Serialized Form (AWS SDK for Android - Amazon Machine Learning 2.2.0 API)

Package com.amazonaws.services.machinelearning.model
- Class com.amazonaws.services.machinelearning.model.GetMLModelRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - mLModelId
```
String mLModelId
```
      The ID assigned to the MLModel at creation.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
    - verbose
```
Boolean verbose
```
      Specifies whether the GetMLModel operation should return Recipe
      If true, Recipe is returned.
      If false, Recipe is not returned.
- Class com.amazonaws.services.machinelearning.model.GetMLModelResult extends Object implements Serializable
  - Serialized Fields
    - mLModelId
```
String mLModelId
```
      The MLModel id which is same as the MLModelId in the request.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
    - trainingDataSourceId
```
String trainingDataSourceId
```
      Id of the training DataSource.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
    - createdByIamUser
```
String createdByIamUser
```
      The AWS user account from which the MLModel was created. The account type can be either an AWS root account or IAM user account.
      Constraints:
      Pattern: arn:aws:iam::[0-9]+:((user/.+)|(root))
    - createdAt
```
Date createdAt
```
      The time that the MLModel was created. The time is expressed in epoch time.
    - lastUpdatedAt
```
Date lastUpdatedAt
```
      The time of the most recent edit to the MLModel. The time is expressed in epoch time.
    - name
```
String name
```
      A user-supplied name or description of the MLModel for human recognizition and remembrance.
      Constraints:
      Length: 0 - 1024
    - status
```
String status
```
      The current status of the MLModel. This element can have one of the following values:
      
      PENDING - AmazonML submitted a request to describe a MLModel.
      
      INPROGRESS - The request is processing.
      
      FAILED - The request did not run to completion. It is not usable.
      
      COMPLETED - The request completed successufully.
      
      DELETED - The MLModel is marked as deleted. It is not usable.
      
      Constraints:
      Allowed Values: PENDING, INPROGRESS, FAILED, COMPLETED, DELETED
    - sizeInBytes
```
Long sizeInBytes
```
      Long integer type that is a 64-bit signed number.
    - endpointInfo
```
RealtimeEndpointInfo endpointInfo
```
      The current endpoint of the MLModel
    - trainingParameters
```
Map<K,V> trainingParameters
```
      A list of the training parameters in the MLModel. The list is implemented as a map of of key/value pairs.
      The current set of training parameters follows:
      
      sgd.l1RegularizationAmount - Coefficient regularization L1 norm. Controls overfitting the data by penalizing large coefficients. Tends to drive coefficients to zero, resulting in sparse feature set. If used, specify a small value, such as 1.0E-04 or 1.0E-08.
      Implemented as a double. Range is 0 to MAX_DOUBLE. Default is not to use L1 normalization. Cannot be used when L2 is specified. Use sparingly.
      
      sgd.l2RegularizationAmount - Coefficient regularization L2 norm. Controls overfitting the data by penalizing large coefficients. Tends to drive coefficients to small, nonzero values. If used, specify a small value, such as 1.0E-04 or 1.0E-08.
      Implemented as a double. Range is 0 to MAX_DOUBLE. Default is not to use L2 normalization. Cannot be used when L1 is specified. Use sparingly.
      
      sgd.maxPasses - Number of times that the training process traverses the observations to build the MLModel. The value is an integer that ranges from 1 through 10000 for SGD. The default value is 10.
      
      sgd.maxMLModelSizeInBytes - Maximum allowed size of the model.
      Depending on the input data, the model size might affect the performance.
      Implemented as an integer. Range is 100000 through 2147483648. Default value is 33554432.
    - inputDataLocationS3
```
String inputDataLocationS3
```
      A reference to a file or bucket on Amazon Simple Storage Service (Amazon S3).
      Constraints:
      Length: 0 - 2048
      Pattern: s3://([^/]+)(/.*)?
    - mLModelType
```
String mLModelType
```
      Identifies the MLModel category. The available types follow:
      
      REGRESSION -- Produces a numeric result. For example, "What listing price should a house have?"
      
      BINARY -- Produces one of two possible results. For example, "Is this an e-commerce web site?"
      
      MULTICLASS -- Produces more than two possible results. For example, "Is this a HIGH, LOW or MEDIUM risk trade?"
      
      Constraints:
      Allowed Values: REGRESSION, BINARY, MULTICLASS
    - scoreThreshold
```
Float scoreThreshold
```
      The scoring threshold is used in binary classification MLModels, and marks the boundary between a positive prediction and a negative prediction.
      Output values greater than or equal to the threshold receive a positive result from the MLModel, such as true. Output values less than the threshold receive a negative response from the MLModel, such as false.
    - scoreThresholdLastUpdatedAt
```
Date scoreThresholdLastUpdatedAt
```
      The time of the most recent edit to the ScoreThreshold. The time is expressed in epoch time.
    - logUri
```
String logUri
```
      Location of the logs from the CreateMLModel operation.
    - message
```
String message
```
      Description of the most recent details about accessing the MLModel.
      Constraints:
      Length: 0 - 10240
    - recipe
```
String recipe
```
      Recipe to use when training the MLModel. The Recipe provides detailed information about the observation data to use during training, as well as manipulations to perform on the observation data during training.
      Note This parameter is provided as part of the verbose format.
      Constraints:
      Length: 0 - 131071
    - schema
```
String schema
```
      The schema used by all of the data files referenced by the DataSource.
      Note This parameter is provided as part of the verbose format.
      Constraints:
      Length: 0 - 131071
- Class com.amazonaws.services.machinelearning.model.InternalServerException extends AmazonServiceException implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - code
```
Integer code
```
- Class com.amazonaws.services.machinelearning.model.InvalidInputException extends AmazonServiceException implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - code
```
Integer code
```
- Class com.amazonaws.services.machinelearning.model.LimitExceededException extends AmazonServiceException implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - code
```
Integer code
```
- Class com.amazonaws.services.machinelearning.model.Prediction extends Object implements Serializable
  - Serialized Fields
    - predictedLabel
```
String predictedLabel
```
    - predictedValue
```
Float predictedValue
```
    - predictedScores
```
Map<K,V> predictedScores
```
      Provides the raw classification score corresponding to each label.
    - details
```
Map<K,V> details
```
      Provides any additional details regarding the prediction
- Class com.amazonaws.services.machinelearning.model.PredictorNotMountedException extends AmazonServiceException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.amazonaws.services.machinelearning.model.PredictRequest extends AmazonWebServiceRequest implements Serializable
  - Serialized Fields
    - mLModelId
```
String mLModelId
```
      Unique identifier of the predictor.
      Constraints:
      Length: 1 - 64
      Pattern: [a-zA-Z0-9_.-]+
    - record
```
Map<K,V> record
```
      Map of variable name-value pairs representing an observation.
    - predictEndpoint
```
String predictEndpoint
```
- Class com.amazonaws.services.machinelearning.model.PredictResult extends Object implements Serializable
  - Serialized Fields
    - prediction
```
Prediction prediction
```
      Output from a predict operation.
- Class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo extends Object implements Serializable
  - Serialized Fields
    - peakRequestsPerSecond
```
Integer peakRequestsPerSecond
```
      Maximum processing rate for the realtime endpoint for MLModel, measured in incoming requests per second.
    - createdAt
```
Date createdAt
```
      The time that the request to create the realtime endpoint for the MLModel was received. The time is expressed in epoch time.
    - endpointUrl
```
String endpointUrl
```
      URI that specifies where to send realtime prediction requests for the MLModel.
      The application must wait until the realtime endpoint is ready before using this URI.
      Constraints:
      Length: 0 - 2048
      Pattern: https://[a-zA-Z0-9-.]*\.amazon(aws)?\.com[/]?
    - endpointStatus
```
String endpointStatus
```
      The current status of realtime endpoint for MLModel. This element can have one of the following values:
      
      NONE -- Endpoint does not exist or previously deleted
      
      READY -- Endpoint ready to be used for realtime predictions
      
      UPDATING -- updating/creating the endpoint for requested rate of incoming requests per second
      
      Constraints:
      Allowed Values: NONE, READY, UPDATING, FAILED
- Class com.amazonaws.services.machinelearning.model.ResourceNotFoundException extends AmazonServiceException implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - code
```
Integer code
```

Serialized Form

Package com.amazonaws.services.machinelearning.model

Class com.amazonaws.services.machinelearning.model.GetMLModelRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

mLModelId

verbose

Class com.amazonaws.services.machinelearning.model.GetMLModelResult extends Object implements Serializable

Serialized Fields

mLModelId

trainingDataSourceId

createdByIamUser

createdAt

lastUpdatedAt

name

status

sizeInBytes

endpointInfo

trainingParameters

inputDataLocationS3

mLModelType

scoreThreshold

scoreThresholdLastUpdatedAt

logUri

message

recipe

schema

Class com.amazonaws.services.machinelearning.model.InternalServerException extends AmazonServiceException implements Serializable

Serialized Fields

code

Class com.amazonaws.services.machinelearning.model.InvalidInputException extends AmazonServiceException implements Serializable

Serialized Fields

code

Class com.amazonaws.services.machinelearning.model.LimitExceededException extends AmazonServiceException implements Serializable

Serialized Fields

code

Class com.amazonaws.services.machinelearning.model.Prediction extends Object implements Serializable

Serialized Fields

predictedLabel

predictedValue

predictedScores

details

Class com.amazonaws.services.machinelearning.model.PredictorNotMountedException extends AmazonServiceException implements Serializable

Class com.amazonaws.services.machinelearning.model.PredictRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

mLModelId

record

predictEndpoint

Class com.amazonaws.services.machinelearning.model.PredictResult extends Object implements Serializable

Serialized Fields

prediction

Class com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo extends Object implements Serializable

Serialized Fields

peakRequestsPerSecond

createdAt

endpointUrl

endpointStatus

Class com.amazonaws.services.machinelearning.model.ResourceNotFoundException extends AmazonServiceException implements Serializable

Serialized Fields

code