LookoutforVision / Client / describe_model
describe_model#
- LookoutforVision.Client.describe_model(**kwargs)#
Describes a version of an Amazon Lookout for Vision model.
This operation requires permissions to perform the
lookoutvision:DescribeModel
operation.See also: AWS API Documentation
Request Syntax
response = client.describe_model( ProjectName='string', ModelVersion='string' )
- Parameters:
ProjectName (string) –
[REQUIRED]
The project that contains the version of a model that you want to describe.
ModelVersion (string) –
[REQUIRED]
The version of the model that you want to describe.
- Return type:
dict
- Returns:
Response Syntax
{ 'ModelDescription': { 'ModelVersion': 'string', 'ModelArn': 'string', 'CreationTimestamp': datetime(2015, 1, 1), 'Description': 'string', 'Status': 'TRAINING'|'TRAINED'|'TRAINING_FAILED'|'STARTING_HOSTING'|'HOSTED'|'HOSTING_FAILED'|'STOPPING_HOSTING'|'SYSTEM_UPDATING'|'DELETING', 'StatusMessage': 'string', 'Performance': { 'F1Score': ..., 'Recall': ..., 'Precision': ... }, 'OutputConfig': { 'S3Location': { 'Bucket': 'string', 'Prefix': 'string' } }, 'EvaluationManifest': { 'Bucket': 'string', 'Key': 'string' }, 'EvaluationResult': { 'Bucket': 'string', 'Key': 'string' }, 'EvaluationEndTimestamp': datetime(2015, 1, 1), 'KmsKeyId': 'string', 'MinInferenceUnits': 123, 'MaxInferenceUnits': 123 } }
Response Structure
(dict) –
ModelDescription (dict) –
Contains the description of the model.
ModelVersion (string) –
The version of the model
ModelArn (string) –
The Amazon Resource Name (ARN) of the model.
CreationTimestamp (datetime) –
The unix timestamp for the date and time that the model was created.
Description (string) –
The description for the model.
Status (string) –
The status of the model.
StatusMessage (string) –
The status message for the model.
Performance (dict) –
Performance metrics for the model. Created during training.
F1Score (float) –
The overall F1 score metric for the trained model.
Recall (float) –
The overall recall metric value for the trained model.
Precision (float) –
The overall precision metric value for the trained model.
OutputConfig (dict) –
The S3 location where Amazon Lookout for Vision saves model training files.
S3Location (dict) –
The S3 location for the output.
Bucket (string) –
The S3 bucket that contains the training or model packaging job output. If you are training a model, the bucket must in your AWS account. If you use an S3 bucket for a model packaging job, the S3 bucket must be in the same AWS Region and AWS account in which you use AWS IoT Greengrass.
Prefix (string) –
The path of the folder, within the S3 bucket, that contains the output.
EvaluationManifest (dict) –
The S3 location where Amazon Lookout for Vision saves the manifest file that was used to test the trained model and generate the performance scores.
Bucket (string) –
The bucket that contains the training output.
Key (string) –
The location of the training output in the bucket.
EvaluationResult (dict) –
The S3 location where Amazon Lookout for Vision saves the performance metrics.
Bucket (string) –
The bucket that contains the training output.
Key (string) –
The location of the training output in the bucket.
EvaluationEndTimestamp (datetime) –
The unix timestamp for the date and time that the evaluation ended.
KmsKeyId (string) –
The identifer for the AWS Key Management Service (AWS KMS) key that was used to encrypt the model during training.
MinInferenceUnits (integer) –
The minimum number of inference units used by the model. For more information, see StartModel
MaxInferenceUnits (integer) –
The maximum number of inference units Amazon Lookout for Vision uses to auto-scale the model. For more information, see StartModel.
Exceptions