This bandit draws a reward from a set normal distribution each time an arm is chosen. More...
Public Member Functions | |
| None | __init__ (self, int k) |
| Construct the class. | |
| select (self, index) | |
| Select one or several arms to obtain a reward from. | |
| trueValues (self) | |
| Return the distribution parameters for the arms. | |
 Public Member Functions inherited from bandit.base_bandit.BaseBandit | |
| int | k (self) |
| Return the number of arms this bandit has. | |
Protected Attributes | |
| _std | |
| _mean | |
| Protected Attributes inherited from bandit.base_bandit.BaseBandit | |
| _k | |
Detailed Description
This bandit draws a reward from a set normal distribution each time an arm is chosen.
Each arm has its own distribution that is fixed upon construction. Each distribution has a standard deviation of 1 and a mean randomly drawn from the uniform range [-1, 1).
Constructor & Destructor Documentation
◆ __init__()
| None bandit.normal.Normal.__init__ | ( | self, | |
| int | k | ||
| ) |
Construct the class.
This includes defining the normal distribution parameters for each arm. There is a different distribution for each arm. The means are sampled from the uniform range [-1, 1). The standard deviations are 1.0.
- Parameters
-
k The number of arms this bandit should have. This must be an int greater than 0.
Reimplemented from bandit.base_bandit.BaseBandit.
Reimplemented in bandit.random_walk.RandomWalk.
Member Function Documentation
◆ select()
| bandit.normal.Normal.select | ( | self, | |
| index | |||
| ) |
Select one or several arms to obtain a reward from.
- Parameters
-
index Any numpy valid indexing method to select which arms a reward should be drawn from. None can also be passed, but will only return a reward of None.
- Returns
- The rewards. The size of this will depend on the type of index. If a single integer is passed in, a single float will be returned. Otherwise, a numpy array will be returned. If None is passed in, this will also be None.
Reimplemented from bandit.base_bandit.BaseBandit.
Reimplemented in bandit.random_walk.RandomWalk.
◆ trueValues()
| bandit.normal.Normal.trueValues | ( | self | ) |
Return the distribution parameters for the arms.
- Returns
- A tuple containing the parameters for each arm's distribution. The first element of the tuple will be a numpy array holding the means for each arm. The second element will also be a numpy array with the standard deviations.
Reimplemented from bandit.base_bandit.BaseBandit.
Member Data Documentation
◆ _mean
◆ _std
The documentation for this class was generated from the following file:
- bandit/normal.py
