CUSTOMER X PRODUCT Consistency of Sum of item Quantity 14d vs 28d
SDK code to create CUSTOMER_X_PRODUCT_Consistency_of_Sum_of_item_Quantity_14d_vs_28d¶
Feature description:
Consistency of the customer_x_product measured by the Ratio of the Sum of item Quantity for both the 14d and 28d periods
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import featurebyte as fb
fb.use_profile("tutorial")
import featurebyte as fb
fb.use_profile("tutorial")
Activate catalog¶
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catalog = fb.Catalog.activate("Grocery Dataset Tutorial")
catalog = fb.Catalog.activate("Grocery Dataset Tutorial")
Set windows for aggregation¶
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windows = ['14d', '28d']
windows = ['14d', '28d']
Get view from table¶
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# Get view from INVOICEITEMS item table.
invoiceitems_view = catalog.get_view("INVOICEITEMS")
# Get view from INVOICEITEMS item table.
invoiceitems_view = catalog.get_view("INVOICEITEMS")
Do window aggregation from INVOICEITEMS¶
See SDK reference for features
See SDK reference to groupby a view
See SDK reference to do aggregation over time
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# Group INVOICEITEMS view by customer_x_product entity (['GroceryCustomerGuid',
# 'GroceryProductGuid']).
invoiceitems_view_by_customer_x_product =\
invoiceitems_view.groupby(['GroceryCustomerGuid', 'GroceryProductGuid'])
# Group INVOICEITEMS view by customer_x_product entity (['GroceryCustomerGuid',
# 'GroceryProductGuid']).
invoiceitems_view_by_customer_x_product =\
invoiceitems_view.groupby(['GroceryCustomerGuid', 'GroceryProductGuid'])
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# Get Sum of Quantity for the customer_x_product over time.
feature_group =\
invoiceitems_view_by_customer_x_product.aggregate_over(
"Quantity", method="sum",
feature_names=[
"CUSTOMER_X_PRODUCT_Sum_of_item_Quantity"
+ "_" + w for w in windows
],
windows=windows
)
# Get CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_14d object from feature group.
customer_x_product_sum_of_item_quantity_14d =\
feature_group["CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_14d"]
# Get CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_28d object from feature group.
customer_x_product_sum_of_item_quantity_28d =\
feature_group["CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_28d"]
# Get Sum of Quantity for the customer_x_product over time.
feature_group =\
invoiceitems_view_by_customer_x_product.aggregate_over(
"Quantity", method="sum",
feature_names=[
"CUSTOMER_X_PRODUCT_Sum_of_item_Quantity"
+ "_" + w for w in windows
],
windows=windows
)
# Get CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_14d object from feature group.
customer_x_product_sum_of_item_quantity_14d =\
feature_group["CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_14d"]
# Get CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_28d object from feature group.
customer_x_product_sum_of_item_quantity_28d =\
feature_group["CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_28d"]
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# Derive Consistency feature from Ratio of
# CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_14d
# to CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_28d
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d = (
customer_x_product_sum_of_item_quantity_14d
/ customer_x_product_sum_of_item_quantity_28d
)
# Give a name to new feature
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.name = \
"CUSTOMER_X_PRODUCT_Consistency_of_Sum_of_item_Quantity_14d_vs_28d"
# Derive Consistency feature from Ratio of
# CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_14d
# to CUSTOMER_X_PRODUCT_Sum_of_item_Quantity_28d
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d = (
customer_x_product_sum_of_item_quantity_14d
/ customer_x_product_sum_of_item_quantity_28d
)
# Give a name to new feature
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.name = \
"CUSTOMER_X_PRODUCT_Consistency_of_Sum_of_item_Quantity_14d_vs_28d"
Preview feature¶
Read on the feature primary entity concept
Read on the serving entity concept
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#Check the primary entity of the feature'
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.primary_entity
#Check the primary entity of the feature'
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.primary_entity
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#Get observation table: 'Preview Table with 10 items'
preview_table = catalog.get_observation_table(
"Preview Table with 10 items"
)
#Get observation table: 'Preview Table with 10 items'
preview_table = catalog.get_observation_table(
"Preview Table with 10 items"
)
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#Preview CUSTOMER_X_PRODUCT_Consistency_of_Sum_of_item_Quantity_14d_vs_28d
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.preview(
preview_table
)
#Preview CUSTOMER_X_PRODUCT_Consistency_of_Sum_of_item_Quantity_14d_vs_28d
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.preview(
preview_table
)
Save feature¶
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# Save feature
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.save()
# Save feature
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.save()
Add description and see feature definition file¶
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# Add description
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.update_description(
"Consistency of the customer_x_product measured by the Ratio of the Sum"
" of item Quantity for both the 14d and 28d periods"
)
# See feature definition file
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.definition
# Add description
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.update_description(
"Consistency of the customer_x_product measured by the Ratio of the Sum"
" of item Quantity for both the 14d and 28d periods"
)
# See feature definition file
customer_x_product_consistency_of_sum_of_item_quantity_14d_vs_28d.definition