2016/06/07 - Amazon Machine Learning - 3 new api methods
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 @.
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.
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.