Snowpark ML release notes¶
This article contains the release notes for the Snowpark ML, including the following when applicable:
Behavior changes
New features
Customer-facing bug fixes
Version 1.0.6 (2023-09-01)¶
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.
Version 1.0.5 (2023-08-17)¶
This release contains internal changes only.
Version 1.0.4 (2023-07-28)¶
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.
Version 1.0.3 (2023-07-14)¶
This release contains internal changes only.
Version 1.0.2 (2023-06-22)¶
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.
Version 1.0.1 (2023-06-16)¶
Behavior changes¶
Model Development: Changed Metrics APIs to follow scikit-learn metrics modules:
accuracy_score
,confusion_matrix
,precision_recall_fscore_support
, andprecision_score
methods move tometrics.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
Version 1.0.0 (2023-06-09)¶
Initial public preview release.