Apache SystemML Framework

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