Burcu İçen
Reputation: 155
How can i give Gaussian noise to my moons dataset with a deviation value of 0.2 in python?
I have make_moons dataset, generated by scikit-learn
X, y = make_moons(n_samples=120)
How can i give Gaussian noise to my moons dataset with a deviation value of 0.2 in python?
Upvotes: 0
Views: 205
Answers (1)
Matus Dubrava
Reputation: 14462
You can just pass that value to the make_moons function as noise.
x, y = make_moons(n_samples=120, noise=0.2)
noise : double or None (default=None) Standard deviation of Gaussian noise added to the data.
Upvotes: 1
Related Questions
- Add a gaussian noise to a Tensorflow Dataset
- Adding gaussian noise to a dataset of floating points and save it (python)
- How to add 5% Gaussian noise to the signal data
- What does it mean to add gaussian noise = 0.05 in scikit-learn make_circle()? How will it affect the data?
- adding gaussian noise to image
- how to add 50% random normal noise to Mnist dataset in python
- How to add Gaussian noise to an image?
- Adding realistic noise to a gaussian distribution while keeping the number of samples above/below a threshold approximately constant
- how to generate gaussian distributed noise based on a data set including cartisian coordinates in python
- Using numpy.random