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Alteryx Promote Knowledge Base

Definitive answers from Promote experts.

Code-Friendly Models: R and Python Examples

Alteryx Alumni (Retired)
Created on
PRODUCT: Alteryx Promote
VERSION: 2018.1
LAST UPDATE: 05/23/2018

ATTACHMENT: none 


Alteryx Promote allows model deployments in 3 forms:

 

  1. Designer via a Predictive Tool (i.e. Logistic Regression Tool --> Deploy Tool)
  2. R (either from the R code tool, or from an R program such as RStudio)
  3. Python3

 

For items 2 and 3, we host public repositories of example models (below) that show how to deploy predictive models.  All of these examples include READMEs that explain 1) what the model does, and 2) how to deploy it.

 

Example Python Models | Example R Models

 

For Python models, you must:

  1. Have Python3 installed
  2. Install the promote python CLI:
    pip install promote

     

For R models, you must:

  1. Have R installed
  2. Install the promote R CLI:
    install.packages("promote")