sorhawell / forestFloorLinks
R package to visualize mapping structures of random forests with feature contributions
☆41Updated 3 years ago
Alternatives and similar repositories for forestFloor
Users that are interested in forestFloor are comparing it to the libraries listed below
Sorting:
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 4 months ago
- A system for blending regression models in R☆75Updated 12 years ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- Generates a visualization of binary classifier performance as a grid of diagonstic plots with just one function call☆50Updated 4 years ago
- gputools R package for gpu computing☆68Updated 6 years ago
- Notes on generalized linear models☆109Updated 6 years ago
- Migrated to GitLab☆19Updated 2 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 months ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- Norm Matloff's Rth package☆54Updated 10 years ago
- R package of generic neural network tools☆72Updated 3 years ago
- An R package for better visualizing a statistical learning model☆35Updated 2 years ago
- Learning Discrete Bayesian Network Classifiers from Data☆20Updated last year
- Restricted Boltzmann Machines in R☆36Updated 4 years ago
- An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.☆46Updated 10 years ago
- exploratory data analysis using random forests☆68Updated 7 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 3 years ago
- R interface to Tensorflow via skflow☆18Updated 9 years ago
- Visualise line profiling results in R☆107Updated 9 years ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆47Updated 4 years ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- repo for "Optimal Inference After Model Selection"☆12Updated 8 years ago
- Scalable decision tree training and inference.☆83Updated 6 months ago
- RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)☆27Updated last year
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- R package to interface some popular parallelization backends with a unified interface☆57Updated last year
- Robust and efficient workflows using a simple language agnostic approach☆87Updated 5 months ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME met…☆35Updated 5 years ago