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Version: v0.61.1

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.1.0b1] - 2023-08-29​

Added​

  • Ability to request SHAP contributions for original and transformed features.

Fixed​

  • Use generators where possible for Pandas data frame scoring to improve memory usage.
  • Don't send unused columns for Pandas data frame scoring to minimize network request sizes.

[0.0.11b1] - 2023-08-24​

Changed​

  • Scoring a Pandas data frame does not use Spark.

[0.0.10b1] - 2023-07-17​

Changed​

  • Nullable integer data types in Pandas data frames are converted to float before scoring. Addresses potential errors when missing values are present, like TypeError: Invalid value '' for dtype Int64.

[0.0.9b1] - 2023-08-10​

Added​

  • Support for directly scoring Spark data frames.

Changed​

  • Snowflake scoring no longer checks for password or warehouse options.
  • Spark log level changed to "error" when scoring in local mode.

[0.0.8b1] - 2023-05-30​

Fixed​

  • SPARK_CONF_DIR check when not running in local mode.

[0.0.7b1] - 2023-05-22​

Added​

  • Support for Snowflake queries and tables.

Added​

[0.0.6b1] - 2023-05-05​

Added​

  • Support for passphrase protected endpoints.
  • __version__ attribute.
  • Check for existence of spark-defaults.conf if a Spark configuration directory is specified.
  • Unset SPARK_HOME if running in local mode.
  • Documentation site.

[0.0.5b1] - 2023-04-14​

Initial public release.

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