All Versions
22
Latest Version
Avg Release Cycle
61 days
Latest Release
37 days ago

Changelog History
Page 1

  • v2.5.3

    September 19, 2020

    โœจ 1. enhance MLP ๐Ÿ›  2. bug fixes.

  • v2.5.2

    September 06, 2020
    1. AR and ARMA for time series modeling โšก๏ธ 2. Optimize interpolation package โšก๏ธ 3. Optimize matrix decomposition memory usage. ๐Ÿ›  4. Bug fixes.
  • v2.5.1

    August 17, 2020
    • Generalized ridge regression
    • โœจ Enhance JSON library
    • โšก๏ธ Do NOT transparently include OpenBLAS library to save space. If the users need optimized matrix computation, they should add the dependency based on their platform. See README for details.
  • v2.5.0

    July 23, 2020
    1. New matrix design
    2. New formula design
    3. Generalized linear models (GLM) ๐Ÿ“œ 4. Sparse logistic regression ๐Ÿ›  5. Bug fixes
  • v2.4.0

    May 01, 2020
    • All new declarative data visualization
    • TreeSHAP (contributed by Ray Ma @rayeaster)
    • UMAP (contributed by Ray Ma @rayeaster)
    • Levenberg-Marquardt algorithm
    • ๐Ÿ“ฆ The packages smile-cas and smile-vega are merged into scala-scala package
    • Spark integration in smile-spark
    • NLP in Kotlin
    • Grid search and random search for hyperparameter tuning
    • ๐Ÿ› Bug fixes
    • Smile Shell is based on Scala REPL (2.13.2) again
    • DataFrame and Tuple -> JSON
    • Kotlin and Clojure notebooks

    Kudos to Ray Ma @rayeaster for great contributions!

  • v2.3.0

    April 01, 2020
    • Kotlin API
    • Clojure API
    • ๐Ÿ‘ smile.plot.swing API is redesigned. Leaner, simpler, and better headless support
    • ๐Ÿ› Bug fixes
  • v2.2.2

    March 12, 2020

    Various minor improvements

  • v2.2.0

    February 29, 2020

    ๐Ÿ’ป The CAS module is a computer algebra system that has the ability to manipulate mathematical
    expressions in a way similar to the traditional manual computations of
    mathematicians and scientists.

    ๐Ÿ‘ The symbolic manipulations supported include:

    simplification to a smaller expression or some standard form,
    including automatic simplification with assumptions and
    simplification with constraints

    substitution of symbols or numeric values for certain expressions

    ๐Ÿ”„ change of form of expressions: expanding products and powers, partial
    and full factorization, rewriting as partial fractions, constraint
    satisfaction, rewriting trigonometric functions as exponentials,
    transforming logic expressions, etc.

    partial and total differentiation

    matrix operations including products, inverses, etc.

  • v2.1.0

    January 29, 2020
    1. Vega-lite based plot
    2. Jupyter notebook examples ๐Ÿ›  3. Bug fixes
  • 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).
    • ๐Ÿ†• New parallelism mechanism
    • All new DataFrame and Formula
    • ๐Ÿ†• New algorithms such as ICA, error reduction prune, quantile loss, TWCNB, etc.
    • ๐Ÿ‘Œ Support arbitrary class labels.
    • โœจ Enhancement and harden numeric computations.
    • ๐Ÿ‘Œ Support Parquet, SAS, Arrow, Avro, etc.
    • ๐Ÿ› Bug fixes.