Alternatives and similar repositories for r2pmml:

Users that are interested in r2pmml are comparing it to the libraries listed below

• vertica / ddR
  Standard API for Distributed Data Structures in R
  ☆118Updated 7 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆72Updated 3 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 8 years ago
• h2oai / rsparkling
  RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
  ☆63Updated 6 years ago
• WinVector / BigDataRStrata2017
  All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.
  ☆63Updated 4 years ago
• robjhyndman / anomalous
  Anomalous time series package for R
  ☆94Updated 6 years ago
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 2 years ago
• RevolutionAnalytics / dplyr-spark
  spark backend for dplyr
  ☆48Updated 9 years ago
• wush978 / FeatureHashing
  Implement feature hashing with R
  ☆98Updated last year
• zachmayer / caretEnsemble
  caret models all the way down
  ☆225Updated last month
• andland / libFMexe
  libFM R package
  ☆26Updated 8 years ago
• gravesee / isofor
  Isolation Forest implementation in R
  ☆65Updated 5 years ago
• rstudio / sparkDemos
  ☆53Updated 6 years ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 9 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• robjhyndman / anomalous-acm
  Anomalous time series package for R (ACM)
  ☆119Updated 6 years ago
• vertica / vertica.dplyr
  ☆22Updated 7 years ago
• tomasgreif / woe
  R Package - calculate Information Value and WoE (Weight of Evidence)
  ☆30Updated 5 years ago
• drsimonj / pipelearner
  Tidy machine learning pipelines
  ☆133Updated 7 years ago
• gbm-developers / gbm3
  Gradient boosted models
  ☆137Updated 8 months ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆60Updated 2 years ago
• jadianes / spark-r-notebooks
  R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
  ☆120Updated 7 years ago
• rstudio / tfestimators
  R interface to TensorFlow Estimators
  ☆57Updated 3 years ago
• jpmml / jpmml-r
  Java library and command-line application for converting R models to PMML
  ☆34Updated last week
• ellisp / forecastxgb-r-package
  An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes
  ☆140Updated 7 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 8 years ago
• tidyverts / fasster
  Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors
  ☆149Updated 2 years ago
• Coorsaa / shinyMlr
  shiny-mlr: Integration of the mlr package into shiny
  ☆93Updated 6 years ago
• andrie / RHadoop-tutorial
  A tutorial on R and Hadoop, using the RHadoop project
  ☆41Updated 9 years ago