semvec/pypi-packages huggingface dataset:
key-pressing 0.1.3.132321b0
Key pressing detecting for Python.

# print_function_py2

## Usage

This package is using for detect pressing in Python.

## How to use it

Import it by: `import key_pressing`. No any additional modules or packages will be installed. You need to install bash if you are using POSIX.

```python2
>>> import key_pressing
>>> key_pressing.detect_onekey()
O
'O'
>>> key_pressing.detect_escape()
^[[7m
'\x1b[7m'
>>> key_pressing.detect_keys(12)
Hello world!
'Hello world!'
```

If you cannot install the package by pip, please download the tar.gz file and extract to sys.path(PYTHONPATH).

## Known issues

* Cannot be used on Win32 platform.
* Cannot detect newline character correctly(got it as `\x00`).
APGD 0.1
Accelerated Proximal Gradient Descent (APGD) algorithm to solve the penalized regression models
Requires Python: >=3.6

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# APGD v.0.1.0

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Python version of the Accelerated Proximal Gradient Descent (APGD) algorithm is to solve the penalized regression models, including 

- **HuberNet**: Huber loss function along with Network-based penalty function;
- **HuberLasso**: Huber loss function along with Lasso penalty function;
- **HuberENET**: Huber loss function along with Elastic Net penalty function;
- **ENET**: Mean square error loss function along with Elastic Net penalty function;
- **Lasso**: Mean square error loss function along with Lasso penalty function;
- **Net**: Mean square error loss function along with Network-based penalty function.

## Functions

Please refer from [Github site](https://github.com/tobefuture/APGD).