All Versions
13
Latest Version
Avg Release Cycle
81 days
Latest Release
64 days ago

Changelog History
Page 1

  • v2.0.0

    November 22, 2019

    Smile has been fully rewritten with more than 150,000 lines change.

    • Fully redesigned API. It is leaner, simpler and even more friendly.
    • Faster implementation and memory optimization. Many algorithms are fully reimplemented. RandomForest is 8X faster than XGBoost on large benchmark data (10MM samples).
    • 🆕 New parallelism mechanism
    • All new DataFrame and Formula
    • 🆕 New algorithms such as ICA, error reduction prune, quantile loss, TWCNB, etc.
    • 👌 Support arbitrary class labels.
    • ✨ Enhancement and harden numeric computations.
    • 👌 Support Parquet, SAS, Arrow, Avro, etc.
    • 🐛 Bug fixes.
  • v2.0.0-RC2

    November 13, 2019

    Smile has been fully rewritten with more than 100,000 lines change.

    • Fully redesigned API. It is leaner, simpler and even more friendly.
    • Faster implementation and memory optimization. Many algorithms are fully reimplemented. RandomForest is 8X faster than XGBoost on large benchmark data (10MM samples).
    • 🆕 New parallelism mechanism
    • All new DataFrame and Formula
    • 🆕 New algorithms such as ICA, error reduction prune, quantile loss, TWCNB, etc.
    • 👌 Support arbitrary class labels.
    • ✨ Enhancement and harden numeric computations.
    • 👌 Support Parquet, SAS, Arrow, Avro, etc.
    • 🐛 Bug fixes.
  • v2.0.0-RC1

    October 29, 2019
    • All new DataFrame and Formula
    • 👌 Support Parquet, SAS, Arrow, Avro, etc.
    • 🐎 Performance and memory optimization

    Smile has been fully rewritten with more than 100,000 lines change. Therefore, the API is not compatible with v1.

  • v1.5.3

    June 02, 2019
    • ElasticNet
    • GroupKFold
    • 🐛 Bug fixes
  • v1.5.2

    October 15, 2018
    • K-Modes clustering
    • Online learning with LogisticRegression by SGD
    • MCC (Matthews correlation coefficient) metric
    • 🐛 Bug fixes
  • v1.5.1

    February 26, 2018

    🐎 1. Performance improvement of hierarchical clustering 🛠 2. Bug fixes.

  • v1.5.0

    November 10, 2017
    1. DataFrame 🐧 2. New Shell for Mac and Linux 🏁 3. Shell improvement for Windows 🏁 4. Out of box support of native LAPACK for Windows
    2. Scala functions to export AttributeDataset, double[][], double[] to ARFF or CSV
    3. Scala functions for validation measures ♻️ 7. Refactor feature transformation and generation classes
    4. NeuralNetwork for regression
    5. Recursive least squares ♻️ 10. Refactor Scala NLP API 🛠 11. Bug fixes
  • v1.5.0-RC3

    November 06, 2017
  • v1.5.0-RC2

    October 29, 2017
  • v1.5.0-RC1

    September 28, 2017