yanyachen / rBayesianOptimizationLinks
Bayesian Optimization of Hyperparameters
☆87Updated last year
Alternatives and similar repositories for rBayesianOptimization
Users that are interested in rBayesianOptimization are comparing it to the libraries listed below
Sorting:
- Scalable decision tree training and inference.☆83Updated 8 months ago
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆48Updated 5 years ago
- R interface to TensorFlow Estimators☆58Updated 2 months ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆76Updated 11 months 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
- Gradient boosted models☆147Updated last year
- Utilities for glmnet☆65Updated 2 years ago
- Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.☆147Updated last month
- Standard API for Distributed Data Structures in R☆119Updated 8 years ago
- Easy Hyper Parameter Optimization with mlr and mlrMBO.☆31Updated 3 years ago
- Tidy machine learning pipelines☆134Updated 8 years ago
- Recurrent Neural Networks in R☆77Updated 2 years ago
- R Interface for LightGBM☆46Updated 7 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 3 years ago
- exploratory data analysis using random forests☆68Updated 7 years ago
- R package to interface some popular parallelization backends with a unified interface☆57Updated last year
- A simpler ggplot2 syntax, saving half of your typing.☆80Updated 7 years ago
- A Framework for Dimensionality Reduction in R☆73Updated 6 months ago
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 3 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- The set of functions used for time series analysis and in forecasting.☆94Updated this week
- Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.☆179Updated 8 months ago
- An R package to create and visualise fast-and-frugal decision trees (FFTs)☆137Updated last month
- Hierarchical and Grouped Time Series☆111Updated 10 months ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 4 years ago
- R package of generic neural network tools☆72Updated 3 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated last week
- Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.☆32Updated 3 years ago
- Adaptive and automatic gradient boosting computations.☆70Updated 3 years ago