v1.2.0

🚀 What's New in Version 1.2.0

We're excited to announce a new release of PyLearn!
This release adds new functions and minor structural changes.

New Feature

• Train_test_split: added function to split your data into train and test data, shuffle it or set a seed.

Also

Updated the examples, now also using train_test_split.

Bug Fixes

Bugs and errors might occur, if so, we will release patch notes.

Documentation and Support

• Find the complete documentation here.
• For questions or issues, please open an issue on our GitHub.

We look forward to your feedback and hope you enjoy using Version 1.2.0!

v1.1.0

🚀 What's New in Version 1.1.0

(Release was in March, we fixed documentation version error)
We're excited to announce a new release of PyLearn!
This release adds new functions and minor structural changes.

New Features

• Feature 1: Classification: New classification algorithm Multinomial Naive Bayes (MNB).
• Feature 2: Clustering: New clustering algorithm Gaussian Mixture Model (GMM).
• Feature 3: New model evaluation with Mean Squared Error (MSE) and Sum of Squared Errors (SSE).

Also

Return type of K-Means and K-Medoids changed to NumPy Array.
A more detailed documentation.

Bug Fixes

Bugs and errors might occur, if so, we will release patch notes.

Documentation and Support

• Find the complete documentation here.
• For questions or issues, please open an issue on our GitHub.

We look forward to your feedback and hope you enjoy using Version 1.1.0!

v1.0.0

🚀 What's New in Version 1.0.0

We're excited to announce the first release of PyLearn!
This release marks a significant milestone as our first stable release.

Main Features

• Feature 1: Classification: Predicts your classes by different parameters.
• Feature 2: Clustering: Assign data points to clusters without knowing class criteria before.
• Feature 3: Neural networks: Create networks for many different prediction purposes.

Also

You can save and load your models to storage to avoid training again.
Evaluate training by using measurements like precision and F1 score.

Bug Fixes

Bugs and errors might occur, if so, we will release patch notes.

Documentation and Support

• Find the complete documentation here.
• For questions or issues, please open an issue on our GitHub.

We look forward to your feedback and hope you enjoy using Version 1.0.0!