nalzok / tree.interpreterLinks
Decision tree interpreter for randomForest/ranger as described in
☆12Updated 5 years ago
Alternatives and similar repositories for tree.interpreter
Users that are interested in tree.interpreter are comparing it to the libraries listed below
Sorting:
- Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders☆13Updated 4 years ago
- R package provides cereal header files☆12Updated 9 months ago
- ☆9Updated 8 years ago
- Projection Pursuit Forest Algorithm for Supervised Classification☆18Updated last week
- Fit Lasso model to binary rules created from tree ensembles☆12Updated 7 years ago
- Quickly transform data.frames into onehot encoded matrices☆10Updated 6 years ago
- Sparklyr extension making Flint time series library functionalities (https://github.com/twosigma/flint) easily accessible through R☆9Updated 3 years ago
- An R package for Neural Nets created using nnlib2☆13Updated 3 months ago
- Flexible Mixed Integer Evolutionary Strategies☆16Updated 3 months ago
- Dynamic Programming implemented in Rcpp. Includes example partition and out of sample fitting applications.☆15Updated last year
- Filter-based feature selection for mlr3☆21Updated 4 months ago
- (R) Efficient methods and operators for the sparse matrix classes in 'Matrix' (esp. CSR format or "RsparseMatrix")☆23Updated last year
- Enhanced Fork-Based Parallelization for R☆14Updated 2 months ago
- A blazingly fast implementation of Adaboost in R, based on C++ backend☆11Updated 9 years ago
- An implementation of Isolation forest☆25Updated 3 years ago
- General Regression Neural Networks☆11Updated 4 years ago
- Tutorial on Bayesian optimization in R☆15Updated 3 years ago
- Gower's distance for R☆29Updated last month
- rlemon - R interface to C++ LEMON graph library☆9Updated 5 months ago
- A reimplementation of the fastLm function of RcppEigen for big.matrix objects for fast out-of-memory linear model fitting☆13Updated 7 years ago
- Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on unseen data☆11Updated 4 months ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year
- Black-box optimization framework for R.☆23Updated 3 weeks ago
- Extreme Learning Machine using RcppArmadillo☆15Updated 2 years ago
- Variable importance via oscillations☆14Updated 4 years ago
- Rcpp Interface to mlpack (version 2.1.0 and up)☆24Updated 4 years ago
- Feature Extraction from Grouped Data. Tutorial:☆23Updated 5 years ago
- Miscellaneous helper functions for mlr3☆13Updated last week
- Imagining what a user-extensible iterator protocol for R might look like.☆10Updated 3 years ago
- Rcpp integration for the Ensmallen templated C++ mathematical optimization library☆32Updated 6 months ago