# Sequence of numbers as single feature

Is it possible to use a sequence of numbers as one feature?

For example, using libsvm data format:

<label> <index1>:<value1> <index2>:<value2>

+1 1:123.02 2:1.23 3:5.45,2.22,6.76
+1 1:120.12 2:2.23 3:4.98,2.55,4.45
-1 1:199.99 2:2.13 3:4.98,2.22,6.98
...


Is there any special machine learning algorithm for this kind of data?

• The format and data sample shown is likely the LIBSVM format. The first is the label (+1 or -1), followed by dimension/value pairs. This format is convenient for sparse vector storage. From the example, there might be a problem with format (I see the commas at the end). You can use LIBSVM software package on this data. – Vladislavs Dovgalecs Aug 4 '15 at 23:26