December 2024 |
20.00.00.02 |
- PySpark to Vantage Migration updates:
- Two new examples added to support script directory and notebooks
- All examples moved to a examples_pyspark2teradataml_migration.zip file, available as an attachment to this guide
- Examples updates:
- Example added for cast, write orc File, write json File, writeTo create, writeTo createOrReplace, writeTo replace, writeTo append, writeTo partitionedBy, and RegexTokenizer
- Examples removed for contains, endswith, startswith, ilike, like, isNotNull, isNull functions
- Supportability matrix updates:
- SparkSQL:
- New UDF functions added
- Support updates
- MLLib (DataFrame-Based) API: RegexTokenizer marked as Supported
|
August 2024 |
20.00.00.01 |
- Examples updates:
- Examples for write saveAsTable and write insertInto were added
- Examples for agg were updated
- Supportability matrix updates:
- Input information added for DataFrameWriter and DataFrameWriterV2 classes
- Column APIs cast and alias updated with support information
- GroupedData.agg updated with support information
- DataFrame APIs fillna, DataFrameFunctions.fill, and agg updated with support information
- MLLib (DataFrame-Based) API: metricName attribute for MulticlassClassificationEvaluator updated with support metric information
- MLLib (DataFrame-Based) APIs: weightedFalsePositiveRate and weightedTruePositiveRate attributes marked as Supported for the following APIs:
- LinearSVCSummary
- LinearSVCTrainingSummary
- LogisticRegressionSummary
- LogisticRegressionTrainingSummary
- BinaryLogisticRegressionSummary
- BinaryLogisticRegressionTrainingSummary
- MultilayerPerceptronClassificationSummary
- MultilayerPerceptronClassificationTrainingSummary
- RandomForestClassificationSummary
- RandomForestClassificationTrainingSummary
- BinaryRandomForestClassificationSummary
- BinaryRandomForestClassificationTrainingSummary
|
March 2024 |
20.00.00.00 |
Initial release. |