Syncfusion UWP Predictive Analytics

SyncfusionData Analysis & OLAP ToolsWindows UWP Control

A UWP library for building and integrating predictive analytics models.

  • Evaluates PMML models from any statistical software for real-time predictions.
  • Integrates easily with .NET, supporting rich client, web, and Hadoop deployments.
  • Supports multiple model types including regression, clustering, and neural networks.
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Syncfusion Essential Studio UI Component SuiteLoading
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Syncfusion UWP Predictive Analytics is a data analytics library that enables Universal Windows Platform applications to build, train, and use predictive models. It provides APIs for data preparation, model creation, and evaluation, supporting applications that require forecasting, classification, and data driven decision making within Windows environments.

Data Preparation

Provides capabilities for loading, transforming, and preparing datasets for analysis. This includes handling structured data inputs and preparing them for use in predictive modeling workflows within UWP applications.

Predictive Modeling

Supports creating predictive models using common machine learning techniques. Applications can define models for scenarios such as classification, regression, or forecasting based on historical data.

Supported Predictive Models

Supports a range of commonly used predictive model types. These include linear regression and logistic regression models, decision tree based models such as decision trees and random forests, and probabilistic approaches like naive Bayes, enabling classification, regression, and forecasting scenarios.

Model Training

Enables training predictive models directly within the application environment. Training processes use prepared datasets to generate models that can be reused for prediction and analysis tasks.

Model Evaluation

Provides functionality to evaluate model performance using appropriate validation methods. This helps developers assess accuracy and reliability before applying models to live data.

Prediction Execution

Allows trained models to be used for generating predictions from new input data. This supports real time or batch prediction scenarios within UWP applications.

Algorithm Configuration

Exposes configuration options for adjusting algorithm behavior and model parameters. Developers can tune models to better align with specific data characteristics and application requirements.

Data Visualization Integration

Designed to work alongside data visualization controls. Predictive results can be displayed using charts, grids, or dashboards within the same UWP application interface.

API Based Workflows

Provides a programmatic API for managing the full predictive analytics lifecycle. This allows analytics logic to be embedded into application workflows and automated processes.

UWP Application Integration

Built for Universal Windows Platform applications and integrates with Windows based architectures. It supports analytics driven features while following UWP development patterns.

Product Compatibility

Review the details below to ensure this product is supported within your environment.

Component Type

  • Windows UWP Control

IDE Support

  • Visual Studio