https://github.com/krzjoa/kaggle-metrics

Metrics for Kaggle competitions 📏
https://github.com/krzjoa/kaggle-metrics

classification kaggle kaggle-competition metrics regression

Last synced: 6 months ago
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Metrics for Kaggle competitions 📏

• Host: GitHub
• URL: https://github.com/krzjoa/kaggle-metrics
• Owner: krzjoa
• Created: 2017-05-02T22:02:20.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2019-07-19T21:27:24.000Z (about 6 years ago)
• Last Synced: 2025-03-26T12:51:10.849Z (7 months ago)
• Topics: classification, kaggle, kaggle-competition, metrics, regression
• Language: Python
• Homepage: https://kaggle-metrics.readthedocs.io
• Size: 91.8 KB
• Stars: 9
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# kaggle-metrics 

![Python 3.7](https://img.shields.io/badge/python-3.7-blue.svg) 

[![PyPI version](https://badge.fury.io/py/kaggle-metrics.svg)](https://badge.fury.io/py/kaggle-metrics ) 

[![Documentation Status](https://readthedocs.org/projects/kaggle-metrics/badge/?version=latest)](https://kaggle-metrics.readthedocs.io/en/latest/?badge=latest) 

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) 

Metrics for Kaggle competitions.

## Installation

```bash

python3.7 -m pip install git+https://github.com/krzjoa/kaggle-metrics.git

```

or:

```bash

python3.7 -m pip install kaggle_metrics

```

## Usage

```python

from xgboost import XGBRegressor

import kaggle_metrics as km

X_train, y_train, X_test, y_test = get_data()

# Train

clf = XGBRegressor()

clf.fit(X_train, y_train)

# Get predictions

y_pred = clf.predict(X_test)

# Evaluate with kaggle-metrics

km.rmse(y_test, y_pred)

```