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Pretty much any IEstimator needs to adhere to certain properties, which we should enforce in a test:
IEstimator
Estimator est:
est
est.Fit()
est.GetOutputSchema()
Fitted transformer xf = est.Fit(data):
xf = est.Fit(data)
xf
xf.GetOutputSchema()
xf.Transform()
CheckSameSchema
CheckSameValues
The text was updated successfully, but these errors were encountered:
Actually, we also want to port TestDataPipe tests to ML.NET.
TestDataPipe
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Image transforms become Estimators (#753)
5133797
Converted the following transforms to Estimators: - ImageLoader - ImageResizer - ImagePixelExtractor - ImageGrayscale Fixes #707
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Pretty much any
IEstimator
needs to adhere to certain properties, which we should enforce in a test:Estimator
est
:est.Fit()
throws on a data ifest.GetOutputSchema()
throws on its schema.est.Fit()
on the same data produces identical transformers.Fitted transformer
xf = est.Fit(data)
:xf
should be able to transform the data it was fitted on.xf.GetOutputSchema()
should matchest.GetOutputSchema()
.xf.Transform()
throws on a data ifxf.GetOutputSchema()
throws on its schema.xf
.xf.Transform()
to the same workouts as we do for transforms:CheckSameSchema
,CheckSameValues
.The text was updated successfully, but these errors were encountered: