10: APPLY TableVectorizer

This step used:

• 11: CALLMETHOD 'groupby'

This step was used by:

• 9: CALLMETHOD 'assign'

Where was this step created?

                
  File "/home/circleci/project/doc/conf.py", line 571, in <module>
    create_expression_report()
  File "/home/circleci/project/doc/expression_report.py", line 39, in create_expression_report
    vectorized_products = products.skb.apply(vectorizer, cols=s.all() - "basket_ID")

                
            

Estimator fitted in this step:

OnSubFrame(cols=(all() - cols('basket_ID')),
           transformer=TableVectorizer(high_cardinality=MinHashEncoder(n_components=np.int64(9))))

OnSubFrame(cols=(all() - cols('basket_ID')),
           transformer=TableVectorizer(high_cardinality=MinHashEncoder(n_components=np.int64(9))))

TableVectorizer(high_cardinality=MinHashEncoder(n_components=np.int64(9)))

PassThrough()

DatetimeEncoder()

OneHotEncoder(drop='if_binary', dtype='float32', handle_unknown='ignore',
              sparse_output=False)

MinHashEncoder(n_components=np.int64(9))

Output of this step