All Versions
100
Latest Version
Avg Release Cycle
15 days
Latest Release
-

Changelog History
Page 8

  • v0.7.2 Changes

    • ➕ Add class for Pipeline that constructs chain of transformers and estimators.
    • 🛠 Fix some typos on document (#1).

  • v0.7.1 Changes

    • 🛠 Fix to use CSV class in parsing libsvm format file.
    • 🔨 Refactor ensemble estimators.

  • v0.7.0 Changes

    • ➕ Add class for AdaBoost classifier.
    • ➕ Add class for AdaBoost regressor.

  • v0.6.3 Changes

    • 🛠 Fix bug on setting random seed and max_features parameter of Random Forest estimators.

  • v0.6.2 Changes

    • 🐎 Refactor decision tree classes for improving performance.

  • v0.6.1 Changes

    • ➕ Add abstract class for linear estimator with stochastic gradient descent.
    • 🔨 Refactor linear estimators to use linear esitmator abstract class.
    • 🔨 Refactor decision tree classes to avoid unneeded type conversion.

  • v0.6.0 Changes

    • ➕ Add class for Principal Component Analysis.
    • ➕ Add class for Non-negative Matrix Factorization.

  • v0.5.2 Changes

    • ➕ Add class for DBSCAN clustering.

  • v0.5.1 Changes

    • 🛠 Fix bug on class probability calculation of DecisionTreeClassifier.

  • v0.5.0 Changes

    • ➕ Add class for K-Means clustering.
    • ➕ Add class for evaluating purity.
    • ➕ Add class for evaluating normalized mutual information.