Index (AWS SDK for Android - Amazon Machine Learning 2.7.1 API)

A C E F G H I J L M P R S T V W

A

adddetailsEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.Prediction: Provides any additional details regarding the prediction.
addpredictedScoresEntry(String, Float) - Method in class com.amazonaws.services.machinelearning.model.Prediction: Provides the raw classification score corresponding to each label.
addRecordEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: A map of variable name-value pairs that represent an observation.
addTrainingParametersEntry(String, String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A list of the training parameters in the MLModel.
AmazonMachineLearning - Interface in com.amazonaws.services.machinelearning: Interface for accessing Amazon Machine Learning Definition of the public APIs exposed by Amazon Machine Learning
AmazonMachineLearningClient - Class in com.amazonaws.services.machinelearning: Client for accessing Amazon Machine Learning.
AmazonMachineLearningClient() - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deprecated.
AmazonMachineLearningClient(ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deprecated.
AmazonMachineLearningClient(AWSCredentials) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials.
AmazonMachineLearningClient(AWSCredentials, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials and client configuration options.
AmazonMachineLearningClient(AWSCredentialsProvider) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider.
AmazonMachineLearningClient(AWSCredentialsProvider, ClientConfiguration) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider and client configuration options.
AmazonMachineLearningClient(AWSCredentialsProvider, ClientConfiguration, RequestMetricCollector) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deprecated.
AmazonMachineLearningClient(AWSCredentialsProvider, ClientConfiguration, HttpClient) - Constructor for class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Constructs a new client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider, client configuration options and request metric collector.

C

cleardetailsEntries() - Method in class com.amazonaws.services.machinelearning.model.Prediction: Removes all the entries added into details.
clearpredictedScoresEntries() - Method in class com.amazonaws.services.machinelearning.model.Prediction: Removes all the entries added into predictedScores.
clearRecordEntries() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: Removes all the entries added into Record.
clearTrainingParametersEntries() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Removes all the entries added into TrainingParameters.
com.amazonaws.services.machinelearning - package com.amazonaws.services.machinelearning: Definition of the public APIs exposed by Amazon Machine Learning
com.amazonaws.services.machinelearning.model - package com.amazonaws.services.machinelearning.model: Classes modeling the various types represented by AmazonMachineLearning

E

EntityStatus - Enum in com.amazonaws.services.machinelearning.model: Object status with the following possible values:
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.Prediction
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.PredictResult
equals(Object) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

F

fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.EntityStatus: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.MLModelType: Use this in place of valueOf.
fromValue(String) - Static method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus: Use this in place of valueOf.

G

getCachedResponseMetadata(AmazonWebServiceRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Returns additional metadata for a previously executed successful request, typically used for debugging issues where a service isn't acting as expected.
getCachedResponseMetadata(AmazonWebServiceRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Deprecated.
ResponseMetadata cache can hold up to 50 requests and responses in memory and will cause memory issue. This method now always returns null.
getCode() - Method in exception com.amazonaws.services.machinelearning.model.InternalServerException: Returns the value of the code property for this object.
getCode() - Method in exception com.amazonaws.services.machinelearning.model.InvalidInputException: Returns the value of the code property for this object.
getCode() - Method in exception com.amazonaws.services.machinelearning.model.LimitExceededException: Returns the value of the code property for this object.
getCode() - Method in exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException: Returns the value of the code property for this object.
getComputeTime() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the MLModel, normalized and scaled on computation resources.
getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time that the MLModel was created.
getCreatedAt() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The time that the request to create the real-time endpoint for the MLModel was received.
getCreatedByIamUser() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The AWS user account from which the MLModel was created.
getDetails() - Method in class com.amazonaws.services.machinelearning.model.Prediction: Provides any additional details regarding the prediction.
getEndpointInfo() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current endpoint of the MLModel
getEndpointStatus() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The current status of the real-time endpoint for the MLModel .
getEndpointUrl() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The URI that specifies where to send real-time prediction requests for the MLModel.
getFinishedAt() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as COMPLETED or FAILED.
getInputDataLocationS3() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
getLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the MLModel.
getLogUri() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A link to the file that contains logs of the CreateMLModel operation.
getMessage() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A description of the most recent details about accessing the MLModel.
getMLModel(GetMLModelRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.
getMLModel(GetMLModelRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: The ID assigned to the MLModel at creation.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The MLModel ID, which is same as the MLModelId in the request.
getMLModelId() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: A unique identifier of the MLModel.
GetMLModelRequest - Class in com.amazonaws.services.machinelearning.model: Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.
GetMLModelRequest() - Constructor for class com.amazonaws.services.machinelearning.model.GetMLModelRequest
GetMLModelResult - Class in com.amazonaws.services.machinelearning.model: Represents the output of a GetMLModel operation, and provides detailed information about a MLModel.
GetMLModelResult() - Constructor for class com.amazonaws.services.machinelearning.model.GetMLModelResult
getMLModelType() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Identifies the MLModel category.
getName() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A user-supplied name or description of the MLModel.
getPeakRequestsPerSecond() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.
getPredictedLabel() - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction label for either a BINARY or MULTICLASS MLModel.
getPredictedScores() - Method in class com.amazonaws.services.machinelearning.model.Prediction: Provides the raw classification score corresponding to each label.
getPredictedValue() - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction value for REGRESSION MLModel.
getPredictEndpoint() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: Returns the value of the predictEndpoint property for this object.
getPrediction() - Method in class com.amazonaws.services.machinelearning.model.PredictResult: The output from a Predict operation:
getRecipe() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The recipe to use when training the MLModel.
getRecord() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: A map of variable name-value pairs that represent an observation.
getSchema() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The schema used by all of the data files referenced by the DataSource.
getScoreThreshold() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The scoring threshold is used in binary classification MLModel models.
getScoreThresholdLastUpdatedAt() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the ScoreThreshold.
getSizeInBytes() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Long integer type that is a 64-bit signed number.
getStartedAt() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS.
getStatus() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current status of the MLModel.
getTrainingDataSourceId() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The ID of the training DataSource.
getTrainingParameters() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A list of the training parameters in the MLModel.
getVerbose() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: Specifies whether the GetMLModel operation should return Recipe.

H

hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.Prediction
hashCode() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest
hashCode() - Method in class com.amazonaws.services.machinelearning.model.PredictResult
hashCode() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo

I

InternalServerException - Exception in com.amazonaws.services.machinelearning.model: An error on the server occurred when trying to process a request.
InternalServerException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.InternalServerException: Constructs a new InternalServerException with the specified error message.
InvalidInputException - Exception in com.amazonaws.services.machinelearning.model: An error on the client occurred.
InvalidInputException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.InvalidInputException: Constructs a new InvalidInputException with the specified error message.
isVerbose() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: Specifies whether the GetMLModel operation should return Recipe.

J

jsonErrorUnmarshallers - Variable in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: List of exception unmarshallers for all Amazon Machine Learning exceptions.

L

LimitExceededException - Exception in com.amazonaws.services.machinelearning.model: The subscriber exceeded the maximum number of operations.
LimitExceededException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.LimitExceededException: Constructs a new LimitExceededException with the specified error message.

M

MLModelType - Enum in com.amazonaws.services.machinelearning.model: MLModel Type

P

predict(PredictRequest) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Generates a prediction for the observation using the specified ML Model.
predict(PredictRequest) - Method in class com.amazonaws.services.machinelearning.AmazonMachineLearningClient: Generates a prediction for the observation using the specified ML Model.
Prediction - Class in com.amazonaws.services.machinelearning.model: The output from a Predict operation:
Prediction() - Constructor for class com.amazonaws.services.machinelearning.model.Prediction
PredictorNotMountedException - Exception in com.amazonaws.services.machinelearning.model: The exception is thrown when a predict request is made to an unmounted MLModel.
PredictorNotMountedException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.PredictorNotMountedException: Constructs a new PredictorNotMountedException with the specified error message.
PredictRequest - Class in com.amazonaws.services.machinelearning.model: Generates a prediction for the observation using the specified ML Model.
PredictRequest() - Constructor for class com.amazonaws.services.machinelearning.model.PredictRequest
PredictResult - Class in com.amazonaws.services.machinelearning.model
PredictResult() - Constructor for class com.amazonaws.services.machinelearning.model.PredictResult

R

RealtimeEndpointInfo - Class in com.amazonaws.services.machinelearning.model: Describes the real-time endpoint information for an MLModel.
RealtimeEndpointInfo() - Constructor for class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo
RealtimeEndpointStatus - Enum in com.amazonaws.services.machinelearning.model: Realtime Endpoint Status
ResourceNotFoundException - Exception in com.amazonaws.services.machinelearning.model: A specified resource cannot be located.
ResourceNotFoundException(String) - Constructor for exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException: Constructs a new ResourceNotFoundException with the specified error message.

S

setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InternalServerException: Sets the value of code
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.InvalidInputException: Sets the value of code
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.LimitExceededException: Sets the value of code
setCode(Integer) - Method in exception com.amazonaws.services.machinelearning.model.ResourceNotFoundException: Sets the value of code
setComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the MLModel, normalized and scaled on computation resources.
setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time that the MLModel was created.
setCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The time that the request to create the real-time endpoint for the MLModel was received.
setCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The AWS user account from which the MLModel was created.
setDetails(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.Prediction: Provides any additional details regarding the prediction.
setEndpoint(String) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Overrides the default endpoint for this client ("https://machinelearning.us-east-1.amazonaws.com").
setEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current endpoint of the MLModel
setEndpointStatus(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The current status of the real-time endpoint for the MLModel .
setEndpointStatus(RealtimeEndpointStatus) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The current status of the real-time endpoint for the MLModel .
setEndpointUrl(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The URI that specifies where to send real-time prediction requests for the MLModel.
setFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as COMPLETED or FAILED.
setInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
setLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the MLModel.
setLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A link to the file that contains logs of the CreateMLModel operation.
setMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A description of the most recent details about accessing the MLModel.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: The ID assigned to the MLModel at creation.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The MLModel ID, which is same as the MLModelId in the request.
setMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: A unique identifier of the MLModel.
setMLModelType(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Identifies the MLModel category.
setMLModelType(MLModelType) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Identifies the MLModel category.
setName(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A user-supplied name or description of the MLModel.
setPeakRequestsPerSecond(Integer) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.
setPredictedLabel(String) - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction label for either a BINARY or MULTICLASS MLModel.
setPredictedScores(Map<String, Float>) - Method in class com.amazonaws.services.machinelearning.model.Prediction: Provides the raw classification score corresponding to each label.
setPredictedValue(Float) - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction value for REGRESSION MLModel.
setPredictEndpoint(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: Sets the value of predictEndpoint
setPrediction(Prediction) - Method in class com.amazonaws.services.machinelearning.model.PredictResult: The output from a Predict operation:
setRecipe(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The recipe to use when training the MLModel.
setRecord(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: A map of variable name-value pairs that represent an observation.
setRegion(Region) - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: An alternative to AmazonMachineLearning.setEndpoint(String), sets the regional endpoint for this client's service calls.
setSchema(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The schema used by all of the data files referenced by the DataSource.
setScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The scoring threshold is used in binary classification MLModel models.
setScoreThresholdLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the ScoreThreshold.
setSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Long integer type that is a 64-bit signed number.
setStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS.
setStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current status of the MLModel.
setStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current status of the MLModel.
setTrainingDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The ID of the training DataSource.
setTrainingParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A list of the training parameters in the MLModel.
setVerbose(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: Specifies whether the GetMLModel operation should return Recipe.
shutdown() - Method in interface com.amazonaws.services.machinelearning.AmazonMachineLearning: Shuts down this client object, releasing any resources that might be held open.

T

toString() - Method in enum com.amazonaws.services.machinelearning.model.EntityStatus
toString() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in enum com.amazonaws.services.machinelearning.model.MLModelType
toString() - Method in class com.amazonaws.services.machinelearning.model.Prediction: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.PredictResult: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: Returns a string representation of this object; useful for testing and debugging.
toString() - Method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus

V

valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.EntityStatus: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.MLModelType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus: Returns the enum constant of this type with the specified name.
values() - Static method in enum com.amazonaws.services.machinelearning.model.EntityStatus: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.MLModelType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.amazonaws.services.machinelearning.model.RealtimeEndpointStatus: Returns an array containing the constants of this enum type, in the order they are declared.

W

withComputeTime(Long) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the MLModel, normalized and scaled on computation resources.
withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time that the MLModel was created.
withCreatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The time that the request to create the real-time endpoint for the MLModel was received.
withCreatedByIamUser(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The AWS user account from which the MLModel was created.
withDetails(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.Prediction: Provides any additional details regarding the prediction.
withEndpointInfo(RealtimeEndpointInfo) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current endpoint of the MLModel
withEndpointStatus(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The current status of the real-time endpoint for the MLModel .
withEndpointStatus(RealtimeEndpointStatus) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The current status of the real-time endpoint for the MLModel .
withEndpointUrl(String) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The URI that specifies where to send real-time prediction requests for the MLModel.
withFinishedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as COMPLETED or FAILED.
withInputDataLocationS3(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
withLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the MLModel.
withLogUri(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A link to the file that contains logs of the CreateMLModel operation.
withMessage(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A description of the most recent details about accessing the MLModel.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: The ID assigned to the MLModel at creation.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The MLModel ID, which is same as the MLModelId in the request.
withMLModelId(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: A unique identifier of the MLModel.
withMLModelType(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Identifies the MLModel category.
withMLModelType(MLModelType) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Identifies the MLModel category.
withName(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A user-supplied name or description of the MLModel.
withPeakRequestsPerSecond(Integer) - Method in class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo: The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.
withPredictedLabel(String) - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction label for either a BINARY or MULTICLASS MLModel.
withPredictedScores(Map<String, Float>) - Method in class com.amazonaws.services.machinelearning.model.Prediction: Provides the raw classification score corresponding to each label.
withPredictedValue(Float) - Method in class com.amazonaws.services.machinelearning.model.Prediction: The prediction value for REGRESSION MLModel.
withPredictEndpoint(String) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: Sets the value of the predictEndpoint property for this object.
withPrediction(Prediction) - Method in class com.amazonaws.services.machinelearning.model.PredictResult: The output from a Predict operation:
withRecipe(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The recipe to use when training the MLModel.
withRecord(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.PredictRequest: A map of variable name-value pairs that represent an observation.
withSchema(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The schema used by all of the data files referenced by the DataSource.
withScoreThreshold(Float) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The scoring threshold is used in binary classification MLModel models.
withScoreThresholdLastUpdatedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The time of the most recent edit to the ScoreThreshold.
withSizeInBytes(Long) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: Long integer type that is a 64-bit signed number.
withStartedAt(Date) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The epoch time when Amazon Machine Learning marked the MLModel as INPROGRESS.
withStatus(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current status of the MLModel.
withStatus(EntityStatus) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The current status of the MLModel.
withTrainingDataSourceId(String) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: The ID of the training DataSource.
withTrainingParameters(Map<String, String>) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelResult: A list of the training parameters in the MLModel.
withVerbose(Boolean) - Method in class com.amazonaws.services.machinelearning.model.GetMLModelRequest: Specifies whether the GetMLModel operation should return Recipe.

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