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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

In Visual Studio 2022, the standard target framework set for .NET Core projects is version 6.0, while for .NET Framework projects, it defaults to version 4.7.2. You can find the selector for the .NET Framework version on the project configuration page within the new project creation dialog. However, C++/CLI isn't included by default when you install the C++ workload in Visual Studio. If you wish to add this component post-installation, you can do so by launching the Visual Studio Installer through the Windows Start menu and searching for it. Once in the installer, click the modify button next to your current Visual Studio version, head to the Individual components tab, and scroll to the compilers, build tools, and runtimes section to enable C++/CLI support for the v143 build tools (Latest). After making your selection, simply click modify to download the necessary components and update Visual Studio. By utilizing C++/CLI, you can develop C++ applications that leverage both .NET classes and native C++ types, making it a versatile tool for console applications. This integration allows for a seamless blend of managed and unmanaged code, enhancing the functionality of your projects.

Description

Cleanlab Studio offers a comprehensive solution for managing data quality and executing data-centric AI processes within a unified framework designed for both analytics and machine learning endeavors. Its automated pipeline simplifies the machine learning workflow by handling essential tasks such as data preprocessing, fine-tuning foundation models, optimizing hyperparameters, and selecting the best models for your needs. Utilizing machine learning models, it identifies data-related problems, allowing you to retrain on your refined dataset with a single click. You can view a complete heatmap that illustrates recommended corrections for every class in your dataset. All this valuable information is accessible for free as soon as you upload your data. Additionally, Cleanlab Studio comes equipped with a variety of demo datasets and projects, enabling you to explore these examples in your account right after logging in. Moreover, this user-friendly platform makes it easy for anyone to enhance their data management skills and improve their machine learning outcomes.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

.NET Yes 
Amazon Redshift No 
Amazon S3 No 
Databricks No 
Dropbox No 
Google Cloud Storage No 
Hugging Face No 
JupyterHub No 
Keras No 
PyTorch No 
Snowflake No 
TensorFlow No 
Vertica No 
Visual Studio Yes 
Weaviate No 
pandas No 

Integrations

.NET No 
Amazon Redshift Yes 
Amazon S3 Yes 
Databricks Yes 
Dropbox Yes 
Google Cloud Storage Yes 
Hugging Face Yes 
JupyterHub Yes 
Keras Yes 
PyTorch Yes 
Snowflake Yes 
TensorFlow Yes 
Vertica Yes 
Visual Studio No 
Weaviate Yes 
pandas Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Website

docs.microsoft.com/en-us/cpp/dotnet/dotnet-programming-with-cpp-cli-visual-cpp

Vendor Details

Company Name

Cleanlab

Country

United States

Website

cleanlab.ai/

Product Features

Product Features

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

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