semvec/pypi-packages huggingface dataset:
test-juliano-image-processing 0.0.1
Pacote de processamento de imagens
Requires Python: >=3.8

# package_name

Description. 
The package package_name is used to:
	Processing:
		- Histrogram matching
		-
	Utils
		-
		-

O pacote foi criado por Karina na plataforma DIO, dispobinilizado em:[TIEMI](https://github.com/tiemi/image-processing-package) estou replicando a informação para entender da melhor forma a utilização dos processos

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install image_processing

```bash
pip install image_processing2
```

## Usage

```python
from image_processing2.processing import combination, transformation
from image_processing2.utils import io, plot

file1_name.my_function()
```

## Author
antonio.juliano

## License
[MIT](https://choosealicense.com/licenses/mit/)
ruleboost 0.4.0
Efficient interpretable rule ensemble learning via gradient boosting implemented with numba.

# RuleBoost

Learn additive rule ensembles via gradient boosting.

## Usage Example for Classification

```python
>>> from ruleboost import RuleBoostingClassifier
>>> import numpy as np
>>> x = np.array([[0.1], [0.2], [0.3], [0.4], [0.5], [0.6], [0.7], [0.8], [0.9]])
>>> y = np.array([0, 0, 0, 1, 1, 1, 0, 0, 0])
>>> model = RuleBoostingClassifier(num_rules=1, fit_intercept=True).fit(x, y)
>>> print(model.rules_str()) # doctest: +NORMALIZE_WHITESPACE
    -0.475 if  
    +0.675 if x1 >= 0.400 & x1 <= 0.600
>>> model.predict(x)
array([0, 0, 0, 1, 1, 1, 0, 0, 0])
>>> np.round(model.predict_proba(x)[:, 1], 2)
array([0.38, 0.38, 0.38, 0.55, 0.55, 0.55, 0.38, 0.38, 0.38])
```