scale
Scales the values of a numerical column to lie between a specified minimum and maximum.
Without further specification, the minimum and maximum by default are 0.0 and 1.0 respectively.
Usage
The following examples show how the step can be used in a recipe.
Examples
Examples
The following example scales input values to be in the range [0, 1].
The following example scales input values to be in the range [0, 1].
Using a custom configuration to scale values to the interval [-2, 2], rather than the default of [0, 1]:
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
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").
Inputs
Inputs
A numeric input column.
Outputs
Outputs
A numeric column containing the scaled values.
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
Parameters
scale
Scales the values of a numerical column to lie between a specified minimum and maximum.
Without further specification, the minimum and maximum by default are 0.0 and 1.0 respectively.
Usage
The following examples show how the step can be used in a recipe.
Examples
Examples
The following example scales input values to be in the range [0, 1].
The following example scales input values to be in the range [0, 1].
Using a custom configuration to scale values to the interval [-2, 2], rather than the default of [0, 1]:
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
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").
Inputs
Inputs
A numeric input column.
Outputs
Outputs
A numeric column containing the scaled values.
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
Parameters