Question

I am not sure whether this is the right place to ask this question. As this is more like a logic question.. but hey no harm in asking. Suppose I have a huge list of data (customers) and they all have a data_id Now I want to select lets say split the data in ratio lets say 10:90 split. Now rather than stating a condition that (example)

the sum of digits is even...go to bin 1
the sum of digits is odd.. go to bin 2
or sum of last three digits are x then go to bin 1
sum of last three digits is not x then go to bin 2

现在这可能导致数据收集不均,有时可能找到数据。

Is there a way (probabilistically speaking) which says.. sample size is always greater than x%

增编

Answer 1

您希望通过统一分发的特征来分门别类。哈希斯的职能是拥有这一财产......这样,如果你计算出客户身份的散列,然后按先分位分位分出2^n bins,每个双亲的物品数量大致相同。 (你然后可以选择90%的双目,以获得90%的数据。) 希望这一帮助。

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