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Virtualitics Explore Desktop is compatible with both Oculus Quest and the Oculus Quest 2. User Types Virtualitics Explore Desktop is compatible with both Oculus Quest and Oculus Quest 2 with two (2) user types: Leader and Viewer/Collaborator. Leader Connects Virtualitics Explore Desktop to an Oculus Quest Headset. A Leader must be tethered or us
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Congratulations on receiving access to the Virtualitics AI Platform! If you haven't yet set up your account in the Virtualitics Account Portal, click here. After you've created your account, follow the instructions below to download and install the Virtualitics desktop application. Download Virtualitics From the Downloads tab in the Account Portal,
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You can interact with objects, plots and panels in the VR environment using your VR controllers. Oculus Touch Controls Compatible devices: Oculus Quest 2 Oculus Quest Oculus Rift S Oculus Rift The touch controller that most recently had a button pressed is considered the active hand. The active hand will have a laser pointing out of it in the VR env
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Explore recognizes columns as Datetime column types when they have the following formats. If any cell in the column does not match one of these formats the software will not recognize the column as a Datetime column. If you typically use a different format not included here, please contact us at support@virtualitics.com with a sample of the format s
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On this page, you can find recommended and minimum Hardware Requirements for running Virtualitics AI Platform: Explore. Explore is compatible with Windows 10 and 11, MacOS Catalina and Big Sur, and Linux (Debian- and Red Hat-based distributions). Please contact us at support@virtualitics.com if you need more assistance. Laptop/Desktop Requirements
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What Is It? Smart Mapping is an AI-driven visualization routine that helps you instantly understand the key driving features in your data. Why Is This Important? Smart Mapping is especially useful in minimizing time to insight when working with a large number of features in your data. Using this routine, you can uncover hidden relationships within
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What Is It? Clustering is a machine learning technique used to group points by numerical similarity. The computed clusters are automatically mapped to the Color dimension and can be saved as a feature. Why Is This Important? Use Clustering to quickly reveal distinct groups within your data. Clustering is highly applicable in a variety of use cases
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Below are several example notebooks that demonstrate how you can use the Virtualitics API in your workflow. Exploring eCommerce Travel Data This example gives an introduction to using the Virtualitics API to make functional calls to Explore from your notebook. We focus on loading data, running our built-in AI routines, and leveraging Python to creat
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pyVIP is the Python package that houses the Virtualitics API and was developed for Python 3. Installation Prerequisites Make sure you have the latest version of Explore installed, which can be downloaded from the Account Portal. We recommend that you use pyVIP with the latest Anaconda distribution of Python 3 (pyVIP is compatible with Python 3.6
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What Is It? Anomaly Detection identifies points that are statistical outliers or have extreme values for combinations of features. Use Anomaly Detection to identify rare events, label them within the plot, and notify relevant stakeholders. Why Is This Important? Anomaly Detection is especially useful when extreme data points are not visually obviou
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