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@blrchen blrchen released this 01 Nov 12:42
· 245 commits to main since this release
v0.9.0
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Learn about vigilant mode.

Breaking Changes

We have changed the execution engine for derived features to Spark SQL so this might introduce a little bit breaking changes for users who is not running the up-to-date sample notebooks. Specifically, they might face this failure:

Preprocessed DataFrames are: 
{'feature_user_age,feature_user_gift_card_balance,feature_user_has_valid_credit_card,feature_user_tax_rate': JavaObject id=o243}
Traceback (most recent call last):
  File "feathr_pyspark_driver.py", line 107, in <module>
    submit_spark_job(feature_names_funcs)
  File "feathr_pyspark_driver.py", line 85, in submit_spark_job
    py4j_feature_job.mainWithPreprocessedDataFrame(job_param_java_array, new_preprocessed_df_map)
  File "/home/trusted-service-user/cluster-env/env/lib/python3.8/site-packages/py4j/java_gateway.py", line 1304, in __call__
    return_value = get_return_value(
  File "/opt/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 117, in deco
pyspark.sql.utils.AnalysisException: Undefined function: 'toBoolean'. This function is neither a registered temporary function nor a permanent function registered in the database 'default'.; line 1 pos 84
)

Users should change:

feature_user_purchasing_power = DerivedFeature(name="feature_user_purchasing_power",
                                      key=user_id,
                                      feature_type=FLOAT,
                                      input_features=[
                                          feature_user_gift_card_balance, feature_user_has_valid_credit_card],
                                      transform="feature_user_gift_card_balance + if_else(toBoolean(feature_user_has_valid_credit_card), 100, 0)")

to

feature_user_purchasing_power = DerivedFeature(name="feature_user_purchasing_power",
                                      key=user_id,
                                      feature_type=FLOAT,
                                      input_features=[
                                          feature_user_gift_card_balance, feature_user_has_valid_credit_card],
                                      transform="feature_user_gift_card_balance + if(boolean(feature_user_has_valid_credit_card), 100, 0)")

What's Changed

New Contributors

Full Changelog: v0.8.0...v0.9.0

Contributors

windoze, xiaoyongzhu, and 13 other contributors
Assets 2
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