I have relational data, i.e. observations for pairs of objects. More specifically these are migration rates between plant populations, which I would like to explain by a predictor. The migration rates ...

I have an embedding matrix in the size of (100000, 100). I want to compute all the pairwise cosine distances in the matrix. I've tried using sklearn.metrics.pairwise.cosine_distances function, but it ...

I have two pandas dataframes in which each row is a person and their response data in the form of a list: df_1 = pd.DataFrame({'ID': ['a', 'b', 'c', 'd', 'e', 'f'], 'response': [["apple", &...

I write a BiLSTM-Siamese Network to measure the string similarities using pairwise distance and cosine similarities with the detail as follows: class SiameseNetwork(nn.Module): def __init__(self, ...

How to make the script below more efficient? This is a follow-up to my previous post Python nested loop issue It currently takes the best part of two hours to process input tables consisting in about ...

I have a (N,3)-dimensional numpy array holding the 3-dim. positions of N particles in its rows. I want to obtain the pairwise distances of these particles using periodic boundaries (the latter means ...

In NumPy, the command numpy.corrcoef(X.T) is amazingly efficient at computing correlations between every possible pair of columns in a matrix X. I am looking for a similarly efficient method to ...

I have a dataset containing a set of variables and the coordinates describing their distributions in geographic space: set.seed(123) #example dataset: d <- data.frame(var=as.factor(rep(LETTERS[1:...

I was getting MemoryError when I imported 100,000 documents to pairwise_distances function. For this reason, I sparsely calculated the distance matrix piece by piece and combined it finally. But ...

I'm trying to implement a manifold alignment type of loss illustrated here. Given a tensor representing a batch of embeddings of shape (L,N) for example with L=256: tensor([[ 0.0178, 0.0004, -0.0217, ...

i'm working on big distance matrix (10-80k row ; 3k cols) and i want to get custom pairwise distance on that matrix ; and do it fast. I have trying with armadillo but with huge data it still "...

Is it possible to use the sklearn pairwise_distances function inside an addConstr(...) for computing the distance between 2 D-dimensional points in the constraint? I'd like to do something like this: ...

I have a dataframe with 4 columns. set.seed(123) df <- data.frame(A = round(rnorm(1000, mean = 1)), B = rpois(1000, lambda = 3), C = round(rnorm(1000, mean = -1)), ...

Issue I'm having some trouble calculating the Mahalanobis Distance between three classes of the independent variable Country. My aim is to calculate the Mahalanobis distance among dolphin whistle ...

I have a list of words, and I need to create a pairwise similarity matrix using the Fasttext word embedding. This is what I am currently doing: from gensim.models import fasttext as ft from sklearn....