ITEM Quantity to CUSTOMER item Quantity ratio 14d
SDK code to create ITEM_Quantity_to_CUSTOMER_item_Quantity_ratio_14d¶
Feature description:
Ratio of item Quantity to the total sum of item Quantity among all items with the same customer as that item over the 14d period.
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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']
windows = ['14d']
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")
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# Create lookup feature from Quantity column for item entity.
item_quantity =\
invoiceitems_view["Quantity"].as_feature("ITEM_Quantity")
# Create lookup feature from Quantity column for item entity.
item_quantity =\
invoiceitems_view["Quantity"].as_feature("ITEM_Quantity")
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 entity (GroceryCustomerGuid).
invoiceitems_view_by_customer =\
invoiceitems_view.groupby(['GroceryCustomerGuid'])
# Group INVOICEITEMS view by customer entity (GroceryCustomerGuid).
invoiceitems_view_by_customer =\
invoiceitems_view.groupby(['GroceryCustomerGuid'])
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# Get Sum of Quantity for the customer over time.
feature_group =\
invoiceitems_view_by_customer.aggregate_over(
"Quantity", method="sum",
feature_names=[
"CUSTOMER_Sum_of_item_Quantity"
+ "_" + w for w in windows
],
windows=windows
)
# Get CUSTOMER_Sum_of_item_Quantity_14d object from feature group.
customer_sum_of_item_quantity_14d =\
feature_group["CUSTOMER_Sum_of_item_Quantity_14d"]
# Get Sum of Quantity for the customer over time.
feature_group =\
invoiceitems_view_by_customer.aggregate_over(
"Quantity", method="sum",
feature_names=[
"CUSTOMER_Sum_of_item_Quantity"
+ "_" + w for w in windows
],
windows=windows
)
# Get CUSTOMER_Sum_of_item_Quantity_14d object from feature group.
customer_sum_of_item_quantity_14d =\
feature_group["CUSTOMER_Sum_of_item_Quantity_14d"]
Compare lookup with aggregation¶
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# Get the Ratio of item Quantity to the total sum of item Quantity among all items with the same
# customer as that item over the 14d period.
item_quantity_to_customer_item_quantity_ratio_14d = (
item_quantity
/ customer_sum_of_item_quantity_14d
)
# Give a name to new feature
item_quantity_to_customer_item_quantity_ratio_14d.name = \
"ITEM_Quantity_to_CUSTOMER_item_Quantity_ratio_14d"
# Get the Ratio of item Quantity to the total sum of item Quantity among all items with the same
# customer as that item over the 14d period.
item_quantity_to_customer_item_quantity_ratio_14d = (
item_quantity
/ customer_sum_of_item_quantity_14d
)
# Give a name to new feature
item_quantity_to_customer_item_quantity_ratio_14d.name = \
"ITEM_Quantity_to_CUSTOMER_item_Quantity_ratio_14d"
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'
item_quantity_to_customer_item_quantity_ratio_14d.primary_entity
#Check the primary entity of the feature'
item_quantity_to_customer_item_quantity_ratio_14d.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 ITEM_Quantity_to_CUSTOMER_item_Quantity_ratio_14d
item_quantity_to_customer_item_quantity_ratio_14d.preview(
preview_table
)
#Preview ITEM_Quantity_to_CUSTOMER_item_Quantity_ratio_14d
item_quantity_to_customer_item_quantity_ratio_14d.preview(
preview_table
)
Save feature¶
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# Save feature
item_quantity_to_customer_item_quantity_ratio_14d.save()
# Save feature
item_quantity_to_customer_item_quantity_ratio_14d.save()
Add description and see feature definition file¶
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# Add description
item_quantity_to_customer_item_quantity_ratio_14d.update_description(
"Ratio of item Quantity to the total sum of item Quantity among all "
"items with the same customer as that item over the 14d period."
)
# See feature definition file
item_quantity_to_customer_item_quantity_ratio_14d.definition
# Add description
item_quantity_to_customer_item_quantity_ratio_14d.update_description(
"Ratio of item Quantity to the total sum of item Quantity among all "
"items with the same customer as that item over the 14d period."
)
# See feature definition file
item_quantity_to_customer_item_quantity_ratio_14d.definition