Class: Aws::MachineLearning::Types::Prediction
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::Prediction
- Defined in:
- gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb
Overview
The output from a Predict operation:
Details- Contains the following attributes:DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASSDetailsAttributes.ALGORITHM - SGDPredictedLabel- Present for either aBINARYorMULTICLASSMLModelrequest.PredictedScores- Contains the raw classification score corresponding to each label.PredictedValue- Present for aREGRESSIONMLModelrequest.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#details ⇒ Hash<String,String>
Provides any additional details regarding the prediction.
-
#predicted_label ⇒ String
The prediction label for either a
BINARYorMULTICLASSMLModel. -
#predicted_scores ⇒ Hash<String,Float>
Provides the raw classification score corresponding to each label.
-
#predicted_value ⇒ Float
The prediction value for
REGRESSIONMLModel.
Instance Attribute Details
#details ⇒ Hash<String,String>
Provides any additional details regarding the prediction.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 2720 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 2720 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 2720 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 2720 class Prediction < Struct.new( :predicted_label, :predicted_value, :predicted_scores, :details) SENSITIVE = [] include Aws::Structure end |