Difference between revisions of "Meteos"

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Meteos (Machine Learning as a Service)

Meteos is Machine Learning as a Service (MLaaS) in Apache Spark.

Meteos allows users to analyze huge amount of data and predict a value by data mining and machine learning algorithms. Meteos create a workspace of Machine Learning via sahara spark plugin and manage some resources and jobs regarding Machine Learning.

Projects

Meteos

Python Meteos Client

Getting Started with Meteos

Instructions for getting started with Meteos using Devstack are available at: Meteos on Devstack

Design & Use Cases

• Meteos Architecture

• Meteos Use Cases

• Meteos Resources

• Meteos Prediction Models

API

• Meteos API

Examples

• Predict Sales by using LinearRegression Model

• Predict Victory or Defeat by using LogisticRegression Model

• Make a Decision by using DecisionTree Model

• Clustering User Preferences by using Kmeans Model

• Recommend Movie by using Recommendation Model