How can I generate a uniformly distributed [-1,1]^d data in Python? E.g. d is a dimension like 10.
I know how to generate uniformly distributed data like np.random.randn(N) but dimension thing is confused me a lot.
Share
Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.
Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
How can I generate a uniformly distributed [-1,1]^d data in Python? E.g. d is a dimension like 10.
I know how to generate uniformly distributed data like np.random.randn(N) but dimension thing is confused me a lot.
Assuming independence of the individual coordinates, then the following will generate a random point in
[-1, 1)^dThe following will generate
nobservations, where each row is an observation