I have to create a sequence of large number (> 10,000) of sequences of different lengths. I only know the lengths of these sequences in a vector form.
length_v <- c(2,3,4,4,2,6,11,75...................)
Each sequence starts from 1 and moves forward in steps of 1. And in the final sequence (combined one), each sequence has to appear one after the other, they can't be jumbled up.
A small demonstrating example is below:
I have say 4 sequences of length 2, 3, 4, 6 respectively.
s1 <- seq(1, 2) # 1,2
s2 <- seq(1, 3) # 1,2,3
s3 <- seq(1, 4) # 1,2,3,4
s4 <- seq(1, 6) # 1,2,3,4,5,6
Final sequence will be
final <- c(s1,s2,s3,s4) **# the order has to be this only. No compromise here.**
I can't do this with > 10,000 sequences which would be very inefficient. Is there any simpler way of doing this?
seq() function in R Language is used to create a sequence of elements in a Vector.
How to Create Lists in R? We can use the list() function to create a list. Another way to create a list is to use the c() function. The c() function coerces elements into the same type, so, if there is a list amongst the elements, then all elements are turned into components of a list.
Question 6: If you have a number of sequences of different lengths, how do you ensure that they are understood when fed into a neural network? Make sure that they are all the same length using the pad_sequences method of the tokenizer Use the pad_sequences object from the tensorflow.keras.preprocessing.sequence namespace
Here is the basic syntax of the CREATE SEQUENCE statement: Specify the name of the sequence after the CREATE SEQUENCE keywords. If you want to create a sequence in a specific schema, you can specify the schema name in along with the sequence name. Specify the interval between sequence numbers after the INCREMENT BY keyword.
Background A sequencein mathematics, is a collection (like a set) of mathematical objects where the order of the objects is significant, and duplicate members of the collection are allowed. In computer science, we represent sequences as arrays, lists, streams, and a variety of other data structures.
7 Ways to Create Sequences in Python — Camden Reslink code.camdenreslink All Dev Data Math Misc May 12, 2018 7 Ways to Create Sequences in Python For, Iters, Recursion, Maps, Etc. Background
We can use sequence
sequence(length_v)
#[1] 1 2 1 2 3 1 2 3 4 1 2 3 4 5 6
length_v <- c(2,3,4,6)
example:
unlist(sapply(c(2,3,4,6), seq, from=1))
so for you it will be:
unlist(sapply(length_v, seq, from=1))
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