Module: PredictionsController

Predictions controller

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Methods

(method) GetFeaturesTensor(features) → {DataView}

Get features as Tensor

Parameters:
Name Type Description
features NDList

features
Source:
Returns:
  • features Tensor
Type
DataView

(method HttpGet) GetModelsForDataSource() → {ActionResult}

Get routes for the current user

Source:
Returns:
  • List of routes
Type
ActionResult

(method) GetOnnxSessionAsync(modelFile) → {Task.<OnnxScoringEstimator>}

Get Onnx model session asynchronously

Parameters:
Name Type Description
modelFile string

model filepath
Source:
Returns:
  • session with loaded model
Type
Task.<OnnxScoringEstimator>

(method HttpPost) GetPredictedValues(modelId) → {ActionResult}

Get predicted values

Parameters:
Name Type Description
modelId int

Model id
Source:
Returns:
  • Predicted values
Type
ActionResult

(method) PredictAsync(session, featuresDataView) → {Task.<Array.<float>>}

Get predictions for a session with loaded model and features Tensor asynchronously

Parameters:
Name Type Description
session ITransformer

session with loaded model
featuresDataView DataView

features Tensor
Source:
Returns:
  • predictions
Type
Task.<Array.<float>>

Type Definitions

PredictingData

Predicting data

Type:
  • Object
Properties:
Name Type Description
features Array.<Array.<float>>

features 2D array, each feature is an array of floats
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