PRODUCT Unique Count of customer Age band 14d

SDK code to create PRODUCT_Unique_Count_of_customer_Age_band_14d¶

Feature description:

Unique Count of customer_Age_band for the product over a 14d period.

In [ ]:

import featurebyte as fb
fb.use_profile("tutorial")

import featurebyte as fb fb.use_profile("tutorial")

Activate catalog¶

See SDK reference for catalogs

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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¶

See SDK reference for views

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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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# Get view from GROCERYCUSTOMER scd table.
grocerycustomer_view = catalog.get_view("GROCERYCUSTOMER")

# Get view from GROCERYCUSTOMER scd table. grocerycustomer_view = catalog.get_view("GROCERYCUSTOMER")

Join views¶

See SDK reference for views

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# Join GROCERYCUSTOMER view to INVOICEITEMS view.
invoiceitems_view = invoiceitems_view.join(grocerycustomer_view, rsuffix="")

# Join GROCERYCUSTOMER view to INVOICEITEMS view. invoiceitems_view = invoiceitems_view.join(grocerycustomer_view, rsuffix="")

Derive Timedelta from datetime column¶

See SDK reference for view columns

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# Derive Age from the event timestamp and the date of birth.
invoiceitems_view["customer_Age"] = (
    (
        invoiceitems_view["Timestamp"]
        - invoiceitems_view["DateOfBirth"]
    ).dt.day / 365.25
).floor()
# Transform age into a 5 year age band.
invoiceitems_view["customer_Age_band"] = (
    ((invoiceitems_view["customer_Age"] + 1) / 5).ceil() - 1
) * 5
invoiceitems_view["customer_Age_band"] = (
    invoiceitems_view["customer_Age_band"].astype(str)
     + "-" + (invoiceitems_view["customer_Age_band"] + 4).astype(str)
)

# Derive Age from the event timestamp and the date of birth. invoiceitems_view["customer_Age"] = ( ( invoiceitems_view["Timestamp"] - invoiceitems_view["DateOfBirth"] ).dt.day / 365.25 ).floor() # Transform age into a 5 year age band. invoiceitems_view["customer_Age_band"] = ( ((invoiceitems_view["customer_Age"] + 1) / 5).ceil() - 1 ) * 5 invoiceitems_view["customer_Age_band"] = ( invoiceitems_view["customer_Age_band"].astype(str) + "-" + (invoiceitems_view["customer_Age_band"] + 4).astype(str) )

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

See SDK reference for feature group

See list of aggregation operations

In [ ]:

# Group INVOICEITEMS view by product entity (GroceryProductGuid) across different
# customer_Age_bands.
invoiceitems_view_by_product_across_customer_age_band =\
invoiceitems_view.groupby(
    ['GroceryProductGuid'], category="customer_Age_band"
)

# Group INVOICEITEMS view by product entity (GroceryProductGuid) across different # customer_Age_bands. invoiceitems_view_by_product_across_customer_age_band =\ invoiceitems_view.groupby( ['GroceryProductGuid'], category="customer_Age_band" )

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# Count item across different customer_Age_bands for the product over time.
feature_group =\
invoiceitems_view_by_product_across_customer_age_band.aggregate_over(
    None, method=fb.AggFunc.COUNT,
    feature_names=[
        "PRODUCT_Count_of_item_across_customer_Age_bands"
        + "_" + w for w in windows
    ],
    windows=windows
)
# Get PRODUCT_Count_of_item_across_customer_Age_bands_14d object from feature group.
product_count_of_item_across_customer_age_bands_14d =\
feature_group["PRODUCT_Count_of_item_across_customer_Age_bands_14d"]

# Count item across different customer_Age_bands for the product over time. feature_group =\ invoiceitems_view_by_product_across_customer_age_band.aggregate_over( None, method=fb.AggFunc.COUNT, feature_names=[ "PRODUCT_Count_of_item_across_customer_Age_bands" + "_" + w for w in windows ], windows=windows ) # Get PRODUCT_Count_of_item_across_customer_Age_bands_14d object from feature group. product_count_of_item_across_customer_age_bands_14d =\ feature_group["PRODUCT_Count_of_item_across_customer_Age_bands_14d"]

Derive feature from aggregation across categories¶

See list of feature transforms

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# Get Unique Count of customer_Age_band from
# PRODUCT_Count_of_item_across_customer_Age_bands_14d
product_unique_count_of_customer_age_band_14d =\
product_count_of_item_across_customer_age_bands_14d.cd.unique_count()
# Give a name to new feature
product_unique_count_of_customer_age_band_14d.name = \
"PRODUCT_Unique_Count_of_customer_Age_band_14d"

# Get Unique Count of customer_Age_band from # PRODUCT_Count_of_item_across_customer_Age_bands_14d product_unique_count_of_customer_age_band_14d =\ product_count_of_item_across_customer_age_bands_14d.cd.unique_count() # Give a name to new feature product_unique_count_of_customer_age_band_14d.name = \ "PRODUCT_Unique_Count_of_customer_Age_band_14d"

Preview feature¶

Read on the feature primary entity concept

Read on the serving entity concept

See SDK reference for observation table

See SDK reference to preview feature

In [ ]:

#Check the primary entity of the feature'
product_unique_count_of_customer_age_band_14d.primary_entity

#Check the primary entity of the feature' product_unique_count_of_customer_age_band_14d.primary_entity

In [ ]:

#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_Unique_Count_of_customer_Age_band_14d
product_unique_count_of_customer_age_band_14d.preview(
	preview_table
)

#Preview PRODUCT_Unique_Count_of_customer_Age_band_14d product_unique_count_of_customer_age_band_14d.preview( preview_table )

Save feature¶

See SDK reference to save feature

In [ ]:

# Save feature
product_unique_count_of_customer_age_band_14d.save()

# Save feature product_unique_count_of_customer_age_band_14d.save()

Add description and see feature definition file¶

See SDK reference for the definition file of a feature

In [ ]:

# Add description
product_unique_count_of_customer_age_band_14d.update_description(
	"Unique Count of customer_Age_band for the product over a 14d period."
)
# See feature definition file
product_unique_count_of_customer_age_band_14d.definition

# Add description product_unique_count_of_customer_age_band_14d.update_description( "Unique Count of customer_Age_band for the product over a 14d period." ) # See feature definition file product_unique_count_of_customer_age_band_14d.definition