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sklearn 预测函数

[英]Sklearn predict function

原文 2017-03-28 22:00:28 9 1 python/ machine-learning/ scikit-learn/ scikits

I am using sklearn 's Linear Regression ML model in Python to predict.我在 Python 中使用sklearn的线性回归 ML 模型进行预测。 The predict function returns an array with a lot of floating point numbers, (which is correct) but I don't quite understand what the floating point numbers represent. predict函数返回一个包含大量浮点数的array （这是正确的），但我不太明白浮点数代表什么。 Is it possible to map them back?是否可以将它们映射回来？

For context, I am trying to predict sales of a product (label) from stocks available.就上下文而言，我试图从可用库存中预测产品（标签）的销售额。 The predict function returns a large array of floating point numbers. predict 函数返回一个大的浮点数数组。 How do I know what each floating point number represents?我怎么知道每个浮点数代表什么？

For instance, the array is like [11.5, 12.0, 6.1,..].例如，数组类似于 [11.5, 12.0, 6.1,..]。 It seems 6.1 is the sales qty but with what stock quantity is it associated with?似乎 6.1 是销售数量，但它与什么库存数量相关？

1 个解决方案

i'th output is prediction for i'th input.第 i 个输出是对第 i 个输入的预测。 Whatever you passed to .predict is a collection of objects, and the ordering of predictions is the same as the ordering of data passed in.无论你传递给 .predict 的是一个对象的集合，预测的顺序与传入的数据的顺序相同。