJobRequest.h.
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The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The name can't end with "-metadata". If you are running a semantic segmentation labeling job, the attribute name must end with "-ref". If you are running any other kind of labeling job, the attribute name must not end with "-ref".
Definition at line 195 of file CreateLabelingJobRequest.h.
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The S3 URI of the file, referred to as a label category configuration file, that defines the categories used to label the data objects.
For 3D point cloud and video frame task types, you can add label category attributes and frame attributes to your label category configuration file. To learn how, see Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs.
For all other built-in task types and custom tasks, your label category configuration file must be a JSON file in the following format. Identify the labels you want to use by replacing label_1
, label_2
,...
,label_n
with your label categories.
{
"document-version": "2018-11-28"
"labels": [
{
"label": "<i>label_1</i>"
},
{
"label": "<i>label_2</i>"
},
...
{
"label": "<i>label_n</i>"
}
]
}
Definition at line 516 of file CreateLabelingJobRequest.h.
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inline |
The S3 URI of the file, referred to as a label category configuration file, that defines the categories used to label the data objects.
For 3D point cloud and video frame task types, you can add label category attributes and frame attributes to your label category configuration file. To learn how, see Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs.
For all other built-in task types and custom tasks, your label category configuration file must be a JSON file in the following format. Identify the labels you want to use by replacing label_1
, label_2
,...
,label_n
with your label categories.
{
"document-version": "2018-11-28"
"labels": [
{
"label": "<i>label_1</i>"
},
{
"label": "<i>label_2</i>"
},
...
{
"label": "<i>label_n</i>"
}
]
}
Definition at line 491 of file CreateLabelingJobRequest.h.
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inline |
The S3 URI of the file, referred to as a label category configuration file, that defines the categories used to label the data objects.
For 3D point cloud and video frame task types, you can add label category attributes and frame attributes to your label category configuration file. To learn how, see Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs.
For all other built-in task types and custom tasks, your label category configuration file must be a JSON file in the following format. Identify the labels you want to use by replacing label_1
, label_2
,...
,label_n
with your label categories.
{
"document-version": "2018-11-28"
"labels": [
{
"label": "<i>label_1</i>"
},
{
"label": "<i>label_2</i>"
},
...
{
"label": "<i>label_n</i>"
}
]
}
Definition at line 541 of file CreateLabelingJobRequest.h.
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inline |
Configures the information required to perform automated data labeling.
Definition at line 610 of file CreateLabelingJobRequest.h.
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Configures the information required to perform automated data labeling.
Definition at line 615 of file CreateLabelingJobRequest.h.
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inline |
The name of the labeling job. This name is used to identify the job in a list of labeling jobs. Labeling job names must be unique within an AWS account and region. LabelingJobName
is not case sensitive. For example, Example-job and example-job are considered the same labeling job name by Ground Truth.
Definition at line 105 of file CreateLabelingJobRequest.h.
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inline |
The name of the labeling job. This name is used to identify the job in a list of labeling jobs. Labeling job names must be unique within an AWS account and region. LabelingJobName
is not case sensitive. For example, Example-job and example-job are considered the same labeling job name by Ground Truth.
Definition at line 96 of file CreateLabelingJobRequest.h.
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inline |
The name of the labeling job. This name is used to identify the job in a list of labeling jobs. Labeling job names must be unique within an AWS account and region. LabelingJobName
is not case sensitive. For example, Example-job and example-job are considered the same labeling job name by Ground Truth.
Definition at line 114 of file CreateLabelingJobRequest.h.
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The location of the output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
Definition at line 269 of file CreateLabelingJobRequest.h.
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inline |
The location of the output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
Definition at line 275 of file CreateLabelingJobRequest.h.
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inline |
The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
Definition at line 332 of file CreateLabelingJobRequest.h.
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inline |
The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
Definition at line 324 of file CreateLabelingJobRequest.h.
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inline |
The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
Definition at line 340 of file CreateLabelingJobRequest.h.
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inline |
A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
Definition at line 577 of file CreateLabelingJobRequest.h.
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inline |
A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
Definition at line 584 of file CreateLabelingJobRequest.h.
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inline |
An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
Definition at line 701 of file CreateLabelingJobRequest.h.
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inline |
An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
Definition at line 693 of file CreateLabelingJobRequest.h.