[ aws . machinelearning ]

predict

Description

Generates a prediction for the observation using the specified ML Model .

Note: Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  predict
--ml-model-id <value>
--record <value>
--predict-endpoint <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--ml-model-id (string)

A unique identifier of the MLModel .

--record (map)

A map of variable name-value pairs that represent an observation.

key -> (string)

The name of a variable. Currently it’s used to specify the name of the target value, label, weight, and tags.

value -> (string)

The value of a variable. Currently it’s used to specify values of the target value, weights, and tag variables and for filtering variable values.

Shorthand Syntax:

KeyName1=string,KeyName2=string

JSON Syntax:

{"string": "string"
  ...}

--predict-endpoint (string)

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.

Output

Prediction -> (structure)

The output from a Predict operation:

• Details - Contains the following attributes: DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS DetailsAttributes.ALGORITHM - SGD

• PredictedLabel - Present for either a BINARY or MULTICLASS MLModel request.

• PredictedScores - Contains the raw classification score corresponding to each label.

• PredictedValue - Present for a REGRESSION MLModel request.

predictedLabel -> (string)

The prediction label for either a BINARY or MULTICLASS MLModel .

predictedValue -> (float)

The prediction value for REGRESSION MLModel .

predictedScores -> (map)

Provides the raw classification score corresponding to each label.

key -> (string)

value -> (float)

details -> (map)

Provides any additional details regarding the prediction.

key -> (string)

Contains the key values of DetailsMap :

• PredictiveModelType - Indicates the type of the MLModel .

• Algorithm - Indicates the algorithm that was used for the MLModel .

value -> (string)