Class: Aws::MachineLearning::Types::Prediction

Inherits:

Struct

• Object
• Struct
• Aws::MachineLearning::Types::Prediction

Includes:

Structure

Defined in:

lib/aws-sdk-machinelearning/types.rb

Overview

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.

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #details ⇒ Hash<String,String>

  Provides any additional details regarding the prediction.

• #predicted_label ⇒ String

  The prediction label for either a BINARY or MULTICLASS MLModel.

• #predicted_scores ⇒ Hash<String,Float>

  Provides the raw classification score corresponding to each label.

• #predicted_value ⇒ Float

  The prediction value for REGRESSION MLModel.

Instance Attribute Details

#details ⇒ Hash<String,String>

Provides any additional details regarding the prediction.

Returns:

• (Hash<String,String>)

# File 'lib/aws-sdk-machinelearning/types.rb', line 2722

class Prediction < Struct.new(
  :predicted_label,
  :predicted_value,
  :predicted_scores,
  :details)
  SENSITIVE = []
  include Aws::Structure
end

#predicted_label ⇒ String

The prediction label for either a BINARY or MULTICLASS MLModel.

Returns:

• (String)

# File 'lib/aws-sdk-machinelearning/types.rb', line 2722

class Prediction < Struct.new(
  :predicted_label,
  :predicted_value,
  :predicted_scores,
  :details)
  SENSITIVE = []
  include Aws::Structure
end

#predicted_scores ⇒ Hash<String,Float>

Provides the raw classification score corresponding to each label.

Returns:

• (Hash<String,Float>)

# File 'lib/aws-sdk-machinelearning/types.rb', line 2722

class Prediction < Struct.new(
  :predicted_label,
  :predicted_value,
  :predicted_scores,
  :details)
  SENSITIVE = []
  include Aws::Structure
end

#predicted_value ⇒ Float

The prediction value for REGRESSION MLModel.

Returns:

• (Float)

# File 'lib/aws-sdk-machinelearning/types.rb', line 2722

class Prediction < Struct.new(
  :predicted_label,
  :predicted_value,
  :predicted_scores,
  :details)
  SENSITIVE = []
  include Aws::Structure
end