PRODUCT item TotalCost across invoice Weekdays 14d
SDK code to create PRODUCT_item_TotalCost_across_invoice_Weekdays_14d¶
Feature description:
Distribution representing the cumulative TotalCost of item, categorized by their respective invoice's Weekday, for the product over a 14d period. The result is presented as a dictionary where the Weekday of invoice serves as the key and its corresponding sum of TotalCost forms the value.
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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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# Extract day_of_week date part from Timestamp column for INVOICEITEMS view.
invoiceitems_view["Weekday of invoice"] = invoiceitems_view["Timestamp"].dt.day_of_week
# Extract day_of_week date part from Timestamp column for INVOICEITEMS view.
invoiceitems_view["Weekday of invoice"] = invoiceitems_view["Timestamp"].dt.day_of_week
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 product entity (GroceryProductGuid) across different Weekday of
# invoices.
invoiceitems_view_by_product_across_weekday_of_invoice =\
invoiceitems_view.groupby(
['GroceryProductGuid'], category="Weekday of invoice"
)
# Group INVOICEITEMS view by product entity (GroceryProductGuid) across different Weekday of
# invoices.
invoiceitems_view_by_product_across_weekday_of_invoice =\
invoiceitems_view.groupby(
['GroceryProductGuid'], category="Weekday of invoice"
)
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# Distribution representing the cumulative TotalCost of item, categorized by their respective
# invoice's Weekday, for the product over time.
feature_group =\
invoiceitems_view_by_product_across_weekday_of_invoice.aggregate_over(
"TotalCost", method=fb.AggFunc.SUM,
feature_names=[
"PRODUCT_item_TotalCost_across_invoice_Weekdays"
+ "_" + w for w in windows
],
windows=windows
)
# Get PRODUCT_item_TotalCost_across_invoice_Weekdays_14d object from feature group.
product_item_totalcost_across_invoice_weekdays_14d =\
feature_group["PRODUCT_item_TotalCost_across_invoice_Weekdays_14d"]
# Distribution representing the cumulative TotalCost of item, categorized by their respective
# invoice's Weekday, for the product over time.
feature_group =\
invoiceitems_view_by_product_across_weekday_of_invoice.aggregate_over(
"TotalCost", method=fb.AggFunc.SUM,
feature_names=[
"PRODUCT_item_TotalCost_across_invoice_Weekdays"
+ "_" + w for w in windows
],
windows=windows
)
# Get PRODUCT_item_TotalCost_across_invoice_Weekdays_14d object from feature group.
product_item_totalcost_across_invoice_weekdays_14d =\
feature_group["PRODUCT_item_TotalCost_across_invoice_Weekdays_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'
product_item_totalcost_across_invoice_weekdays_14d.primary_entity
#Check the primary entity of the feature'
product_item_totalcost_across_invoice_weekdays_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 PRODUCT_item_TotalCost_across_invoice_Weekdays_14d
product_item_totalcost_across_invoice_weekdays_14d.preview(
preview_table
)
#Preview PRODUCT_item_TotalCost_across_invoice_Weekdays_14d
product_item_totalcost_across_invoice_weekdays_14d.preview(
preview_table
)
Save feature¶
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# Save feature
product_item_totalcost_across_invoice_weekdays_14d.save()
# Save feature
product_item_totalcost_across_invoice_weekdays_14d.save()
Add description and see feature definition file¶
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# Add description
product_item_totalcost_across_invoice_weekdays_14d.update_description(
"Distribution representing the cumulative TotalCost of item, "
"categorized by their respective invoice's Weekday, for the product "
"over a 14d period. The result is presented as a dictionary where the "
"Weekday of invoice serves as the key and its corresponding sum of "
"TotalCost forms the value."
)
# See feature definition file
product_item_totalcost_across_invoice_weekdays_14d.definition
# Add description
product_item_totalcost_across_invoice_weekdays_14d.update_description(
"Distribution representing the cumulative TotalCost of item, "
"categorized by their respective invoice's Weekday, for the product "
"over a 14d period. The result is presented as a dictionary where the "
"Weekday of invoice serves as the key and its corresponding sum of "
"TotalCost forms the value."
)
# See feature definition file
product_item_totalcost_across_invoice_weekdays_14d.definition