TestUtils

Models.TestUtils

Provides test fakes, FakeTemplate and FakeModel, that are useful for testing downstream dependencies, and test_interface for testing the Models API has been correctly implemented.

test_interface(template::Template; inputs=rand(5, 5), outputs=rand(5, 5))

Test that subtypes of Template and Model implement the expected API. Can be used as an initial test to verify the API has been correctly implemented.

Returns the predictions of the Model.

FakeModel

A fake Model for testing purposes. See FakeTemplate for details.

FakeTemplate{E <: EstimateTrait, O <: OutputTrait} <: Template

This template is a test double for testing purposes. It should be defined (before fitting) with a predictor, which can be changed by mutating the field.

Fields

• predictor::Function: predicts the outputs of the FakeModel. It is (num_variates, inputs) -> outputs, where the num_variates will be memorized during fit.

Methods

• fit does not learn anything, it just creates an instance of the corresponding Model.
• predict applies the predictor to the inputs.

FakeTemplate{DistributionEstimate, MultiOutput}()

A Template whose Model will predict a multivariate normal posterior distribution (with zero-vector mean and identity covariance matrix) for each observation.

FakeTemplate{PointEstimate, MultiOutput}()

A Template whose Model will predict a vector of 0s for each observation. The input and output will have the same dimension.

FakeTemplate{DistributionEstimate, SingleOutput}()

A Template whose Model will predict a univariate normal posterior distribution (with zero mean and unit standard deviation) for each observation.

FakeTemplate{PointEstimate, SingleOutput}()

A Template whose Model will predict 0 for each observation.