mb706 / automlrLinks
☆26Updated 7 years ago
Alternatives and similar repositories for automlr
Users that are interested in automlr are comparing it to the libraries listed below
Sorting:
- Helpers for parameters in black-box optimization, tuning and machine learning.☆26Updated last year
- R wrapper for MLJAR API☆16Updated 6 years ago
- Composable Preprocessing Operators for MLR☆37Updated 7 months ago
- Package for a nice and smoothe usage of the shapley value for mlr☆26Updated 6 years ago
- Temporal HIErarchical Forecasting☆48Updated 2 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 4 years ago
- Model verification, validation, and error analysis☆59Updated 2 years ago
- Structure mining for xgboost model☆26Updated last week
- Easy Hyper Parameter Optimization with mlr and mlrMBO.☆31Updated 4 years ago
- libFM R package☆26Updated 9 years ago
- Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)☆58Updated 8 years ago
- Exploratory and diagnostic machine learning tools for R☆74Updated 4 years ago
- An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…☆23Updated 6 years ago
- An R interface to the Python module Featuretools☆50Updated 5 years ago
- Hierarchical and Grouped Time Series☆112Updated last year
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 3 years ago
- Shiny App that offers an interactive interface to explore the main functions of the [prophet Package](https://cran.r-project.org/package=…☆44Updated 7 years ago
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 5 years ago
- Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.☆32Updated 3 years ago
- Machine learning pipelines for R.☆67Updated 9 years ago
- An R wrapper of SHAP python library☆58Updated 2 years ago
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆48Updated 6 years ago
- Encode Categorical Features (unmaintained)☆32Updated 3 years ago
- Blog about time series data mining in R.☆74Updated 2 years ago
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆44Updated 2 years ago
- 2D Outlier Analysis using Shiny☆48Updated 3 years ago
- Automated exploratory data analysis☆82Updated 6 years ago
- Recurrent Neural Networks in R☆77Updated last week
- Isolation Forest implementation in R☆66Updated 6 years ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆98Updated 3 years ago