Processing missing value with SynthesizeMissingValues?

Questions
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1

I have an exercise below.

Use the SynthesizeMissingValues function to replace these missing values. Make sure you specify the FeatureExtractor so that it assigns the correct data type to the column having missing values.

I hvae tried to add FeatureExtractor to the function, SynthesizeMissingValues as the website.

45811.PNG
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But it always shows an error.

ld=LearnDistribution[{{2,1.4},{3,3.1},{5,5.4},{7,7.5}}]
SynthesizeMissingValues[{1,Missing[]},RefLink[FeatureExtractor,paclet:ref/FeatureExtractor]->"Minimal"]

2.PNG
2.PNG1343×357 27.7 KB

What can I do to add FeatureExtrator to SynthesizeMissingValues?

2

You have somehow copied the hyperlink meta-data when you added the FeatureExtractor option. It should look like this:

SynthesizeMissingValues[{1, Missing[]}, FeatureExtractor -> "Minimal"]

Although, I’m sceptical that that’s what you’re really wanting to do. One data point isn’t enough to meaningfully generate missing values. It’ll produce an output, but I don’t know what it’s worth. Are you trying to use the learned distribution to generate values? If so, then you need to add the distribution, something like this:

ld = LearnDistribution[{{2, 1.4}, {3, 3.1}, {5, 5.4}, {7, 7.5}}];
SynthesizeMissingValues[ld, {1, Missing[]}, 
 FeatureExtractor -> "Minimal"]
3

Thanks a lot.