com.amazonaws.services.machinelearning

Class AmazonMachineLearningClient

java.lang.Object

com.amazonaws.AmazonWebServiceClient

com.amazonaws.services.machinelearning.AmazonMachineLearningClient

All Implemented Interfaces:

AmazonMachineLearning

public class AmazonMachineLearningClient
extends AmazonWebServiceClient
implements AmazonMachineLearning

Client for accessing AmazonMachineLearning. All service calls made using this client are blocking, and will not return until the service call completes.

Definition of the public APIs exposed by Amazon Machine Learning

Field Summary

Fields

Modifier and Type	Field and Description
protected List<com.amazonaws.transform.JsonErrorUnmarshaller>	jsonErrorUnmarshallers List of exception unmarshallers for all AmazonMachineLearning exceptions.

Fields inherited from class com.amazonaws.AmazonWebServiceClient

client, clientConfiguration, endpoint, LOGGING_AWS_REQUEST_METRIC, requestHandler2s, timeOffset

Constructor Summary

Constructors

Constructor and Description
AmazonMachineLearningClient() Deprecated.
AmazonMachineLearningClient(AWSCredentials awsCredentials) Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials.
AmazonMachineLearningClient(AWSCredentials awsCredentials, ClientConfiguration clientConfiguration) Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials and client configuration options.
AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider) Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider.
AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration) Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider and client configuration options.
AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration, HttpClient httpClient) Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider, client configuration options and request metric collector.
AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration, RequestMetricCollector requestMetricCollector) Deprecated.
AmazonMachineLearningClient(ClientConfiguration clientConfiguration) Deprecated.

Method Summary

Modifier and Type	Method and Description
ResponseMetadata	getCachedResponseMetadata(AmazonWebServiceRequest request) Deprecated. ResponseMetadata cache can hold up to 50 requests and responses in memory and will cause memory issue. This method now always returns null.
GetMLModelResult	getMLModel(GetMLModelRequest getMLModelRequest) Returns the detail metadata, schema, and data file information for a MLModel , as well as current status of the MLModel .
PredictResult	predict(PredictRequest predictRequest) A realtime operation that generates prediction for the observation using given ML Model Id
void	setEndpoint(String endpoint) Overrides the default endpoint for this client ("https://machinelearning.us-east-1.amazonaws.com/").
void	setEndpoint(String endpoint, String serviceName, String regionId)

Methods inherited from class com.amazonaws.AmazonWebServiceClient

addRequestHandler, addRequestHandler, configSigner, configSigner, createExecutionContext, createExecutionContext, createExecutionContext, endClientExecution, endClientExecution, findRequestMetricCollector, getRequestMetricsCollector, getServiceAbbreviation, getServiceName, getServiceNameIntern, getSigner, getSignerByURI, getSignerRegionOverride, getTimeOffset, isProfilingEnabled, isRequestMetricsEnabled, removeRequestHandler, removeRequestHandler, requestMetricCollector, setConfiguration, setRegion, setServiceNameIntern, setSignerRegionOverride, setTimeOffset, shutdown, withTimeOffset

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface com.amazonaws.services.machinelearning.AmazonMachineLearning

setRegion, shutdown

Field Detail

jsonErrorUnmarshallers

protected List<com.amazonaws.transform.JsonErrorUnmarshaller> jsonErrorUnmarshallers

List of exception unmarshallers for all AmazonMachineLearning exceptions.

Constructor Detail

AmazonMachineLearningClient

@Deprecated
public AmazonMachineLearningClient()

Deprecated.

Constructs a new client to invoke service methods on AmazonMachineLearning. A credentials provider chain will be used that searches for credentials in this order:

• Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
• Java System Properties - aws.accessKeyId and aws.secretKey
• Instance profile credentials delivered through the Amazon EC2 metadata service

All service calls made using this new client object are blocking, and will not return until the service call completes.

See Also:

DefaultAWSCredentialsProviderChain

AmazonMachineLearningClient

@Deprecated
public AmazonMachineLearningClient(ClientConfiguration clientConfiguration)

Deprecated.

Constructs a new client to invoke service methods on AmazonMachineLearning. A credentials provider chain will be used that searches for credentials in this order:

• Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
• Java System Properties - aws.accessKeyId and aws.secretKey
• Instance profile credentials delivered through the Amazon EC2 metadata service

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:

clientConfiguration - The client configuration options controlling how this client connects to AmazonMachineLearning (ex: proxy settings, retry counts, etc.).

See Also:

DefaultAWSCredentialsProviderChain

AmazonMachineLearningClient

public AmazonMachineLearningClient(AWSCredentials awsCredentials)

Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials.

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:

awsCredentials - The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.

AmazonMachineLearningClient

public AmazonMachineLearningClient(AWSCredentials awsCredentials,
                                   ClientConfiguration clientConfiguration)

Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials and client configuration options.

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:

awsCredentials - The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.

clientConfiguration - The client configuration options controlling how this client connects to AmazonMachineLearning (ex: proxy settings, retry counts, etc.).

AmazonMachineLearningClient

public AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider)

Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider.

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:

awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.

AmazonMachineLearningClient

public AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider,
                                   ClientConfiguration clientConfiguration)

Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider and client configuration options.

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:

awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.

clientConfiguration - The client configuration options controlling how this client connects to AmazonMachineLearning (ex: proxy settings, retry counts, etc.).

AmazonMachineLearningClient

@Deprecated
public AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider,
                                               ClientConfiguration clientConfiguration,
                                               RequestMetricCollector requestMetricCollector)

Deprecated.

Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider, client configuration options and request metric collector.

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:

awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.

clientConfiguration - The client configuration options controlling how this client connects to AmazonMachineLearning (ex: proxy settings, retry counts, etc.).

requestMetricCollector - optional request metric collector

AmazonMachineLearningClient

public AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider,
                                   ClientConfiguration clientConfiguration,
                                   HttpClient httpClient)

Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider, client configuration options and request metric collector.

All service calls made using this new client object are blocking, and will not return until the service call completes.

Parameters:

awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.

clientConfiguration - The client configuration options controlling how this client connects to AmazonMachineLearning (ex: proxy settings, retry counts, etc.).

httpClient - A http client

Method Detail

predict

public PredictResult predict(PredictRequest predictRequest)

A realtime operation that generates prediction for the observation using given ML Model Id

Note that not all response fields will be populated as this is dependent on the type of requested model

Specified by:

predict in interface AmazonMachineLearning

Parameters:

predictRequest - Container for the necessary parameters to execute the Predict service method on AmazonMachineLearning.

Returns:

The response from the Predict service method, as returned by AmazonMachineLearning.

Throws:

ResourceNotFoundException

InvalidInputException

PredictorNotMountedException

LimitExceededException

InternalServerException

AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.

AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.

getMLModel

public GetMLModelResult getMLModel(GetMLModelRequest getMLModelRequest)

Returns the detail metadata, schema, and data file information for a MLModel , as well as current status of the MLModel .

GetMLModel provides results in normal or verbose format.

Specified by:

getMLModel in interface AmazonMachineLearning

Parameters:

getMLModelRequest - Container for the necessary parameters to execute the GetMLModel service method on AmazonMachineLearning.

Returns:

The response from the GetMLModel service method, as returned by AmazonMachineLearning.

Throws:

ResourceNotFoundException

InvalidInputException

InternalServerException

AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.

AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.

setEndpoint

public void setEndpoint(String endpoint)

Description copied from interface: AmazonMachineLearning

Overrides the default endpoint for this client ("https://machinelearning.us-east-1.amazonaws.com/"). Callers can use this method to control which AWS region they want to work with.

Callers can pass in just the endpoint (ex: "machinelearning.us-east-1.amazonaws.com/") or a full URL, including the protocol (ex: "https://machinelearning.us-east-1.amazonaws.com/"). If the protocol is not specified here, the default protocol from this client's ClientConfiguration will be used, which by default is HTTPS.

For more information on using AWS regions with the AWS SDK for Java, and a complete list of all available endpoints for all AWS services, see: http://developer.amazonwebservices.com/connect/entry.jspa?externalID=3912

This method is not threadsafe. An endpoint should be configured when the client is created and before any service requests are made. Changing it afterwards creates inevitable race conditions for any service requests in transit or retrying.

Specified by:

setEndpoint in interface AmazonMachineLearning

Overrides:

setEndpoint in class AmazonWebServiceClient

Parameters:

endpoint - The endpoint (ex: "machinelearning.us-east-1.amazonaws.com/") or a full URL, including the protocol (ex: "https://machinelearning.us-east-1.amazonaws.com/") of the region specific AWS endpoint this client will communicate with.

setEndpoint

public void setEndpoint(String endpoint,
                        String serviceName,
                        String regionId)
                 throws IllegalArgumentException

Overrides:

setEndpoint in class AmazonWebServiceClient

Throws:

IllegalArgumentException

getCachedResponseMetadata

@Deprecated
public ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)

Deprecated. ResponseMetadata cache can hold up to 50 requests and responses in memory and will cause memory issue. This method now always returns null.

Returns additional metadata for a previously executed successful, request, typically used for debugging issues where a service isn't acting as expected. This data isn't considered part of the result data returned by an operation, so it's available through this separate, diagnostic interface.

Response metadata is only cached for a limited period of time, so if you need to access this extra diagnostic information for an executed request, you should use this method to retrieve it as soon as possible after executing the request.

Specified by:

getCachedResponseMetadata in interface AmazonMachineLearning

Parameters:

request - The originally executed request

Returns:

The response metadata for the specified request, or null if none is available.