PRODUCT vs PRODUCTGROUP Avg of item Discount 28d
SDK code to create PRODUCT_vs_PRODUCTGROUP_Avg_of_item_Discount_28d¶
Feature description:
Similarity between the product and all products of the product productgroup measured by the Ratio of the Avg of item Discount over 28d for both entities.
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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 = ['28d']
windows = ['28d']
Get view from table¶
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# Get view from GROCERYPRODUCT dimension table.
groceryproduct_view = catalog.get_view("GROCERYPRODUCT")
# Get view from GROCERYPRODUCT dimension table.
groceryproduct_view = catalog.get_view("GROCERYPRODUCT")
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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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# Join GROCERYPRODUCT view to INVOICEITEMS view.
invoiceitems_view = invoiceitems_view.join(groceryproduct_view, rsuffix="")
# Join GROCERYPRODUCT view to INVOICEITEMS view.
invoiceitems_view = invoiceitems_view.join(groceryproduct_view, rsuffix="")
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).
invoiceitems_view_by_product =\
invoiceitems_view.groupby(['GroceryProductGuid'])
# Group INVOICEITEMS view by product entity (GroceryProductGuid).
invoiceitems_view_by_product =\
invoiceitems_view.groupby(['GroceryProductGuid'])
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# Get Avg of Discount for the product over time.
feature_group =\
invoiceitems_view_by_product.aggregate_over(
"Discount", method="avg",
feature_names=[
"PRODUCT_Avg_of_item_Discount"
+ "_" + w for w in windows
],
windows=windows
)
# Get PRODUCT_Avg_of_item_Discount_28d object from feature group.
product_avg_of_item_discount_28d =\
feature_group["PRODUCT_Avg_of_item_Discount_28d"]
# Get Avg of Discount for the product over time.
feature_group =\
invoiceitems_view_by_product.aggregate_over(
"Discount", method="avg",
feature_names=[
"PRODUCT_Avg_of_item_Discount"
+ "_" + w for w in windows
],
windows=windows
)
# Get PRODUCT_Avg_of_item_Discount_28d object from feature group.
product_avg_of_item_discount_28d =\
feature_group["PRODUCT_Avg_of_item_Discount_28d"]
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# Group INVOICEITEMS view by productgroup entity (ProductGroup).
invoiceitems_view_by_productgroup =\
invoiceitems_view.groupby(['ProductGroup'])
# Group INVOICEITEMS view by productgroup entity (ProductGroup).
invoiceitems_view_by_productgroup =\
invoiceitems_view.groupby(['ProductGroup'])
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# Get Avg of Discount for the productgroup over time.
feature_group =\
invoiceitems_view_by_productgroup.aggregate_over(
"Discount", method="avg",
feature_names=[
"PRODUCTGROUP_Avg_of_item_Discount"
+ "_" + w for w in windows
],
windows=windows
)
# Get PRODUCTGROUP_Avg_of_item_Discount_28d object from feature group.
productgroup_avg_of_item_discount_28d =\
feature_group["PRODUCTGROUP_Avg_of_item_Discount_28d"]
# Get Avg of Discount for the productgroup over time.
feature_group =\
invoiceitems_view_by_productgroup.aggregate_over(
"Discount", method="avg",
feature_names=[
"PRODUCTGROUP_Avg_of_item_Discount"
+ "_" + w for w in windows
],
windows=windows
)
# Get PRODUCTGROUP_Avg_of_item_Discount_28d object from feature group.
productgroup_avg_of_item_discount_28d =\
feature_group["PRODUCTGROUP_Avg_of_item_Discount_28d"]
Derive Similarity feature across entities¶
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# Derive Similarity feature from Ratio of
# PRODUCT_Avg_of_item_Discount_28d
# to PRODUCTGROUP_Avg_of_item_Discount_28d
product_vs_productgroup_avg_of_item_discount_28d = (
product_avg_of_item_discount_28d
/ productgroup_avg_of_item_discount_28d
)
# Give a name to new feature
product_vs_productgroup_avg_of_item_discount_28d.name = \
"PRODUCT_vs_PRODUCTGROUP_Avg_of_item_Discount_28d"
# Derive Similarity feature from Ratio of
# PRODUCT_Avg_of_item_Discount_28d
# to PRODUCTGROUP_Avg_of_item_Discount_28d
product_vs_productgroup_avg_of_item_discount_28d = (
product_avg_of_item_discount_28d
/ productgroup_avg_of_item_discount_28d
)
# Give a name to new feature
product_vs_productgroup_avg_of_item_discount_28d.name = \
"PRODUCT_vs_PRODUCTGROUP_Avg_of_item_Discount_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'
product_vs_productgroup_avg_of_item_discount_28d.primary_entity
#Check the primary entity of the feature'
product_vs_productgroup_avg_of_item_discount_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 PRODUCT_vs_PRODUCTGROUP_Avg_of_item_Discount_28d
product_vs_productgroup_avg_of_item_discount_28d.preview(
preview_table
)
#Preview PRODUCT_vs_PRODUCTGROUP_Avg_of_item_Discount_28d
product_vs_productgroup_avg_of_item_discount_28d.preview(
preview_table
)
Save feature¶
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# Save feature
product_vs_productgroup_avg_of_item_discount_28d.save()
# Save feature
product_vs_productgroup_avg_of_item_discount_28d.save()
Add description and see feature definition file¶
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# Add description
product_vs_productgroup_avg_of_item_discount_28d.update_description(
"Similarity between the product and all products of the product "
"productgroup measured by the Ratio of the Avg of item Discount over "
"28d for both entities."
)
# See feature definition file
product_vs_productgroup_avg_of_item_discount_28d.definition
# Add description
product_vs_productgroup_avg_of_item_discount_28d.update_description(
"Similarity between the product and all products of the product "
"productgroup measured by the Ratio of the Avg of item Discount over "
"28d for both entities."
)
# See feature definition file
product_vs_productgroup_avg_of_item_discount_28d.definition