Skip to main content
Creates a link between each row and the N rows most similar to it. Broadly, the similarity between two rows is a weighted similarity of the individual columns. The step accepts all data types, i.e. texts, quantitative, categorical columns etc.

​
Usage

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

Examples

​
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").
​
dataset
required
A dataset containing the columns to be included in the calculation of pair-wise similarities. Note: a subset of columns can always be selected in a recipe using the ds[[“column1”, “column2”, …]] syntax. Or to exclude: ds[![“column1”, “column2”, …]].
​
column
required
A column containing for each row a list of row numbers identfying all other rows it is similar to.
​
column
required
A column containing for each row a list of weights identfying the “importance” of each link to other rows identified in the targets column (identifying how similar the rows are).

​
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

​
integer
default:"10"
Number of similar docs.Values must be in the following range:
​
boolean
default:"false"
Whether to use minhash as a similarity measure.
​
integer
default:"15"
Number of terms to use.Values must be in the following range:
​
integer
default:"2"
Minimum term frequency. (For TFIDF).Values must be in the following range:
​
integer
default:"2"
Minimum doc frequency. (For TFIDF).Values must be in the following range:
​
number
default:"0.9"
Maximum doc percentage. (For TFIDF).Values must be in the following range:
​
integer
default:"2"
Minimum of terms that should match.Values must be in the following range:
​
string
default:"[\\W0-9]{1,100}"
Regex to recognize as string separator.
​
string
default:"ES,EN"
Languages to use for stopwords. supports ES, EN and both using commas “ES,EN”.Values must be one of the following:
  • ES
  • EN
  • ES,EN
  • EN,ES