predict_peaks: Computes the predictions for the logistic regression
In TomMayo/kmermods: Represents Kmers As Integers Along The Genome

This calculates the predictions at each window, returning a probability of seeing a peak there

1	predict_peaks(kmers_win, params, peaks, win_size, chrom_loc, warp_ = NULL)

`kmers_win`	is a vector of integers of any length representing kmers in a region
`win_size`	is the length of the sliding window we are using
`chrom_loc`	is the position of the first kmer along the chromosome - this avoids indexing errors when splitting up the data
`paras`	is a vector of length equal to the total number of kmers
`warp`	is a vector of length as long as the kmer vector, with the multiplicative weights for how much to warp the entry