How to CloudDeploy a Manipulatable learned PredictorFunction?

Question

Consider the following combination of Manipulate and learned PredictorFunction:

trainingset = {1 -> 1.3, 2 -> 2.4, 3 -> 4.4, 4 -> 5.1, 6 -> 7.3};
predictorFunction = Predict[trainingset];
Manipulate[predictorFunction[x], {x, 1, 6}]

It works great in the notebook.

But when I CloudDeploy it sadly does not work :(

CloudDeploy[
 trainingset = {1 -> 1.3, 2 -> 2.4, 3 -> 4.4, 4 -> 5.1, 6 -> 7.3};
 predictorFunction = Predict[trainingset];
 Manipulate[predictorFunction[x], {x, 1, 6}]
  , Permissions -> "Public"
]

Question

How do I convert a learned PredictorFunction into an equivalent function that works when CloudDeploy-ed

Answer 1

Apparently InterpolationFunctions are Manipulate-able in a CloudDeploy.

Thus one work-around is to sample some data from the PredictorFunction and then use Interpolation to approximate the PredictorFunction with an InterpolationFunction.

CloudDeploy[
 trainingset = {1 -> 1.3, 2 -> 2.4, 3 -> 4.4, 4 -> 5.1, 6 -> 7.3};
 predictorFunction = Predict[trainingset];
 interpolationFunction = Interpolation@Table[{x, predictorFunction[x]}, {x, 1, 6}];
 
 Manipulate[interpolationFunction[x], {x, 1, 6}]

  , Permissions -> "Public"]

https://www.wolframcloud.com/obj/7513658e-ef9e-4c2d-a0d6-369ac2d043d7