2016/06/07 - Amazon Machine Learning - 3 new api methods
Adds one or more tags to an object, up to a limit of 10. Each tag consists of a key and an optional value. If you add a tag using a key that is already associated with the ML object, AddTags updates the tag's value.
Request Syntax
client.add_tags(
Tags=[
{
'Key': 'string',
'Value': 'string'
},
],
ResourceId='string',
ResourceType='BatchPrediction'|'DataSource'|'Evaluation'|'MLModel'
)
list
[REQUIRED]
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.
(dict) --
A custom key-value pair associated with an ML object, such as an ML model.
Key (string) --
A unique identifier for the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.
Value (string) --
An optional string, typically used to describe or define the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.
string
[REQUIRED]
The ID of the ML object to tag. For example, exampleModelId .
string
[REQUIRED]
The type of the ML object to tag.
dict
Response Syntax
{
'ResourceId': 'string',
'ResourceType': 'BatchPrediction'|'DataSource'|'Evaluation'|'MLModel'
}
Response Structure
(dict) --
Amazon ML returns the following elements.
ResourceId (string) --
The ID of the ML object that was tagged.
ResourceType (string) --
The type of the ML object that was tagged.
Describes one or more of the tags for your Amazon ML object.
Request Syntax
client.describe_tags(
ResourceId='string',
ResourceType='BatchPrediction'|'DataSource'|'Evaluation'|'MLModel'
)
string
[REQUIRED]
The ID of the ML object. For example, exampleModelId .
string
[REQUIRED]
The type of the ML object.
dict
Response Syntax
{
'ResourceId': 'string',
'ResourceType': 'BatchPrediction'|'DataSource'|'Evaluation'|'MLModel',
'Tags': [
{
'Key': 'string',
'Value': 'string'
},
]
}
Response Structure
(dict) --
Amazon ML returns the following elements.
ResourceId (string) --
The ID of the tagged ML object.
ResourceType (string) --
The type of the tagged ML object.
Tags (list) --
A list of tags associated with the ML object.
(dict) --
A custom key-value pair associated with an ML object, such as an ML model.
Key (string) --
A unique identifier for the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.
Value (string) --
An optional string, typically used to describe or define the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.
Deletes the specified tags associated with an ML object. After this operation is complete, you can't recover deleted tags.
If you specify a tag that doesn't exist, Amazon ML ignores it.
Request Syntax
client.delete_tags(
TagKeys=[
'string',
],
ResourceId='string',
ResourceType='BatchPrediction'|'DataSource'|'Evaluation'|'MLModel'
)
list
[REQUIRED]
One or more tags to delete.
(string) --
string
[REQUIRED]
The ID of the tagged ML object. For example, exampleModelId .
string
[REQUIRED]
The type of the tagged ML object.
dict
Response Syntax
{
'ResourceId': 'string',
'ResourceType': 'BatchPrediction'|'DataSource'|'Evaluation'|'MLModel'
}
Response Structure
(dict) --
Amazon ML returns the following elements.
ResourceId (string) --
The ID of the ML object from which tags were deleted.
ResourceType (string) --
The type of the ML object from which tags were deleted.