R Markdown

R Markdown

RStudio PBC
+
+

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About

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.

About

R Markdown documents are fully reproducible. Use a productive notebook interface to weave together narrative text and code to produce elegantly formatted output. Use multiple languages including R, Python, and SQL. R Markdown supports dozens of static and dynamic output formats including HTML, PDF, MS Word, Beamer, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, scientific articles, websites, and more. R Markdown provides an authoring framework for data science. You can use a single R Markdown file to both. When you open the file in the RStudio IDE, it becomes a notebook interface for R. You can run each code chunk by clicking the icon. RStudio executes the code and display the results inline with your file.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies looking for an open source platform solution for the machine learning lifecycle

Audience

Markdown editor for individuals looking to export their files to PDF or HTML

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MLflow
Founded: 2018
United States
mlflow.org

Company Information

RStudio PBC
Founded: 2009
United States
rmarkdown.rstudio.com

Alternatives

Union Cloud

Union Cloud

Union.ai

Alternatives

DVC

DVC

iterative.ai

Categories

Categories

Integrations

Azure Marketplace
AWS Marketplace
Apache Spark
Azure Data Science Virtual Machines
Comet LLM
Determined AI
H2O.ai
IBM watsonx.data integration
Kedro
LLaMA-Factory
Microsoft 365
Modulos AI Governance Platform
OpenMetadata
Ragas
RapidSOS
Robust Intelligence
TensorFlow
UbiOps
conDati

Integrations

Azure Marketplace
AWS Marketplace
Apache Spark
Azure Data Science Virtual Machines
Comet LLM
Determined AI
H2O.ai
IBM watsonx.data integration
Kedro
LLaMA-Factory
Microsoft 365
Modulos AI Governance Platform
OpenMetadata
Ragas
RapidSOS
Robust Intelligence
TensorFlow
UbiOps
conDati
Claim MLflow and update features and information
Claim MLflow and update features and information
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Claim R Markdown and update features and information