Reputation: 557
This is my code:
random_idx = np.random.permutation(len(cIds))
train_Ids = cIds[random_idx[:train_size]]
Now, I want the list to be randomized in the same order every time I run this line of code.
Note: I do not want to save random_idx
variable in a text file, and fetch the same list.
Upvotes: 2
Views: 112
Reputation: 150785
Or you can do in in pandas style:
cIds.sample(n=train_size,
replace=False,
random_state=your_favorite_number_here)
Upvotes: 1
Reputation: 89685
You can use seed
in order to tell numpy to generate the same random numbers:
np.random.seed(seed=1234)
random_idx = np.random.permutation(len(cIds))
same as:
np.random.seed(1234)
random_idx = np.random.permutation(len(cIds))
Or
random_idx = np.random.RandomState(seed=1234).permutation(len(cIds)
seed: Must be convertible to 32 bit unsigned integers`
Upvotes: 6