How to partition a table or matrix of observation data so that samples from every group are included?

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temp89
temp89 2018-9-11
回答： Sachin Meena 2018-9-21
I have a table of categorized data with 41 categories. Every category has at least 5 samples. If I partition it into a 90:10 training:test split like so:
cvp = cvpartition(data.Category,'Holdout',0.1);
it'll split it into the quantities I want but one group will frequently not contain samples from all 41 categories. How do I split it so that all categories are represented in both the training and test datasets? It's in Table format at the moment but can switch to cell array if needed.

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回答（1 个）

Sachin Meena
Sachin Meena 2018-9-21
Try the
cvpartition(group,'HoldOut',p,'Stratify',stratifyOption)
option, refer to cvpartition documentation for examples. You may not need to use tall arrays.

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