Shufflesplit () function in Python

Parameters:

N:int

The total number of elements in the data set.

N_iter:int (default 10)

Re-shuffle and split iteration count.

Test_size:float (default 0.1), int, or None

If it is a float type of data, this number should be between 0-1.0, representing the percentage of the test set. If it is an int type, represents the number of test sets. If none, the value is automatically set to the complement of the train set size

train_size:float, int, or none (default is None)

If the data for the float type should be between 0 and 1, and the percentage of the dataset in the train set split is the int type, represents the number of samples for the train set. If none, the value is automatically set to the complement of the test set size

Random_state:int or Randomstate

Pseudo-random number generator state for random sampling.

Example

rs = cross_validation. Shufflesplit (4, n_iter=3,           test_size=.25, random_state=0)

Shufflesplit () function in Python