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Piotr edited this page Mar 12, 2019
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mljar-supervised aims to provide a unified interface for different machine learning algorithms. The interface is designed to be simple and all parameters and data information are passed to the package in JSON format.
It is working on tabular datasets. It supports the following machine learning tasks:
- binary classification
- multiclass classification
- regression
Content:
For the near future there is on the roadmap:
- anomaly detection
- time series forecasting
- NLP tasks
- recommendation algorithms
- clustering algorithms