>>>>>> import numpy as np 
>>> from sklearn import random_projection
 >>> rng = np.random.RandomState(0) 
>>> X = rng.rand(10, 2000) 
>>> X = np.array(X, dtype='float32') 
>>> X.dtype dtype('float32') 
>>> transformer = random_projection.GaussianRandomProjection() 
>>> X_new = transformer.fit_transform(X) 
>>> X_new.dtype dtype('float64')