Infoworks 6.1.3
Prepare Data
Documentation for Versions 2.x, 3.1.
Introduction
Creating a Pipeline
Designing a Pipeline
Building A Pipeline
CREATING A PIPELINE GROUP
BUILDING A PIPELINE GROUP
Pipeline Settings
PIPELINE GROUP SETTINGS
Functions Library
EXTERNAL LIBRARY

Performing Advanced Analytics

The following nodes are supported along with other transformations in Data Transformation:

The advanced analytics nodes are used for predictive modelling. Predictive modelling is the process by which a model is created to predict an outcome. If the outcome is categorical, it is called classification and if the outcome is numerical, it is called regression. Descriptive modelling or clustering is the assignment of observations into clusters so that observations in the same cluster are similar.

NOTE Predictions are generated only for test data sets.

H2O Support in Advanced Analytics Node

H2O is an open source, in-memory, distributed, fast, and scalable machine learning and predictive analytics platform that allows you to build machine learning models on big data.

Infoworks supports H2O as a machine learning engine for all the analytics nodes.

Following is the procedure to switch the machine learning engine from Spark ML to H2O.

  1. Navigate to the required pipeline.
  2. Click the Settings icon, scroll down to the Advanced Configurations section.
  3. Click Add Configuration.
  4. Enter the key as dt_use_h2o_ml_ engine and value as true.
  5. Click Save.

NOTE Normalization is not supported for H2O engine.

  Last updated on Oct 22, 2021
Next to read:
Performing Logistic Regression

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Performing Advanced AnalyticsH2O Support in Advanced Analytics Node