Use Predict p[x] with 2-3 methods or must use one by one?

Questions
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1

Hello,

My name is Decha.

How to use Predict p[x] with 2-3 methods?

From Wolfram document, sample as

    trainingData={1->8,2->3,3->8,4->7,5->4,6->3,7->3};

p =  Predict[trainingData, Method -> #] & /@ { "LinearRegression", "GaussianProcess"}

p[8]

How to use p[8] with LinearRegression", “GaussianProcess”}? Or must it use one by one?

By the way,

Table[p=Predict[trainingData,Method -> k], {k, {"LinearRegression", "GaussianProcess"}}]

Can it use?

Thank you for your answer.

Decha

2

Not sure what Predict supports, but if you can instead use its cousin Classify you can obtain probabilities from each method. They can then be summed (perhaps weighted) to give a combined prediction.

3

Hello, Lichtblau

Very thank you for your answer. I will study “Classify” follow your suggestion.

By the ways, could you help me to answer other question in topic "LearnDistribution, randomseeding in randomvariate with seedrandom method.

Very thank you
Decha

4

Decha, this is one way you could “use p[x]” with different Predict methods:

In[1]:= trainingData = {1 -> 8, 2 -> 3, 3 -> 8, 4 -> 7, 5 -> 4, 6 -> 3, 7 -> 3};

In[2]:= Table[p[k] = Predict[trainingData, Method -> k], {k,{"LinearRegression","GaussianProcess"}}];

In[3]:= p["LinearRegression"][8]
Out[3]= 2.43574

In[4]:= p["GaussianProcess"][8]
Out[4]= 5.14286

Of course there are other ways to do it

5

Hello, Milton

Very thank you for your suggestion.

Decha