# Deep Contextual MAB
MAB and linear/non-linear Contextual MAB algorithms.
## Algorithms
#### Multi-Arm Bandits
* [x] Epsilon Greedy
* [x] UCB
* [x] Thompson Sampling
#### Contextual Multi-Arm Bandits
* [x] Neural Net Epsilon Greedy
* [x] LinUCB
* [x] Neural Net UCB
## Usage Instructions
* This project is published on [PyPI](https://pypi.org/project/deep-mab/). To install package, run:
```
pip install deep-mab
```
* To run the algorithms, import the package and call the respective functions. For example, to run the LinUCB algorithm, run:
```
from deep_mab.cmab import LinUCB
model = LinUCB(n_arms=10, alpha=1, fit_intercept=True)
model.fit(X_train, y_train)
model.predict(X_test)
```
* For more details, refer to the [documentation](https://contextual-bandits.readthedocs.io/en/latest/).
* To run the examples, clone the repository and run the following commands:
```
cd deep-mab
pip install -r requirements.txt
python examples/linucb_example.py
```
* To run the tests, run the following commands:
```
cd deep-mab
pip install -r requirements.txt
pytest
```
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