CUSTOMER Time Since Latest invoice Timestamp
SDK code to create CUSTOMER_Time_Since_Latest_invoice_Timestamp¶
Feature description:
Time (in days) Since Latest invoice Timestamp for the customer
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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")
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")
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 Latest invoice Timestamp for the customer
customer_latest_invoice_timestamp =\
groceryinvoice_view_by_customer.aggregate_over(
"Timestamp", method="latest",
feature_names=["CUSTOMER_Latest_invoice_Timestamp"],
windows=[None]
)["CUSTOMER_Latest_invoice_Timestamp"]
# Get Latest invoice Timestamp for the customer
customer_latest_invoice_timestamp =\
groceryinvoice_view_by_customer.aggregate_over(
"Timestamp", method="latest",
feature_names=["CUSTOMER_Latest_invoice_Timestamp"],
windows=[None]
)["CUSTOMER_Latest_invoice_Timestamp"]
Derive Time Since feature from latest timestamp¶
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# Compare CUSTOMER_Latest_invoice_Timestamp with point-in-time in days
customer_time_since_latest_invoice_timestamp = (
fb.RequestColumn.point_in_time() - customer_latest_invoice_timestamp
).dt.day
# Give a name to new feature
customer_time_since_latest_invoice_timestamp.name = \
"CUSTOMER_Time_Since_Latest_invoice_Timestamp"
# Compare CUSTOMER_Latest_invoice_Timestamp with point-in-time in days
customer_time_since_latest_invoice_timestamp = (
fb.RequestColumn.point_in_time() - customer_latest_invoice_timestamp
).dt.day
# Give a name to new feature
customer_time_since_latest_invoice_timestamp.name = \
"CUSTOMER_Time_Since_Latest_invoice_Timestamp"
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_time_since_latest_invoice_timestamp.primary_entity
#Check the primary entity of the feature'
customer_time_since_latest_invoice_timestamp.primary_entity
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#Get observation table: 'Preview Table with 10 Customers'
preview_table = catalog.get_observation_table(
"Preview Table with 10 Customers"
).to_pandas()
#Get observation table: 'Preview Table with 10 Customers'
preview_table = catalog.get_observation_table(
"Preview Table with 10 Customers"
).to_pandas()
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#Preview CUSTOMER_Time_Since_Latest_invoice_Timestamp
customer_time_since_latest_invoice_timestamp.preview(
preview_table
)
#Preview CUSTOMER_Time_Since_Latest_invoice_Timestamp
customer_time_since_latest_invoice_timestamp.preview(
preview_table
)
Save feature¶
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# Save feature
customer_time_since_latest_invoice_timestamp.save()
# Save feature
customer_time_since_latest_invoice_timestamp.save()
Add description and see feature definition file¶
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# Add description
customer_time_since_latest_invoice_timestamp.update_description(
"Time (in days) Since Latest invoice Timestamp for the customer"
)
# See feature definition file
customer_time_since_latest_invoice_timestamp.definition
# Add description
customer_time_since_latest_invoice_timestamp.update_description(
"Time (in days) Since Latest invoice Timestamp for the customer"
)
# See feature definition file
customer_time_since_latest_invoice_timestamp.definition