semvec/pypi-packages huggingface dataset:
thindf 0.2.5
A Python implementation of thindf data format
License: MIT

Usage:

`thindf.to_thindf(object, indent = 4)`

Returns string in thindf corresponding to a given object.

`thindf.parse(str)`

Converts string in thindf into object.

---

Использование:

`thindf.to_thindf(object, indent = 4)`

Возвращает строку в формате thindf соответствующую переданному объекту.

`thindf.parse(str)`

Конвертирует строку в формате thindf в объект.
ModifiedNB 0.2
Laplace corrected modified naïve bayes model
License: MIT

# ModifiedNB Model

Scikit-learn based implementation of the popular cheminformatics Laplace corrected Naïve Bayes algorithm as described in:

    Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases
    Nidhi,†, Meir Glick,‡, John W. Davies,‡ and, and Jeremy L. Jenkins*,‡
    Journal of Chemical Information and Modeling 2006 46 (3), 1124-1133
    DOI: 10.1021/ci060003g

## Installation

    pip install ModifiedNB

## Usage

Works exactly like any other scikit-learn model.

```python
import numpy as np
X = np.random.randint(5, size=(6, 100))
y = np.array([1, 2, 3, 4, 5, 6])

from ModifiedNB import ModifiedNB
clf = ModifiedNB()
clf.fit(X, y)
print(clf.predict(X[2:3]))
```