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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Discover a revolutionary approach to training machine learning models directly on your Mac with Create ML, which simplifies the process while delivering robust Core ML models. You can train several models with various datasets all within one cohesive project. Utilize Continuity to preview your model's performance by connecting your iPhone's camera and microphone to your Mac, or simply input sample data for evaluation. The training process allows you to pause, save, resume, and even extend as needed. Gain insights into how your model performs against test data from your evaluation set and delve into essential metrics, exploring their relationships to specific examples, which can highlight difficult use cases, guide further data collection efforts, and uncover opportunities to enhance model quality. Additionally, if you want to elevate your training performance, you can integrate an external graphics processing unit with your Mac. Experience the lightning-fast training capabilities available on your Mac that leverage both CPU and GPU resources, and take your pick from a diverse selection of model types offered by Create ML. This tool not only streamlines the training process but also empowers users to maximize the effectiveness of their machine learning endeavors.

Description

An open-source platform for monitoring machine learning models offers robust observability features. It allows users to evaluate, test, and oversee models throughout their journey from validation to deployment. Catering to a range of data types, from tabular formats to natural language processing and large language models, it is designed with both data scientists and ML engineers in mind. This tool provides everything necessary for the reliable operation of ML systems in a production environment. You can begin with straightforward ad hoc checks and progressively expand to a comprehensive monitoring solution. All functionalities are integrated into a single platform, featuring a uniform API and consistent metrics. The design prioritizes usability, aesthetics, and the ability to share insights easily. Users gain an in-depth perspective on data quality and model performance, facilitating exploration and troubleshooting. Setting up takes just a minute, allowing for immediate testing prior to deployment, validation in live environments, and checks during each model update. The platform also eliminates the hassle of manual configuration by automatically generating test scenarios based on a reference dataset. It enables users to keep an eye on every facet of their data, models, and testing outcomes. By proactively identifying and addressing issues with production models, it ensures sustained optimal performance and fosters ongoing enhancements. Additionally, the tool's versatility makes it suitable for teams of any size, enabling collaborative efforts in maintaining high-quality ML systems.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ZenML

Integrations

ZenML

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$500 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apple

Country

United States

Website

developer.apple.com/machine-learning/create-ml/

Vendor Details

Company Name

Evidently AI

Founded

2020

Country

United States

Website

www.evidentlyai.com

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Alternatives