MLJAR is described as 'Platform for rapid prototyping, development and deploying pattern recognition algorithms. You simply upload dataset and MLJAR train&tune for you many ML algorithms, like:' and is an app. There are five alternatives to MLJAR for Web-based, Self-Hosted and SaaS. The best MLJAR alternative is Apache PredictionIO, which is both free and Open Source. Other great apps like MLJAR are Google Prediction API, BigML, ApXML and Gradient.
Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task.
Apache PredictionIO is the most popular SaaS alternative to MLJAR.
Apache PredictionIO is the most popular Open Source & free alternative to MLJAR.
Google Prediction API is the most popular Web-based alternative to MLJAR.
BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
BigML is the most popular Self-Hosted alternative to MLJAR.
ApX is an AutoML platform that simplifies machine learning workflows by automating data prep, model building, and tuning for faster, more efficient results.
Gradient° is a suite of tools for exploring data and training neural networks. Gradient° includes 1-click Jupyter notebooks, a powerful job runner, and a python module to run any code on a fully managed GPU cluster in the cloud.
Gradient is the most popular commercial alternative to MLJAR.
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