Arms ¶

See here the documentation: docs/Arms

Arms : contains different types of bandit arms: Constant, UniformArm, Bernoulli, Binomial, Poisson, Gaussian, Exponential, Gamma.

Each arm class follows the same interface:

>>> my_arm = Arm(params)
>>> my_arm.mean
0.5
>>> my_arm.draw()  # one random draw
0.0
>>> my_arm.draw_nparray(20)  # or ((3, 10)), many draw
array([ 0.,  1.,  0.,  0.,  0.,  0.,  0.,  1.,  1.,  0.,  1.,  0.,  0.,
        1.,  0.,  0.,  0.,  1.,  1.,  1.])

Also the __init__.py file contains:

uniformMeans, to generate uniformly spaced means of arms.
uniformMeansWithSparsity, to generate uniformly spaced means of arms, with sparsity constraints.
randomMeans, to generate randomly spaced means of arms.
randomMeansWithGapBetweenMbestMworst, to generate randomly spaced means of arms, with a constraint on the gap between the M-best arms and the (K-M)-worst arms.
randomMeans, to generate randomly spaced means of arms.
shuffled, to return a shuffled version of a list.
Utility functions array_from_str list_from_str and tuple_from_str to obtain a numpy.ndarray, a list or a tuple from a string (used for the CLI env variables interface).
optimal_selection_probabilities.

Arms¶

Arms ¶