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IoT & Connectivity Tips

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How to identify what threshold is selected by Thingworx Analytics for Boolean Predictions?

When predicting a Boolean goal such as Failure in the next hour or any other goal that has a yes or no answer, Thingworx Analytics(TWXA) models will output a 'risk' of the event occurring. TWXA will intelligently pick a threshold beyond which that risk warrants attention. 1. In Analytics Builder, click on the export button 2. This will export a PMML model and download it for you 3. Open up the PMML model, in the output section, you will find a condition that explains the threshold that was selected by TWX Analytics.   In this example case, TWXA chose 0.5 as the best Threshold.   Note: The export button will only be available in Builder for TWXA 8.4+.
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rkhadilkar
5-Regular Member
Mar 22, 2019

TWX Analytics: How to Build and Operationalize a Time Series Model

This post covers how to build and operationalize a time series model using Thingworx Analytics. A lookback window is used to read multiple previous rows before the current one, and base the prediction on those lookback rows.   In this example we use time series data to predict water flow for different water pumps in a system.   There is a full explanation of the method attached, also all necessary resources are included in the attached files.
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tsaifee-2
14-Alexandrite
Jan 14, 2019

ThingWorx Analytics Training: Module 11 Part 1

This video is Module 11: ThingWorx Analytics Mashup Exercise of the ThingWorx Analytics Training videos. It shows you how to create a ThingWorx project and populate it with entities that collectively comprise a functioning application. 
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 10 Part 1

This video is Module 10: ThingWorx Foundation & Analytics Integration of the ThingWorx Analytics Training videos. It gives a brief review of core ThingWorx Platform functionality, and how the Analytics server works on top of the platform. It also describes the process of creating a simple application, complete with a mashup to display the information from a predictive model.
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 9 Part 3

This video concludes Module 9: Anomaly Detection of the ThingWorx Analytics Training videos. It gives an overview of the "Statistical Process Control (SPC) Accelerator"
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 9 Part 2

This video continues Module 9: Anomaly Detection of the ThingWorx Analytics Training videos. It begins with a ThingWatcher exercise, and concludes by describing Statistical Process Control (SPC). The "SPC Accelerator" will be covered in Module 9 Part 3.
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 9 Part 1

This video begins Module 9: Anomaly Detection of the ThingWorx Analytics Training videos. It describes how Thingwatcher can be set up to monitor values streaming from connected assets, and send an alert if its behavior deviates from its 'normal' behavior.
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 8 Part 3

This video concludes Module 8: Time Series Modeling of the ThingWorx Analytics Training videos. 
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 8 part 2

This video continues Module 8: Time Series Modeling of the ThingWorx Analytics Training videos. It continues to show how ThingWorx Analytics automatically transforms time series datasets into ones that are ready for machine learning. It also describes the concept of virtual sensors. It finishes by describing the time series dataset that will be used in the following modules.
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 8 Part 1

This video begins Module 8: Time Series Modeling of the ThingWorx Analytics Training videos. It describes the differences between time series and cross-sectional datasets. It begins to show how ThingWorx Analytics automatically transforms time series datasets into ones that are ready for machine learning. 
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 7 Part 2

This video concludes Module 7: Predictive & Prescriptive Scoring of the ThingWorx Analytics Training videos. It describes how ThingWorx Analytics automatically evaluates a range of values for chosen fields to produce prescriptive scores. 
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 7 Part 1

This video begins Module 7: Predictive & Prescriptive Scoring of the ThingWorx Analytics Training videos. It describes how a trained machine learning model takes inputs and makes predictions of different kinds, depending on the use case. It shows how scoring works in production, taking inputs from various sources and producing a score to help users make informed decisions. It also covers the concept of field importance in an individual score.
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 6 Part 5

This video concludes Module 6: Predictive Models & Model Validation of the ThingWorx Analytics Training videos. 
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 6 Part 4

This video continues Module 6: Predictive Models & Model Validation of the ThingWorx Analytics Training videos. It covers some modeling techniques to help build better predictive models. It discusses the dangers of models that overfit data, and how to avoid overfitting. 
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 6 Part 3

This video continues Module 6: Predictive Models & Model Validation of the ThingWorx Analytics Training videos. It then begins to describe some of the performance metrics used to evaluate predictive models. 
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 6 Part 2

This video continues Module 6: Predictive Models & Model Validation of the ThingWorx Analytics Training videos. It describes the remaining machine learning algorithms used by ThingWorx Analytics to build predictive models that weren't covered in Part 1. In addition, this video describes the different kinds of ensembles you can build that utilize multiple algorithms. 
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 6 Part 1

This video begins Module 6: Predictive Models & Model Validation of the ThingWorx Analytics Training videos. It gives examples of different types of goal variables. It also discusses data considerations in predictive modeling, It begins describing the machine learning algorithms used by ThingWorx Analytics to build predictive models. 
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 5 Part 2

This video concludes Module 5: Descriptive Analytics of the ThingWorx Analytics Training videos. It covers signals, profiles, and clusters, and how these forms of descriptive analytics provide crucial insight into your data.
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 5 Part 1

This video begins Module 5: Descriptive Analytics of the ThingWorx Analytics Training videos. It covers signals, profiles, and clusters, and how these forms of descriptive analytics provide crucial insight into your data.
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 4 Part 2

This video concludes Module 4: Data Transformation & Feature Engineering of the ThingWorx Analytics Training videos. It covers Descriptive Services and Derived Properties, and how they can be leveraged to create helpful alerts and make data transformation easier. 
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d_kessler
10-Marble
Dec 23, 2022

ThingWorx Analytics Training: Module 4 Part 1

This video begins Module 4: Data Transformation & Feature Engineering of the ThingWorx Analytics Training videos. It describes what data transformation is, and how feature engineering can improve machine learning models. You will learn about independent and dependent variables in your data, and how an "analytics ready view" looks for use with ThingWorx Analytics.
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d_kessler
10-Marble
Dec 23, 2022
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