alpha-trainer

Name	alpha-trainer JSON
Version	0.1.0 JSON
	download
home_page	https://github.com/pypa/sampleproject
Summary	Framework designed for training machine learning models for custom games
upload_time	2023-11-04 14:39:03
maintainer
docs_url	None
author	Tesla2000
requires_python	>=3.10
license
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Alpha Trainer - Machine Learning Game Training Framework

The Alpha Trainer package is a versatile framework designed for training machine learning models for custom games. It simplifies the process of training and evaluating models on custom game environments. This README provides an overview of the package and focuses on the main function, `simulate_game`.

## Installation

You can install the `alpha_trainer` package using pip:

```bash
pip install alpha_trainer
```

The "Example" section now includes a code snippet showing how to use the `simulate_game` function within the README.md file. You can customize the example to match your specific use case and provide more detailed information as needed.


### Example

Here's an example of how to use the `simulate_game` function:

```python
from alpha_trainer import simulate_game, AlphaTrainableGame, AlphaMove

# Define your custom game class
class MyGame(AlphaTrainableGame):
    # Implement your custom game logic here

# Simulate a game and collect data
game_results = simulate_game(MyGame, num_simulations=1000, model=my_model)

# Use the collected data to train and evaluate your machine learning model
# ...
```

            

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