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Transform
The process of taking an original value and input variables and derive a target feature ready for analytic processing
Log transformation is a data transformation method in which it replaces each variable x with a log(x) where x is a positive number and greater than zero
Attribute | Description | Type | Required |
|---|---|---|---|
source field | The column to perform the calculation upon | Double |
features:
compute:
log_spend:
function:
log transform:
source field: spend
Provide the day of week from the passed date object to a number between 1 and 7, where start of week is Monday(1).
- java.time.LocalDate
- java.sql.Date
- org.joda.time.DateTime
Attribute | Description | Type | Required |
|---|---|---|---|
source field | The column to perform the calculation upon | Double |
features:
compute:
day_of_week:
function:
day-of-week transform:
source field: date
Categorise a day into one of two categories where a weekday (Mon-Fri) is assigned as 1 and 2 for (Sat-Sun)
Attribute | Description | Type | Required |
|---|---|---|---|
source field | The column to perform the calculation upon | Double |
features:
compute:
day_bin:
function:
day binning:
source field: date
Categorise a passed age value, either an integer or date object, in to a pre-configured age bin.
Attribute | Description | Type | Required |
|---|---|---|---|
bins | Array of age bins to use. Default bins are set to 0-9, 10-19,...110-119. | Int[][] | |
as date | Passed event field is a supported date object. Supported Data classes
| Boolean Default: false | |
base date | Provide a date which is used to calculate the age. Default set to the date process is started | String Format: YYYY-MM-DD | |
source field | The column to perform the calculation upon | Double |
features:
compute:
age_bin:
function:
age binning:
bins: [ [0,18], [19,21], [22, 40], [41, 55], [56,76]]
base date: 2023-01-01
source field: current_age
Last modified 6mo ago