Class: AWS.LookoutVision

Inherits:

AWS.Service

Object
AWS.Service
AWS.LookoutVision

show all

Identifier:: lookoutvision

API Version:: 2020-11-20

Defined in:: (unknown)

Overview

Constructs a service interface object. Each API operation is exposed as a function on service.

Service Description

This is the Amazon Lookout for Vision API Reference. It provides descriptions of actions, data types, common parameters, and common errors.

Amazon Lookout for Vision enables you to find visual defects in industrial products, accurately and at scale. It uses computer vision to identify missing components in an industrial product, damage to vehicles or structures, irregularities in production lines, and even minuscule defects in silicon wafers — or any other physical item where quality is important such as a missing capacitor on printed circuit boards.

Sending a Request Using LookoutVision

var lookoutvision = new AWS.LookoutVision();
lookoutvision.createDataset(params, function (err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Locking the API Version

In order to ensure that the LookoutVision object uses this specific API, you can construct the object by passing the apiVersion option to the constructor:

var lookoutvision = new AWS.LookoutVision({apiVersion: '2020-11-20'});

You can also set the API version globally in AWS.config.apiVersions using the lookoutvision service identifier:

AWS.config.apiVersions = {
  lookoutvision: '2020-11-20',
  // other service API versions
};

var lookoutvision = new AWS.LookoutVision();

Version:

2020-11-20

Constructor Summary collapse

new AWS.LookoutVision(options = {}) ⇒ Object constructor
Constructs a service object.

Property Summary collapse

endpoint ⇒ AWS.Endpoint readwrite
An Endpoint object representing the endpoint URL for service requests.

Properties inherited from AWS.Service

apiVersions

Method Summary collapse

createDataset(params = {}, callback) ⇒ AWS.Request
Creates a new dataset in an Amazon Lookout for Vision project.
createModel(params = {}, callback) ⇒ AWS.Request
Creates a new version of a model within an an Amazon Lookout for Vision project.
createProject(params = {}, callback) ⇒ AWS.Request
Creates an empty Amazon Lookout for Vision project.
deleteDataset(params = {}, callback) ⇒ AWS.Request
Deletes an existing Amazon Lookout for Vision dataset.
deleteModel(params = {}, callback) ⇒ AWS.Request
Deletes an Amazon Lookout for Vision model.
deleteProject(params = {}, callback) ⇒ AWS.Request
Deletes an Amazon Lookout for Vision project.
describeDataset(params = {}, callback) ⇒ AWS.Request
Describe an Amazon Lookout for Vision dataset.
describeModel(params = {}, callback) ⇒ AWS.Request
Describes a version of an Amazon Lookout for Vision model.
describeProject(params = {}, callback) ⇒ AWS.Request
Describes an Amazon Lookout for Vision project.
detectAnomalies(params = {}, callback) ⇒ AWS.Request
Detects anomalies in an image that you supply.
listDatasetEntries(params = {}, callback) ⇒ AWS.Request
Lists the JSON Lines within a dataset.
listModels(params = {}, callback) ⇒ AWS.Request
Lists the versions of a model in an Amazon Lookout for Vision project.
listProjects(params = {}, callback) ⇒ AWS.Request
Lists the Amazon Lookout for Vision projects in your AWS account.
startModel(params = {}, callback) ⇒ AWS.Request
Starts the running of the version of an Amazon Lookout for Vision model.
stopModel(params = {}, callback) ⇒ AWS.Request
Stops a running model.
updateDatasetEntries(params = {}, callback) ⇒ AWS.Request
Adds one or more JSON Line entries to a dataset.

Methods inherited from AWS.Service

makeRequest, makeUnauthenticatedRequest, waitFor, setupRequestListeners, defineService

Constructor Details

new AWS.LookoutVision(options = {}) ⇒ `Object`

Constructs a service object. This object has one method for each API operation.

Examples:

Constructing a LookoutVision object

var lookoutvision = new AWS.LookoutVision({apiVersion: '2020-11-20'});

Options Hash (options):

params (map) —
An optional map of parameters to bind to every request sent by this service object. For more information on bound parameters, see "Working with Services" in the Getting Started Guide.
endpoint (String|AWS.Endpoint) —
The endpoint URI to send requests to. The default endpoint is built from the configured region. The endpoint should be a string like 'https://{service}.{region}.amazonaws.com' or an Endpoint object.
accessKeyId (String) —
your AWS access key ID.
secretAccessKey (String) —
your AWS secret access key.
sessionToken (AWS.Credentials) —
the optional AWS session token to sign requests with.
credentials (AWS.Credentials) —
the AWS credentials to sign requests with. You can either specify this object, or specify the accessKeyId and secretAccessKey options directly.
credentialProvider (AWS.CredentialProviderChain) —
the provider chain used to resolve credentials if no static credentials property is set.
region (String) —
the region to send service requests to. See AWS.LookoutVision.region for more information.
maxRetries (Integer) —
the maximum amount of retries to attempt with a request. See AWS.LookoutVision.maxRetries for more information.
maxRedirects (Integer) —
the maximum amount of redirects to follow with a request. See AWS.LookoutVision.maxRedirects for more information.
sslEnabled (Boolean) —
whether to enable SSL for requests.
paramValidation (Boolean|map) —
whether input parameters should be validated against the operation description before sending the request. Defaults to true. Pass a map to enable any of the following specific validation features:
- min [Boolean] — Validates that a value meets the min constraint. This is enabled by default when paramValidation is set to true.
- max [Boolean] — Validates that a value meets the max constraint.
- pattern [Boolean] — Validates that a string value matches a regular expression.
- enum [Boolean] — Validates that a string value matches one of the allowable enum values.
computeChecksums (Boolean) —
whether to compute checksums for payload bodies when the service accepts it (currently supported in S3 only)
convertResponseTypes (Boolean) —
whether types are converted when parsing response data. Currently only supported for JSON based services. Turning this off may improve performance on large response payloads. Defaults to true.
correctClockSkew (Boolean) —
whether to apply a clock skew correction and retry requests that fail because of an skewed client clock. Defaults to false.
s3ForcePathStyle (Boolean) —
whether to force path style URLs for S3 objects.
s3BucketEndpoint (Boolean) —
whether the provided endpoint addresses an individual bucket (false if it addresses the root API endpoint). Note that setting this configuration option requires an endpoint to be provided explicitly to the service constructor.
s3DisableBodySigning (Boolean) —
whether S3 body signing should be disabled when using signature version v4. Body signing can only be disabled when using https. Defaults to true.
s3UsEast1RegionalEndpoint ('legacy'|'regional') —
when region is set to 'us-east-1', whether to send s3 request to global endpoints or 'us-east-1' regional endpoints. This config is only applicable to S3 client. Defaults to legacy
s3UseArnRegion (Boolean) —
whether to override the request region with the region inferred from requested resource's ARN. Only available for S3 buckets Defaults to true
retryDelayOptions (map) —
A set of options to configure the retry delay on retryable errors. Currently supported options are:
- base [Integer] — The base number of milliseconds to use in the exponential backoff for operation retries. Defaults to 100 ms for all services except DynamoDB, where it defaults to 50ms.
- customBackoff [function] — A custom function that accepts a retry count and error and returns the amount of time to delay in milliseconds. If the result is a non-zero negative value, no further retry attempts will be made. The base option will be ignored if this option is supplied. The function is only called for retryable errors.
httpOptions (map) —
A set of options to pass to the low-level HTTP request. Currently supported options are:
- proxy [String] — the URL to proxy requests through
- agent [http.Agent, https.Agent] — the Agent object to perform HTTP requests with. Used for connection pooling. Defaults to the global agent (http.globalAgent) for non-SSL connections. Note that for SSL connections, a special Agent object is used in order to enable peer certificate verification. This feature is only available in the Node.js environment.
- connectTimeout [Integer] — Sets the socket to timeout after failing to establish a connection with the server after connectTimeout milliseconds. This timeout has no effect once a socket connection has been established.
- timeout [Integer] — Sets the socket to timeout after timeout milliseconds of inactivity on the socket. Defaults to two minutes (120000).
- xhrAsync [Boolean] — Whether the SDK will send asynchronous HTTP requests. Used in the browser environment only. Set to false to send requests synchronously. Defaults to true (async on).
- xhrWithCredentials [Boolean] — Sets the "withCredentials" property of an XMLHttpRequest object. Used in the browser environment only. Defaults to false.
apiVersion (String, Date) —
a String in YYYY-MM-DD format (or a date) that represents the latest possible API version that can be used in all services (unless overridden by apiVersions). Specify 'latest' to use the latest possible version.
apiVersions (map<String, String|Date>) —
a map of service identifiers (the lowercase service class name) with the API version to use when instantiating a service. Specify 'latest' for each individual that can use the latest available version.
logger (#write, #log) —
an object that responds to .write() (like a stream) or .log() (like the console object) in order to log information about requests
systemClockOffset (Number) —
an offset value in milliseconds to apply to all signing times. Use this to compensate for clock skew when your system may be out of sync with the service time. Note that this configuration option can only be applied to the global AWS.config object and cannot be overridden in service-specific configuration. Defaults to 0 milliseconds.
signatureVersion (String) —
the signature version to sign requests with (overriding the API configuration). Possible values are: 'v2', 'v3', 'v4'.
signatureCache (Boolean) —
whether the signature to sign requests with (overriding the API configuration) is cached. Only applies to the signature version 'v4'. Defaults to true.
dynamoDbCrc32 (Boolean) —
whether to validate the CRC32 checksum of HTTP response bodies returned by DynamoDB. Default: true.
useAccelerateEndpoint (Boolean) —
Whether to use the S3 Transfer Acceleration endpoint with the S3 service. Default: false.
clientSideMonitoring (Boolean) —
whether to collect and publish this client's performance metrics of all its API requests.
endpointDiscoveryEnabled (Boolean|undefined) —
whether to call operations with endpoints given by service dynamically. Setting this
endpointCacheSize (Number) —
the size of the global cache storing endpoints from endpoint discovery operations. Once endpoint cache is created, updating this setting cannot change existing cache size. Defaults to 1000
hostPrefixEnabled (Boolean) —
whether to marshal request parameters to the prefix of hostname. Defaults to true.
stsRegionalEndpoints ('legacy'|'regional') —
whether to send sts request to global endpoints or regional endpoints. Defaults to 'legacy'.

Property Details

endpoint ⇒ `AWS.Endpoint` (readwrite)

Returns an Endpoint object representing the endpoint URL for service requests.

Returns:

(AWS.Endpoint) —
an Endpoint object representing the endpoint URL for service requests.

Method Details

createDataset(params = {}, callback) ⇒ `AWS.Request`

Creates a new dataset in an Amazon Lookout for Vision project. CreateDataset can create a training or a test dataset from a valid dataset source (DatasetSource).

If you want a single dataset project, specify train for the value of DatasetType.

To have a project with separate training and test datasets, call CreateDataset twice. On the first call, specify train for the value of DatasetType. On the second call, specify test for the value of DatasetType. of dataset with

Service Reference:

CreateDataset

Examples:

Calling the createDataset operation

var params = {
  DatasetType: 'STRING_VALUE', /* required */
  ProjectName: 'STRING_VALUE', /* required */
  ClientToken: 'STRING_VALUE',
  DatasetSource: {
    GroundTruthManifest: {
      S3Object: {
        Bucket: 'STRING_VALUE', /* required */
        Key: 'STRING_VALUE', /* required */
        VersionId: 'STRING_VALUE'
      }
    }
  }
};
lookoutvision.createDataset(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project in which you want to create a dataset.
- DatasetType — (String)
  The type of the dataset. Specify train for a training dataset. Specify test for a test dataset.
- DatasetSource — (map)
  The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.
  
  If you don't specify DatasetSource, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling UpdateDatasetEntries.
  
  If you specify a value for DataSource, the manifest at the S3 location is validated and used to create the dataset. The call to CreateDataset is asynchronous and might take a while to complete. To find out the current status, Check the value of Status returned in a call to DescribeDataset.
  - GroundTruthManifest — (map)
    Location information for the manifest file.
    - S3Object — (map)
      The S3 bucket location for the manifest file.
      
      Bucket — required — (String)
      The Amazon S3 bucket that contains the manifest.
      
      Key — required — (String)
      The name and location of the manifest file withiin the bucket.
      
      VersionId — (String)
      The version ID of the bucket.
- ClientToken — (String)
  ClientToken is an idempotency token that ensures a call to CreateDataset completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from CreateDataset. In this case, safely retry your call to CreateDataset by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to CreateDataset. An idempotency token is active for 8 hours.
  If a token is not provided, the SDK will use a version 4 UUID.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - DatasetMetadata — (map)
    Information about the dataset.
    
    DatasetType — (String)
    The type of the dataset.
    
    CreationTimestamp — (Date)
    The Unix timestamp for the date and time that the dataset was created.
    
    Status — (String)
    The status for the dataset.
    Possible values include:
    
    "CREATE_IN_PROGRESS"
    
    "CREATE_COMPLETE"
    
    "CREATE_FAILED"
    
    "UPDATE_IN_PROGRESS"
    
    "UPDATE_COMPLETE"
    
    "UPDATE_FAILED_ROLLBACK_IN_PROGRESS"
    
    "UPDATE_FAILED_ROLLBACK_COMPLETE"
    
    "DELETE_IN_PROGRESS"
    
    "DELETE_COMPLETE"
    
    "DELETE_FAILED"
    
    StatusMessage — (String)
    The status message for the dataset.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

createModel(params = {}, callback) ⇒ `AWS.Request`

Creates a new version of a model within an an Amazon Lookout for Vision project. CreateModel is an asynchronous operation in which Amazon Lookout for Vision trains, tests, and evaluates a new version of a model.

To get the current status, check the Status field returned in the response from DescribeModel.

If the project has a single dataset, Amazon Lookout for Vision internally splits the dataset to create a training and a test dataset. If the project has a training and a test dataset, Lookout for Vision uses the respective datasets to train and test the model.

After training completes, the evaluation metrics are stored at the location specified in OutputConfig.

Service Reference:

CreateModel

Examples:

Calling the createModel operation

var params = {
  OutputConfig: { /* required */
    S3Location: { /* required */
      Bucket: 'STRING_VALUE', /* required */
      Prefix: 'STRING_VALUE'
    }
  },
  ProjectName: 'STRING_VALUE', /* required */
  ClientToken: 'STRING_VALUE',
  Description: {
    CreationTimestamp: new Date || 'Wed Dec 31 1969 16:00:00 GMT-0800 (PST)' || 123456789,
    Description: 'STRING_VALUE',
    EvaluationEndTimestamp: new Date || 'Wed Dec 31 1969 16:00:00 GMT-0800 (PST)' || 123456789,
    EvaluationManifest: {
      Bucket: 'STRING_VALUE', /* required */
      Key: 'STRING_VALUE' /* required */
    },
    EvaluationResult: {
      Bucket: 'STRING_VALUE', /* required */
      Key: 'STRING_VALUE' /* required */
    },
    KmsKeyId: 'STRING_VALUE',
    ModelArn: 'STRING_VALUE',
    ModelVersion: 'STRING_VALUE',
    OutputConfig: {
      S3Location: { /* required */
        Bucket: 'STRING_VALUE', /* required */
        Prefix: 'STRING_VALUE'
      }
    },
    Performance: {
      F1Score: 'NUMBER_VALUE',
      Precision: 'NUMBER_VALUE',
      Recall: 'NUMBER_VALUE'
    },
    Status: TRAINING | TRAINED | TRAINING_FAILED | STARTING_HOSTING | HOSTED | HOSTING_FAILED | STOPPING_HOSTING | SYSTEM_UPDATING | DELETING,
    StatusMessage: 'STRING_VALUE'
  },
  KmsKeyId: 'STRING_VALUE'
};
lookoutvision.createModel(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project in which you want to create a model version.
- Description — (map)
  A description for the version of the model.
  - ModelVersion — (String)
    The version of the model
  - ModelArn — (String)
    The Amazon Resource Name (ARN) of the model.
  - CreationTimestamp — (Date)
    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.
    Possible values include:
    - "TRAINING"
    - "TRAINED"
    - "TRAINING_FAILED"
    - "STARTING_HOSTING"
    - "HOSTED"
    - "HOSTING_FAILED"
    - "STOPPING_HOSTING"
    - "SYSTEM_UPDATING"
    - "DELETING"
  - StatusMessage — (String)
    The status message for the model.
  - Performance — (map)
    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 — (map)
    The S3 location where Amazon Lookout for Vision saves model training files.
    - S3Location — required — (map)
      The S3 location for the output.
      
      Bucket — required — (String)
      The S3 bucket that contain the manifest file.
      
      Prefix — (String)
      The path and name of the manifest file with the S3 bucket.
  - EvaluationManifest — (map)
    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 — required — (String)
      The bucket that contains the training output.
    - Key — required — (String)
      The location of the training output in the bucket.
  - EvaluationResult — (map)
    The S3 location where Amazon Lookout for Vision saves the performance metrics.
    - Bucket — required — (String)
      The bucket that contains the training output.
    - Key — required — (String)
      The location of the training output in the bucket.
  - EvaluationEndTimestamp — (Date)
    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.
- ClientToken — (String)
  ClientToken is an idempotency token that ensures a call to CreateModel completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from CreateModel. In this case, safely retry your call to CreateModel by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to CreateModel. An idempotency token is active for 8 hours.
  If a token is not provided, the SDK will use a version 4 UUID.
- OutputConfig — (map)
  The location where Amazon Lookout for Vision saves the training results.
  - S3Location — required — (map)
    The S3 location for the output.
    - Bucket — required — (String)
      The S3 bucket that contain the manifest file.
    - Prefix — (String)
      The path and name of the manifest file with the S3 bucket.
- KmsKeyId — (String)
  The identifier of the AWS Key Management Service (AWS KMS) customer master key (CMK) to use for encypting the model. If this parameter is not specified, the model is encrypted by a key that AWS owns and manages.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - ModelMetadata — (map)
    The response from a call to CreateModel.
    
    CreationTimestamp — (Date)
    The unix timestamp for the date and time that the model was created.
    
    ModelVersion — (String)
    The version of the model.
    
    ModelArn — (String)
    The Amazon Resource Name (ARN) of the model.
    
    Description — (String)
    The description for the model.
    
    Status — (String)
    The status of the model.
    Possible values include:
    
    "TRAINING"
    
    "TRAINED"
    
    "TRAINING_FAILED"
    
    "STARTING_HOSTING"
    
    "HOSTED"
    
    "HOSTING_FAILED"
    
    "STOPPING_HOSTING"
    
    "SYSTEM_UPDATING"
    
    "DELETING"
    
    StatusMessage — (String)
    The status message for the model.
    
    Performance — (map)
    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.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

createProject(params = {}, callback) ⇒ `AWS.Request`

Creates an empty Amazon Lookout for Vision project. After you create the project, add a dataset by calling CreateDataset.

Service Reference:

CreateProject

Examples:

Calling the createProject operation

var params = {
  ProjectName: 'STRING_VALUE', /* required */
  ClientToken: 'STRING_VALUE'
};
lookoutvision.createProject(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  S nsme for the project.
- ClientToken — (String)
  ClientToken is an idempotency token that ensures a call to CreateProject completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from CreateProject. In this case, safely retry your call to CreateProject by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to CreateProject. An idempotency token is active for 8 hours.
  If a token is not provided, the SDK will use a version 4 UUID.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - ProjectMetadata — (map)
    Information about the project.
    
    ProjectArn — (String)
    The Amazon Resource Name (ARN) of the project.
    
    ProjectName — (String)
    The name of the project.
    
    CreationTimestamp — (Date)
    The unix timestamp for the date and time that the project was created.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

deleteDataset(params = {}, callback) ⇒ `AWS.Request`

Deletes an existing Amazon Lookout for Vision dataset.

If your the project has a single dataset, you must create a new dataset before you can create a model.

If you project has a training dataset and a test dataset consider the following.

If you delete the test dataset, your project reverts to a single dataset project. If you then train the model, Amazon Lookout for Vision internally splits the remaining dataset into a training and test dataset.
If you delete the training dataset, you must create a training dataset before you can create a model.

It might take a while to delete the dataset. To check the current status, check the Status field in the response from a call to DescribeDataset.

Service Reference:

DeleteDataset

Examples:

Calling the deleteDataset operation

var params = {
  DatasetType: 'STRING_VALUE', /* required */
  ProjectName: 'STRING_VALUE', /* required */
  ClientToken: 'STRING_VALUE'
};
lookoutvision.deleteDataset(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project that contains the dataset that you want to delete.
- DatasetType — (String)
  The type of the dataset to delete. Specify train to delete the training dataset. Specify test to delete the test dataset. To delete the dataset in a single dataset project, specify train.
- ClientToken — (String)
  ClientToken is an idempotency token that ensures a call to DeleteDataset completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from DeleteDataset. In this case, safely retry your call to DeleteDataset by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to DeleteDataset. An idempotency token is active for 8 hours.
  If a token is not provided, the SDK will use a version 4 UUID.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

deleteModel(params = {}, callback) ⇒ `AWS.Request`

Deletes an Amazon Lookout for Vision model. You can't delete a running model. To stop a running model, use the StopModel operation.

Service Reference:

DeleteModel

Examples:

Calling the deleteModel operation

var params = {
  ModelVersion: 'STRING_VALUE', /* required */
  ProjectName: 'STRING_VALUE', /* required */
  ClientToken: 'STRING_VALUE'
};
lookoutvision.deleteModel(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project that contains the model that you want to delete.
- ModelVersion — (String)
  The version of the model that you want to delete.
- ClientToken — (String)
  ClientToken is an idempotency token that ensures a call to DeleteModel completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from DeleteModel. In this case, safely retry your call to DeleteModel by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to DeleteModel. An idempotency token is active for 8 hours.
  If a token is not provided, the SDK will use a version 4 UUID.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - ModelArn — (String)
    The Amazon Resource Name (ARN) of the model that was deleted.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

deleteProject(params = {}, callback) ⇒ `AWS.Request`

Deletes an Amazon Lookout for Vision project.

To delete a project, you must first delete each version of the model associated with the project. To delete a model use the DeleteModel operation.

The training and test datasets are deleted automatically for you. The images referenced by the training and test datasets aren't deleted.

Service Reference:

DeleteProject

Examples:

Calling the deleteProject operation

var params = {
  ProjectName: 'STRING_VALUE', /* required */
  ClientToken: 'STRING_VALUE'
};
lookoutvision.deleteProject(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project to delete.
- ClientToken — (String)
  ClientToken is an idempotency token that ensures a call to DeleteProject completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from DeleteProject. In this case, safely retry your call to DeleteProject by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to DeleteProject. An idempotency token is active for 8 hours.
  If a token is not provided, the SDK will use a version 4 UUID.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - ProjectArn — (String)
    The Amazon Resource Name (ARN) of the project that was deleted.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

describeDataset(params = {}, callback) ⇒ `AWS.Request`

Describe an Amazon Lookout for Vision dataset.

Service Reference:

DescribeDataset

Examples:

Calling the describeDataset operation

var params = {
  DatasetType: 'STRING_VALUE', /* required */
  ProjectName: 'STRING_VALUE' /* required */
};
lookoutvision.describeDataset(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project that contains the dataset that you want to describe.
- DatasetType — (String)
  The type of the dataset to describe. Specify train to describe the training dataset. Specify test to describe the test dataset. If you have a single dataset project, specify train

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - DatasetDescription — (map)
    The description of the requested dataset.
    
    ProjectName — (String)
    The name of the project that contains the dataset.
    
    DatasetType — (String)
    The type of the dataset. The value train represents a training dataset or single dataset project. The value test represents a test dataset.
    
    CreationTimestamp — (Date)
    The Unix timestamp for the time and date that the dataset was created.
    
    LastUpdatedTimestamp — (Date)
    The Unix timestamp for the date and time that the dataset was last updated.
    
    Status — (String)
    The status of the dataset.
    Possible values include:
    
    "CREATE_IN_PROGRESS"
    
    "CREATE_COMPLETE"
    
    "CREATE_FAILED"
    
    "UPDATE_IN_PROGRESS"
    
    "UPDATE_COMPLETE"
    
    "UPDATE_FAILED_ROLLBACK_IN_PROGRESS"
    
    "UPDATE_FAILED_ROLLBACK_COMPLETE"
    
    "DELETE_IN_PROGRESS"
    
    "DELETE_COMPLETE"
    
    "DELETE_FAILED"
    
    StatusMessage — (String)
    The status message for the dataset.
    
    ImageStats — (map)
    
    Total — (Integer)
    The total number of images in the dataset.
    
    Labeled — (Integer)
    The total number of labeled images.
    
    Normal — (Integer)
    The total number of images labeled as normal.
    
    Anomaly — (Integer)
    the total number of images labeled as an anomaly.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

describeModel(params = {}, callback) ⇒ `AWS.Request`

Describes a version of an Amazon Lookout for Vision model.

Service Reference:

DescribeModel

Examples:

Calling the describeModel operation

var params = {
  ModelVersion: 'STRING_VALUE', /* required */
  ProjectName: 'STRING_VALUE' /* required */
};
lookoutvision.describeModel(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The project that contains the version of a model that you want to describe.
- ModelVersion — (String)
  The version of the model that you want to describe.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - ModelDescription — (map)
    Contains the description of the model.
    
    ModelVersion — (String)
    The version of the model
    
    ModelArn — (String)
    The Amazon Resource Name (ARN) of the model.
    
    CreationTimestamp — (Date)
    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.
    Possible values include:
    
    "TRAINING"
    
    "TRAINED"
    
    "TRAINING_FAILED"
    
    "STARTING_HOSTING"
    
    "HOSTED"
    
    "HOSTING_FAILED"
    
    "STOPPING_HOSTING"
    
    "SYSTEM_UPDATING"
    
    "DELETING"
    
    StatusMessage — (String)
    The status message for the model.
    
    Performance — (map)
    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 — (map)
    The S3 location where Amazon Lookout for Vision saves model training files.
    
    S3Location — required — (map)
    The S3 location for the output.
    
    Bucket — required — (String)
    The S3 bucket that contain the manifest file.
    
    Prefix — (String)
    The path and name of the manifest file with the S3 bucket.
    
    EvaluationManifest — (map)
    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 — required — (String)
    The bucket that contains the training output.
    
    Key — required — (String)
    The location of the training output in the bucket.
    
    EvaluationResult — (map)
    The S3 location where Amazon Lookout for Vision saves the performance metrics.
    
    Bucket — required — (String)
    The bucket that contains the training output.
    
    Key — required — (String)
    The location of the training output in the bucket.
    
    EvaluationEndTimestamp — (Date)
    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.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

describeProject(params = {}, callback) ⇒ `AWS.Request`

Describes an Amazon Lookout for Vision project.

Service Reference:

DescribeProject

Examples:

Calling the describeProject operation

var params = {
  ProjectName: 'STRING_VALUE' /* required */
};
lookoutvision.describeProject(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project that you want to describe.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - ProjectDescription — (map)
    The description of the project.
    
    ProjectArn — (String)
    The Amazon Resource Name (ARN) of the project.
    
    ProjectName — (String)
    The name of the project.
    
    CreationTimestamp — (Date)
    The unix timestamp for the date and time that the project was created.
    
    Datasets — (Array<map>)
    A list of datasets in the project.
    
    DatasetType — (String)
    The type of the dataset.
    
    CreationTimestamp — (Date)
    The Unix timestamp for the date and time that the dataset was created.
    
    Status — (String)
    The status for the dataset.
    Possible values include:
    
    "CREATE_IN_PROGRESS"
    
    "CREATE_COMPLETE"
    
    "CREATE_FAILED"
    
    "UPDATE_IN_PROGRESS"
    
    "UPDATE_COMPLETE"
    
    "UPDATE_FAILED_ROLLBACK_IN_PROGRESS"
    
    "UPDATE_FAILED_ROLLBACK_COMPLETE"
    
    "DELETE_IN_PROGRESS"
    
    "DELETE_COMPLETE"
    
    "DELETE_FAILED"
    
    StatusMessage — (String)
    The status message for the dataset.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

detectAnomalies(params = {}, callback) ⇒ `AWS.Request`

Detects anomalies in an image that you supply.

The response from DetectAnomalies includes a boolean prediction that the image contains one or more anomalies and a confidence value for the prediction.

Note: Before calling DetectAnomalies, you must first start your model with the StartModel operation. You are charged for the amount of time, in minutes, that a model runs and for the number of anomaly detection units that your model uses. If you are not using a model, use the StopModel operation to stop your model.

Service Reference:

DetectAnomalies

Examples:

Calling the detectAnomalies operation

var params = {
  Body: Buffer.from('...') || 'STRING_VALUE' || streamObject, /* required */
  ContentType: 'STRING_VALUE', /* required */
  ModelVersion: 'STRING_VALUE', /* required */
  ProjectName: 'STRING_VALUE' /* required */
};
lookoutvision.detectAnomalies(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project that contains the model version that you want to use.
- ModelVersion — (String)
  The version of the model that you want to use.
- Body — (Buffer, Typed Array, Blob, String, ReadableStream)
  The unencrypted image bytes that you want to analyze.
- ContentType — (String)
  The type of the image passed in Body. Valid values are image/png (PNG format images) and image/jpeg (JPG format images).

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - DetectAnomalyResult — (map)
    The results of the DetectAnomalies operation.
    
    Source — (map)
    The source of the image that was analyzed. direct means that the images was supplied from the local computer. No other values are supported.
    
    Type — (String)
    The type of the image.
    
    IsAnomalous — (Boolean)
    True if the image contains an anomaly, otherwise false.
    
    Confidence — (Float)
    The confidence that Amazon Lookout for Vision has in the accuracy of the prediction.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

listDatasetEntries(params = {}, callback) ⇒ `AWS.Request`

Lists the JSON Lines within a dataset. An Amazon Lookout for Vision JSON Line contains the anomaly information for a single image, including the image location and the assigned label.

Service Reference:

ListDatasetEntries

Examples:

Calling the listDatasetEntries operation

var params = {
  DatasetType: 'STRING_VALUE', /* required */
  ProjectName: 'STRING_VALUE', /* required */
  AfterCreationDate: new Date || 'Wed Dec 31 1969 16:00:00 GMT-0800 (PST)' || 123456789,
  AnomalyClass: 'STRING_VALUE',
  BeforeCreationDate: new Date || 'Wed Dec 31 1969 16:00:00 GMT-0800 (PST)' || 123456789,
  Labeled: true || false,
  MaxResults: 'NUMBER_VALUE',
  NextToken: 'STRING_VALUE',
  SourceRefContains: 'STRING_VALUE'
};
lookoutvision.listDatasetEntries(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project that contains the dataset that you want to list.
- DatasetType — (String)
  The type of the dataset that you want to list. Specify train to list the training dataset. Specify test to list the test dataset. If you have a single dataset project, specify train.
- Labeled — (Boolean)
  Specify true to include labeled entries, otherwise specify false. If you don't specify a value, Lookout for Vision returns all entries.
- AnomalyClass — (String)
  Specify normal to include only normal images. Specify anomaly to only include anomalous entries. If you don't specify a value, Amazon Lookout for Vision returns normal and anomalous images.
- BeforeCreationDate — (Date)
  Only includes entries before the specified date in the response. For example, 2020-06-23T00:00:00.
- AfterCreationDate — (Date)
  Only includes entries after the specified date in the response. For example, 2020-06-23T00:00:00.
- NextToken — (String)
  If the previous response was incomplete (because there is more data to retrieve), Amazon Lookout for Vision returns a pagination token in the response. You can use this pagination token to retrieve the next set of dataset entries.
- MaxResults — (Integer)
  The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.
- SourceRefContains — (String)
  Perform a "contains" search on the values of the source-ref key within the dataset. For example a value of "IMG_17" returns all JSON Lines where the source-ref key value matches IMG_17.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - DatasetEntries — (Array<String>)
    A list of the entries (JSON Lines) within the dataset.
  - NextToken — (String)
    If the response is truncated, Amazon Lookout for Vision returns this token that you can use in the subsequent request to retrieve the next set ofdataset entries.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

listModels(params = {}, callback) ⇒ `AWS.Request`

Lists the versions of a model in an Amazon Lookout for Vision project.

Service Reference:

ListModels

Examples:

Calling the listModels operation

var params = {
  ProjectName: 'STRING_VALUE', /* required */
  MaxResults: 'NUMBER_VALUE',
  NextToken: 'STRING_VALUE'
};
lookoutvision.listModels(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project that contains the model versions that you want to list.
- NextToken — (String)
  If the previous response was incomplete (because there is more data to retrieve), Amazon Lookout for Vision returns a pagination token in the response. You can use this pagination token to retrieve the next set of models.
- MaxResults — (Integer)
  The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - Models — (Array<map>)
    A list of model versions in the specified project.
    
    CreationTimestamp — (Date)
    The unix timestamp for the date and time that the model was created.
    
    ModelVersion — (String)
    The version of the model.
    
    ModelArn — (String)
    The Amazon Resource Name (ARN) of the model.
    
    Description — (String)
    The description for the model.
    
    Status — (String)
    The status of the model.
    Possible values include:
    
    "TRAINING"
    
    "TRAINED"
    
    "TRAINING_FAILED"
    
    "STARTING_HOSTING"
    
    "HOSTED"
    
    "HOSTING_FAILED"
    
    "STOPPING_HOSTING"
    
    "SYSTEM_UPDATING"
    
    "DELETING"
    
    StatusMessage — (String)
    The status message for the model.
    
    Performance — (map)
    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.
  - NextToken — (String)
    If the response is truncated, Amazon Lookout for Vision returns this token that you can use in the subsequent request to retrieve the next set of models.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

listProjects(params = {}, callback) ⇒ `AWS.Request`

Lists the Amazon Lookout for Vision projects in your AWS account.

Service Reference:

ListProjects

Examples:

Calling the listProjects operation

var params = {
  MaxResults: 'NUMBER_VALUE',
  NextToken: 'STRING_VALUE'
};
lookoutvision.listProjects(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- NextToken — (String)
  If the previous response was incomplete (because there is more data to retrieve), Amazon Lookout for Vision returns a pagination token in the response. You can use this pagination token to retrieve the next set of projects.
- MaxResults — (Integer)
  The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - Projects — (Array<map>)
    A list of projects in your AWS account.
    
    ProjectArn — (String)
    The Amazon Resource Name (ARN) of the project.
    
    ProjectName — (String)
    The name of the project.
    
    CreationTimestamp — (Date)
    The unix timestamp for the date and time that the project was created.
  - NextToken — (String)
    If the response is truncated, Amazon Lookout for Vision returns this token that you can use in the subsequent request to retrieve the next set of projects.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

startModel(params = {}, callback) ⇒ `AWS.Request`

Starts the running of the version of an Amazon Lookout for Vision model. Starting a model takes a while to complete. To check the current state of the model, use DescribeModel.

Once the model is running, you can detect custom labels in new images by calling DetectAnomalies.

Note: You are charged for the amount of time that the model is running. To stop a running model, call StopModel.

Service Reference:

StartModel

Examples:

Calling the startModel operation

var params = {
  MinInferenceUnits: 'NUMBER_VALUE', /* required */
  ModelVersion: 'STRING_VALUE', /* required */
  ProjectName: 'STRING_VALUE', /* required */
  ClientToken: 'STRING_VALUE'
};
lookoutvision.startModel(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project that contains the model that you want to start.
- ModelVersion — (String)
  The version of the model that you want to start.
- MinInferenceUnits — (Integer)
  The minimum number of inference units to use. A single inference unit represents 1 hour of processing and can support up to 5 Transaction Pers Second (TPS). Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.
- ClientToken — (String)
  ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.
  If a token is not provided, the SDK will use a version 4 UUID.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - Status — (String)
    The current running status of the model.
    Possible values include:
    
    "RUNNING"
    
    "STARTING"
    
    "STOPPED"
    
    "FAILED"

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

stopModel(params = {}, callback) ⇒ `AWS.Request`

Stops a running model. The operation might take a while to complete. To check the current status, call DescribeModel.

Service Reference:

StopModel

Examples:

Calling the stopModel operation

var params = {
  ModelVersion: 'STRING_VALUE', /* required */
  ProjectName: 'STRING_VALUE', /* required */
  ClientToken: 'STRING_VALUE'
};
lookoutvision.stopModel(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project that contains the model that you want to stop.
- ModelVersion — (String)
  The version of the model that you want to stop.
- ClientToken — (String)
  ClientToken is an idempotency token that ensures a call to StopModel completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from StopModel. In this case, safely retry your call to StopModel by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StopModel. An idempotency token is active for 8 hours.
  If a token is not provided, the SDK will use a version 4 UUID.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - Status — (String)
    The status of the model.
    Possible values include:
    
    "RUNNING"
    
    "STARTING"
    
    "STOPPED"
    
    "FAILED"

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

updateDatasetEntries(params = {}, callback) ⇒ `AWS.Request`

Adds one or more JSON Line entries to a dataset. A JSON Line includes information about an image used for training or testing an Amazon Lookout for Vision model. The following is an example JSON Line.

Updating a dataset might take a while to complete. To check the current status, call DescribeDataset and check the Status field in the response.

Service Reference:

UpdateDatasetEntries

Examples:

Calling the updateDatasetEntries operation

var params = {
  Changes: Buffer.from('...') || 'STRING_VALUE' /* Strings will be Base-64 encoded on your behalf */, /* required */
  DatasetType: 'STRING_VALUE', /* required */
  ProjectName: 'STRING_VALUE', /* required */
  ClientToken: 'STRING_VALUE'
};
lookoutvision.updateDatasetEntries(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ProjectName — (String)
  The name of the project that contains the dataset that you want to update.
- DatasetType — (String)
  The type of the dataset that you want to update. Specify train to update the training dataset. Specify test to update the test dataset. If you have a single dataset project, specify train.
- Changes — (Buffer, Typed Array, Blob, String)
  The entries to add to the dataset.
- ClientToken — (String)
  ClientToken is an idempotency token that ensures a call to UpdateDatasetEntries completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from UpdateDatasetEntries. In this case, safely retry your call to UpdateDatasetEntries by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to UpdateDatasetEntries. An idempotency token is active for 8 hours.
  If a token is not provided, the SDK will use a version 4 UUID.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - Status — (String)
    The status of the dataset update.
    Possible values include:
    
    "CREATE_IN_PROGRESS"
    
    "CREATE_COMPLETE"
    
    "CREATE_FAILED"
    
    "UPDATE_IN_PROGRESS"
    
    "UPDATE_COMPLETE"
    
    "UPDATE_FAILED_ROLLBACK_IN_PROGRESS"
    
    "UPDATE_FAILED_ROLLBACK_COMPLETE"
    
    "DELETE_IN_PROGRESS"
    
    "DELETE_COMPLETE"
    
    "DELETE_FAILED"

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

Class: AWS.LookoutVision

Overview

Service Description

Sending a Request Using LookoutVision

Locking the API Version

Constructor Summary collapse

Property Summary collapse

Properties inherited from AWS.Service

Method Summary collapse

Methods inherited from AWS.Service

Constructor Details

new AWS.LookoutVision(options = {}) ⇒ Object

Property Details

endpoint ⇒ AWS.Endpoint (readwrite)

Method Details

createDataset(params = {}, callback) ⇒ AWS.Request

createModel(params = {}, callback) ⇒ AWS.Request

createProject(params = {}, callback) ⇒ AWS.Request

deleteDataset(params = {}, callback) ⇒ AWS.Request

deleteModel(params = {}, callback) ⇒ AWS.Request

deleteProject(params = {}, callback) ⇒ AWS.Request

describeDataset(params = {}, callback) ⇒ AWS.Request

describeModel(params = {}, callback) ⇒ AWS.Request

describeProject(params = {}, callback) ⇒ AWS.Request

detectAnomalies(params = {}, callback) ⇒ AWS.Request

listDatasetEntries(params = {}, callback) ⇒ AWS.Request

listModels(params = {}, callback) ⇒ AWS.Request

listProjects(params = {}, callback) ⇒ AWS.Request

startModel(params = {}, callback) ⇒ AWS.Request

stopModel(params = {}, callback) ⇒ AWS.Request

updateDatasetEntries(params = {}, callback) ⇒ AWS.Request

new AWS.LookoutVision(options = {}) ⇒ `Object`

endpoint ⇒ `AWS.Endpoint` (readwrite)

createDataset(params = {}, callback) ⇒ `AWS.Request`

createModel(params = {}, callback) ⇒ `AWS.Request`

createProject(params = {}, callback) ⇒ `AWS.Request`

deleteDataset(params = {}, callback) ⇒ `AWS.Request`

deleteModel(params = {}, callback) ⇒ `AWS.Request`

deleteProject(params = {}, callback) ⇒ `AWS.Request`

describeDataset(params = {}, callback) ⇒ `AWS.Request`

describeModel(params = {}, callback) ⇒ `AWS.Request`

describeProject(params = {}, callback) ⇒ `AWS.Request`

detectAnomalies(params = {}, callback) ⇒ `AWS.Request`

listDatasetEntries(params = {}, callback) ⇒ `AWS.Request`

listModels(params = {}, callback) ⇒ `AWS.Request`

listProjects(params = {}, callback) ⇒ `AWS.Request`

startModel(params = {}, callback) ⇒ `AWS.Request`

stopModel(params = {}, callback) ⇒ `AWS.Request`

updateDatasetEntries(params = {}, callback) ⇒ `AWS.Request`