CUSTOMER Avg of INVOICE Sum of item Discount 14d
SDK code to create CUSTOMER_Avg_of_INVOICE_Sum_of_item_Discount_14d¶
Feature description:
Avg of INVOICE_Sum_of_item_Discount for the customer over a 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 GROCERYINVOICE event table.
groceryinvoice_view = catalog.get_view("GROCERYINVOICE")
# Get view from GROCERYINVOICE event table.
groceryinvoice_view = catalog.get_view("GROCERYINVOICE")
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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 aggregation by invoice in INVOICEITEMS¶
See SDK reference for features
See SDK reference to groupby a view
See SDK reference to do aggregation by invoice
See list of aggregation operations
See SDK reference to add an aggregation by invoice to the event view
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# Group invoiceitems_view by invoice entity (GroceryInvoiceGuid).
invoiceitems_view_by_invoice =\
invoiceitems_view.groupby("GroceryInvoiceGuid")
# Group invoiceitems_view by invoice entity (GroceryInvoiceGuid).
invoiceitems_view_by_invoice =\
invoiceitems_view.groupby("GroceryInvoiceGuid")
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# Sum Discount for the invoice.
invoice_sum_of_item_discount =\
invoiceitems_view_by_invoice.aggregate(
"Discount", method=fb.AggFunc.SUM,
feature_name="INVOICE_Sum_of_item_Discount"
)
# Sum Discount for the invoice.
invoice_sum_of_item_discount =\
invoiceitems_view_by_invoice.aggregate(
"Discount", method=fb.AggFunc.SUM,
feature_name="INVOICE_Sum_of_item_Discount"
)
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# Add INVOICE_Sum_of_item_Discount feature to the GROCERYINVOICE view as a column.
groceryinvoice_view = groceryinvoice_view.add_feature(
"INVOICE_Sum_of_item_Discount",
invoice_sum_of_item_discount
)
# Add INVOICE_Sum_of_item_Discount feature to the GROCERYINVOICE view as a column.
groceryinvoice_view = groceryinvoice_view.add_feature(
"INVOICE_Sum_of_item_Discount",
invoice_sum_of_item_discount
)
Do window aggregation from GROCERYINVOICE¶
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 GROCERYINVOICE view by customer entity (GroceryCustomerGuid).
groceryinvoice_view_by_customer =\
groceryinvoice_view.groupby(['GroceryCustomerGuid'])
# Group GROCERYINVOICE view by customer entity (GroceryCustomerGuid).
groceryinvoice_view_by_customer =\
groceryinvoice_view.groupby(['GroceryCustomerGuid'])
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# Get Avg of INVOICE_Sum_of_item_Discount for the customer over time.
feature_group =\
groceryinvoice_view_by_customer.aggregate_over(
"INVOICE_Sum_of_item_Discount", method="avg",
feature_names=[
"CUSTOMER_Avg_of_INVOICE_Sum_of_item_Discount"
+ "_" + w for w in windows
],
windows=windows
)
# Get CUSTOMER_Avg_of_INVOICE_Sum_of_item_Discount_14d object from feature group.
customer_avg_of_invoice_sum_of_item_discount_14d =\
feature_group["CUSTOMER_Avg_of_INVOICE_Sum_of_item_Discount_14d"]
# Get Avg of INVOICE_Sum_of_item_Discount for the customer over time.
feature_group =\
groceryinvoice_view_by_customer.aggregate_over(
"INVOICE_Sum_of_item_Discount", method="avg",
feature_names=[
"CUSTOMER_Avg_of_INVOICE_Sum_of_item_Discount"
+ "_" + w for w in windows
],
windows=windows
)
# Get CUSTOMER_Avg_of_INVOICE_Sum_of_item_Discount_14d object from feature group.
customer_avg_of_invoice_sum_of_item_discount_14d =\
feature_group["CUSTOMER_Avg_of_INVOICE_Sum_of_item_Discount_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'
customer_avg_of_invoice_sum_of_item_discount_14d.primary_entity
#Check the primary entity of the feature'
customer_avg_of_invoice_sum_of_item_discount_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 CUSTOMER_Avg_of_INVOICE_Sum_of_item_Discount_14d
customer_avg_of_invoice_sum_of_item_discount_14d.preview(
preview_table
)
#Preview CUSTOMER_Avg_of_INVOICE_Sum_of_item_Discount_14d
customer_avg_of_invoice_sum_of_item_discount_14d.preview(
preview_table
)
Save feature¶
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# Save feature
customer_avg_of_invoice_sum_of_item_discount_14d.save()
# Save feature
customer_avg_of_invoice_sum_of_item_discount_14d.save()
Add description and see feature definition file¶
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# Add description
customer_avg_of_invoice_sum_of_item_discount_14d.update_description(
"Avg of INVOICE_Sum_of_item_Discount for the customer over a 14d "
"period."
)
# See feature definition file
customer_avg_of_invoice_sum_of_item_discount_14d.definition
# Add description
customer_avg_of_invoice_sum_of_item_discount_14d.update_description(
"Avg of INVOICE_Sum_of_item_Discount for the customer over a 14d "
"period."
)
# See feature definition file
customer_avg_of_invoice_sum_of_item_discount_14d.definition