Apache SystemML Framework

From GM-RKB
(Redirected from SystemML)
Jump to: navigation, search

A Apache SystemML Framework is a machine learning framework ...



References

2017

Descriptive Statistics
   Univariate Statistics
   Bivariate Statistics
   Stratified Bivariate Statistics
Classification
   Multinomial Logistic Regression
   Support Vector Machines
       Binary-Class Support Vector Machines
       Multi-Class Support Vector Machines
   Naive Bayes
   Decision Trees
   Random Forests
Clustering
   K-Means Clustering
Regression
   Linear Regression
   Stepwise Linear Regression
   Generalized Linear Models
   Stepwise Generalized Linear Regression
   Regression Scoring and Prediction
Matrix Factorization
   Principal Component Analysis
   Matrix Completion via Alternating Minimizations
Survival Analysis
   Kaplan-Meier Survival Analysis
   Cox Proportional Hazard Regression Model

2016

  • (Wikipedia, 2016) ⇒ https://en.wikipedia.org/wiki/Apache_SystemML Retrieved:2016-6-3.
    • Apache SystemML (incubating) is a flexible machine learning system that automatically scales to Spark and Hadoop clusters. SystemML's

      distinguishing characteristics are:

      1. Algorithm customizability via R-like and Python-like languages.
      2. Multiple execution modes, including Standalone, Spark Batch, Spark MLContext, Hadoop Batch, and JMLC.
      3. Automatic optimization based on data and cluster characteristics to ensure both efficiency and scalability.

2014

2011