Usage
The following example shows how the step can be used in a recipe.Examples
Examples
- Example 1
- Signature
Get description from tf-idf cluster keywords
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
column[category]
required
TF-IDF keywords from the clusters to describe in natural language.
Outputs
Outputs
column[category]
required
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
string
default:"Same as tf-idf keywords"
Language.
Language you wish to use. Defaults to the TF-IDF keywords.
object
Model Configuration.
Configuration for OpenAI’s model.
Properties
Properties
string
default:"gpt-6-luna"
OpenAI model to choose.Values must be one of the following:
gpt-4.1gpt-6-lunagpt-6.1-sol
string
Reasoning effort.
Luna defaults to none; Sol defaults to medium. Explicit reasoning levels are preserved, except Sol uses low when none is requested.Values must be one of the following:
none low medium high xhigh maxnumber
default:"0.7"
Temperature. Higher means more creativity, but also makes the model more likely to hallucinate. Lower temperature yields more deterministic results. Ignored when reasoning is enabled.Values must be in the following range: