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This is a recording of a Monarch Essentials training for customers in the Asia Pacific Region. Meeting Agenda * Introduction to our Complimentary Customer Success Program (5-7mins). * Overview of the Monarch Platform; all 5 products that are in the Monarch product family. * Overview of the Monarch Value Curve - The three…
Hi, I need some help to solve this problem. I am developing SVM and applying the optimize parameter (grid) operator with split validation in order to find the best combination of parameters (Fig. 1). So, I create threshold for these parameters: min & max value, c, kernel type (Fig. 2). Fig. 1 Fig. 2 However, these messages…
This video provides a quick demonstration on how to perform an inner join. Inner joins are useful for identifying matching data between two datasets. It can be used to confirm or validate expected matches between two datasets.
Altair Monarch Data Extraction Made Easy Please Download the Quick Reference Sheet attached that displays an example of how you can capture data in seconds and build a reusable trapping Models/Workspaces utilizing Altair Monarch. Altair makes data extraction from PDF, text, or legacy reports visual and straight-forward.…
Watch the below video to learn how to perform appends, also known as vertical joins or unions, across multiple data sources (text, PDF, CSV, excel, databases, etc.) using Monarch.
Ask The Expert Series on October 26, 2021 Monarch & Monarch Server(Automator) The Session began with a brief overview of Pivot/Unpivot and Duplicates in Monarch v.2021(DPS Mode) before diving into the LIVE Questions. First 40-minutes of the Session our Expert reviewed Pivot/Unpivot and Duplicates. 11:07-11:22am started…
Knowledge Studio’s novelty and outlier detector node makes it easy to identify anomalies in a dataset and remove them if desired. The software supports three different methods for detecting outliers: Isolation Forest, Local Outlier Factor, and One Class SVM. This video demonstrates how to use the novelty and outlier…
XGB stands for “eXtreme Gradient Boosting” and is often referred to as XGBoost. Knowledge Studio includes an XGB node for predictive modeling that data scientists can use to develop solutions for classification and regression problems. Knowledge Studio’s XGB implementation supports models with several types of dependent…
Hello everyone .. I worked on a project by rapidminer to analyze and respond to emails automatically .. Is it possible to make the project run automatically when a new message is received without having to press the start button
Knowledge Studio supports analysis of Shapley values, a solution concept from the world of cooperative game theory. Data scientists can use Shapley values to explain individual predictions of black box machine learning models, including random forest and boosting models. This video demonstrates how to use Knowledge…
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