Is it useful to fully automate the data science cycle? Here are the slides from our webinar where we describe a semi-automated approach to the creation and training of machine learning models by alternating interaction points and automatic data processing. This softer approach to automated machine learning at KNIME is obtained via Guided Automation, a special instance of Guided Analytics. With Guided Automation, we do not aim to replace the driver by totally automating the process, instead we offer assistance and allow feedback to be gathered throughout the modeling process - whenever it's needed. A Guided Automation application is developed by data scientists for end-users. As easy as the final application might look, the system running in the background can be quite complex and therefore not easy to create completely from scratch. Here is a link to the webinar on YouTube: https://youtu.be/iMdNFY_hplw

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Guided Automation
A Blueprint for Interactive Automated
Machine Learning
Webinar will be live shortly!

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Guided Automation
A Blueprint for Interactive Automated
Machine Learning
Paolo Tamagnini, KNIME
Rosaria Silipo, KNIME

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The CRISP-DM Cycle

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In theory..
Data Scientist Business Analysts
tadaahh!
Great! Good Job!
Awesome!

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In practice..
Data Scientist Business Analysts
Can I optimize the model parameters?Can I upload my own file?
Can I use a neural network instead of a decision tree?
!?
Would it be possible to add some feature engineering?

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The CRISP-DM Cycle with Wrapped Metanodes

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Examples of Wrapped Metanode Views

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Quickforms and JavaScript Nodes

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How to Make a Wrapped Metanode

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• A Quickform or a JavaScript node inside a wrapped
metanode produces:
– an interactive View in KNIME Analytics Platform
– an interactive web page on the KNIME WebPortal of
the KNIME Server
• One or more Quickforms or JavaScript nodes produce a
Composite View
• Layout of the Composite Views are easily customizable
Quickforms and JavaScript Nodes

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Customizing the View Layout

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Data Access
Exposing some
parameters to the
business analyst using
QuickForms nodes!

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Data Visualization of Results
Using Interactivity
of JavaScript nodes in
a Composite View!

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A Solution to Automated Machine Learning
What is Guided Analytics?
Developing interactive systems
assisting the business analyst in
finding new insights and predict
future outcomes
Guided Automation is a
special instance of
Guided Analytics aimed at
intelligently automating
the ML cycle

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Two Key Questions
Can we automate the ML cycle in KNIME?
Is it useful to automate the ML cycle?

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A General Recipe for Guided Automation

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Our Blueprint

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User Interactions
Business analysts will
simply access the
KNIME WebPortal
from any web browser
Let’s do a LIVE demo !

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The Workflow

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The Workflow

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The Workflow

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The Workflow

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The Workflow
EXAMPLES/50_Applications/
36_Guided_Analytics_for_ML_Automation/
01_Guided_Analytics_for_ML_Automation

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Ideally...
Data Scientist Business Analysts
That’s it! Perfect!
Here we go!

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Come join us in Paris the 21st of February!

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KNIME Spring Summit 2019
March 18 – 22 at bcc Berlin Congress Center, Berlin
• Monday & Tuesday: One-day courses
• Wednesday & Thursday: Summit sessions
• Friday: Workshops
Register by February 4 for
20% off tickets!
Register at
knime.com/spring-summit2019

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Thank you for joining our Webinar!
Free Copy of Practicing Data Science Book
from KNIME Press:
https://www.knime.com/knimepress
with this code:
GUIDED-AUTOMATION-0119