Snowpark ML release notes¶

New features and updates¶

• Model Development: Size of metrics result can exceed previous 8MB limit.

Bug fixes¶

• Model Development fixes:

  • Fixed a bug when using simple imputer with NumPy >= 1.25.

  • Fixed a bug when inferring the type of label columns.

New features and updates¶

• Model Development: Input dataframes can now be joined against data loaded from staged files.

• Model Development: Added support for non-English languages.

New features and updates¶

• Model Development: Added metrics:

  • d2_absolute_error_score

  • d2_pinball_score

  • explained_variance_score

  • mean_absolute_error

  • mean_absolute_percentage_error

  • mean_squared_error

Bug fixes¶

Model Development: accuracy_score now works when given label column names that are lists of single values.

Behavior changes¶

• Model Development: Changed Metrics APIs to follow scikit-learn metrics modules:

  • accuracy_score, confusion_matrix, precision_recall_fscore_support, and precision_score methods move to metrics.classification.

New features and updates¶

• Model Development: Added metrics:

  • f1_score

  • fbeta_score

  • recall_score

  • roc_auc_score

  • roc_curve

  • log_loss

  • precision_recall_curve