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Usage

The following example shows how the step can be used in a recipe.

Examples

  • Example 1
  • Signature
configure_discarded_categories(ds.cluster, { "thresholds": [{ "target": "EVERYTHING", "reference": "PERCENTAGE", "value": 20 }] })

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Inputs & Outputs

The following are the inputs expected by the step and the outputs it produces. These are generally columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced by name e.g. "churn-clf").
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column
column[category|list[category]|text]
required
The column to configure.

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Configuration

The following parameters can be used to configure the behaviour of the step by including them in a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output).

Parameters

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thresholds
[array, array, array, array]
required
A list of threshold configurations. A categorical column can have two kinds of thresholds determining whether specific categories will be hidden from its view in the UI: a minimum number of rows in the current selection below which a category will be hidden, or a minimum number of rows in the whole dataset (everything).The thresholds parameter should be a list containing 1 or 2 objects: the configuration of a selection threshold, and/or the configuration of a threshold for everything.
  • array
  • array
  • array
  • array
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{_}
array
array.
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Item 0
object
Configure categories to be discarded (hidden) in terms of their occurrence in the whole dataset. Categories with a number (or percentage) of rows in the whole dataset less than value will be discarded (hidden from the variable’s filter view).
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target
string
default:"EVERYTHING"
Whether to apply the threshold to the current selection of rows or all rows in the dataset.
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reference
string
Whether to interpret the threshold value as an absolute (count) or percentage of rows.Values must be one of the following:
  • ABSOLUTE
  • PERCENTAGE
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value
number
Categories less frequent than this value will be discarded (hidden).
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