https://github.com/hrolfrc/score-regression

Classifier that maximizes score as a function of features.
https://github.com/hrolfrc/score-regression

classification-algorithm

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Classifier that maximizes score as a function of features.

• Host: GitHub
• URL: https://github.com/hrolfrc/score-regression
• Owner: hrolfrc
• License: bsd-3-clause
• Created: 2023-08-02T15:41:57.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2023-08-28T22:10:23.000Z (almost 3 years ago)
• Last Synced: 2024-04-17T19:16:31.746Z (about 2 years ago)
• Topics: classification-algorithm
• Language: Python
• Homepage: https://www.nature.com/articles/s41598-022-09415-2
• Size: 80.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Quick Start

```python

from score_regression import ScoreRegression

from sklearn.datasets import make_classification

from sklearn.model_selection import train_test_split

```

#### Make a classification problem

```python

seed = 42

X, y = make_classification(

    n_samples=30,

    n_features=5,

    n_informative=2,

    n_redundant=2,

    n_classes=2,

    random_state=seed

)

X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=seed)

```

#### Train the classifier

```python

cls = ScoreRegression().fit(X_train, y_train)

```

#### Get the score on unseen data

```python

cls.score(X_test, y_test)

```

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