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Linora is a simple and efficient data mining and data analysis tool that allows you to do related data mining tasks without using sklearn to the maximum extent. It is perfectly compatible with pandas and runs faster and saves memory compared to sklearn.
| API Document | 中文介绍 |
To install this verson from PyPI, type:
pip install linora -U
To get the newest one from this repo (note there may be frequent updates), type:
pip install git+https://github.com/Hourout/linora.git
- metrics
- metrics charts
- feature columns module
- feature selection module
- image augmentation
- text processing
- model param search
- sample
- parallel
- logger
- config
- progbar
- schedulers
import linora as la # plot ks curve label = [1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1] label_prob = [0.8, 0.4, 0.2, 0.5, 0.9, 0.2, 0.8, 0.6, 0.1, 0.3, 0.8, 0.3, 0.9, 0.2, 0.84, 0.2, 0.5, 0.23, 0.83, 0.71, 0.34, 0.3, 0.2, 0.7, 0.2, 0.8, 0.3, 0.59, 0.26, 0.16, 0.13, 0.8] la.chart.ks_curve(label, label_prob)
Please contact me if you have any related questions or improvements.
