ITEM Discount Z Score to PRODUCTGROUP item Discount 14d
SDK code to create ITEM_Discount_Z_Score_to_PRODUCTGROUP_item_Discount_14d¶
Feature description:
Z-Score of the item Discount in relation to the distribution of item Discount among all items with the same productgroup as that item 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 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="")
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# Create lookup feature from Discount column for item entity.
item_discount =\
invoiceitems_view["Discount"].as_feature("ITEM_Discount")
# Create lookup feature from Discount column for item entity.
item_discount =\
invoiceitems_view["Discount"].as_feature("ITEM_Discount")
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 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_14d object from feature group.
productgroup_avg_of_item_discount_14d =\
feature_group["PRODUCTGROUP_Avg_of_item_Discount_14d"]
# 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_14d object from feature group.
productgroup_avg_of_item_discount_14d =\
feature_group["PRODUCTGROUP_Avg_of_item_Discount_14d"]
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# Get Std of Discount for the productgroup over time.
feature_group =\
invoiceitems_view_by_productgroup.aggregate_over(
"Discount", method="std",
feature_names=[
"PRODUCTGROUP_Std_of_item_Discount"
+ "_" + w for w in windows
],
windows=windows
)
# Get PRODUCTGROUP_Std_of_item_Discount_14d object from feature group.
productgroup_std_of_item_discount_14d =\
feature_group["PRODUCTGROUP_Std_of_item_Discount_14d"]
# Get Std of Discount for the productgroup over time.
feature_group =\
invoiceitems_view_by_productgroup.aggregate_over(
"Discount", method="std",
feature_names=[
"PRODUCTGROUP_Std_of_item_Discount"
+ "_" + w for w in windows
],
windows=windows
)
# Get PRODUCTGROUP_Std_of_item_Discount_14d object from feature group.
productgroup_std_of_item_discount_14d =\
feature_group["PRODUCTGROUP_Std_of_item_Discount_14d"]
Compare lookup with aggregation¶
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# Get the Z-Score of the item Discount in relation to the distribution of item Discount among all
# items with the same productgroup as that item over a 14d period.
item_discount_z_score_to_productgroup_item_discount_14d = (
item_discount
- productgroup_avg_of_item_discount_14d
) / productgroup_std_of_item_discount_14d
# Give a name to new feature
item_discount_z_score_to_productgroup_item_discount_14d.name = \
"ITEM_Discount_Z_Score_to_PRODUCTGROUP_item_Discount_14d"
# Get the Z-Score of the item Discount in relation to the distribution of item Discount among all
# items with the same productgroup as that item over a 14d period.
item_discount_z_score_to_productgroup_item_discount_14d = (
item_discount
- productgroup_avg_of_item_discount_14d
) / productgroup_std_of_item_discount_14d
# Give a name to new feature
item_discount_z_score_to_productgroup_item_discount_14d.name = \
"ITEM_Discount_Z_Score_to_PRODUCTGROUP_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'
item_discount_z_score_to_productgroup_item_discount_14d.primary_entity
#Check the primary entity of the feature'
item_discount_z_score_to_productgroup_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 ITEM_Discount_Z_Score_to_PRODUCTGROUP_item_Discount_14d
item_discount_z_score_to_productgroup_item_discount_14d.preview(
preview_table
)
#Preview ITEM_Discount_Z_Score_to_PRODUCTGROUP_item_Discount_14d
item_discount_z_score_to_productgroup_item_discount_14d.preview(
preview_table
)
Save feature¶
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# Save feature
item_discount_z_score_to_productgroup_item_discount_14d.save()
# Save feature
item_discount_z_score_to_productgroup_item_discount_14d.save()
Add description and see feature definition file¶
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# Add description
item_discount_z_score_to_productgroup_item_discount_14d.update_description(
"Z-Score of the item Discount in relation to the distribution of item "
"Discount among all items with the same productgroup as that item over "
"a 14d period."
)
# See feature definition file
item_discount_z_score_to_productgroup_item_discount_14d.definition
# Add description
item_discount_z_score_to_productgroup_item_discount_14d.update_description(
"Z-Score of the item Discount in relation to the distribution of item "
"Discount among all items with the same productgroup as that item over "
"a 14d period."
)
# See feature definition file
item_discount_z_score_to_productgroup_item_discount_14d.definition