caret - Classification and Regression Training

Misc functions for training and plotting classification and regression models.

Last updated 2 years ago

18.87 score 1.6k stars 287 packages 56k scripts 202k downloads

recipes - Preprocessing and Feature Engineering Steps for Modeling

A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.

Last updated 8 days ago

18.57 score 570 stars 360 packages 6.8k scripts 173k downloads

parsnip - A Common API to Modeling and Analysis Functions

A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', 'H2O', etc).

Last updated 15 days ago

16.21 score 597 stars 64 packages 3.1k scripts 32k downloads

tidymodels - Easily Install and Load the 'Tidymodels' Packages

The tidy modeling "verse" is a collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.

Last updated 1 months ago

16.06 score 771 stars 12 packages 44k scripts 39k downloads

tune - Tidy Tuning Tools

The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.

Last updated 18 hours ago

14.24 score 282 stars 34 packages 716 scripts 29k downloads

C50 - C5.0 Decision Trees and Rule-Based Models

C5.0 decision trees and rule-based models for pattern recognition that extend the work of Quinlan (1993, ISBN:1-55860-238-0).

Last updated 2 years ago

12.10 score 50 stars 12 packages 1.2k scripts 19k downloads

probably - Tools for Post-Processing Predicted Values

Models can be improved by post-processing class probabilities, by: recalibration, conversion to hard probabilities, assessment of equivocal zones, and other activities. 'probably' contains tools for conducting these operations as well as calibration tools and conformal inference techniques for regression models.

Last updated 1 months ago

11.64 score 115 stars 21k scripts 2.1k downloads

Cubist - Rule- And Instance-Based Regression Modeling

Regression modeling using rules with added instance-based corrections.

Last updated 5 months ago

11.49 score 39 stars 17 packages 2.8k scripts 28k downloads

modeldata - Data Sets Useful for Modeling Examples

Data sets used for demonstrating or testing model-related packages are contained in this package.

Last updated 1 months ago

10.92 score 22 stars 14 packages 2.3k scripts 29k downloads

finetune - Additional Functions for Model Tuning

The ability to tune models is important. 'finetune' enhances the 'tune' package by providing more specialized methods for finding reasonable values of model tuning parameters. Two racing methods described by Kuhn (2014) <arXiv:1405.6974> are included. An iterative search method using generalized simulated annealing (Bohachevsky, Johnson and Stein, 1986) <doi:10.1080/00401706.1986.10488128> is also included.

Last updated 3 months ago

8.46 score 62 stars 708 scripts 1.6k downloads

tidyposterior - Bayesian Analysis to Compare Models using Resampling Statistics

Bayesian analysis used here to answer the question: "when looking at resampling results, are the differences between models 'real'?" To answer this, a model can be created were the performance statistic is the resampling statistics (e.g. accuracy or RMSE). These values are explained by the model types. In doing this, we can get parameter estimates for each model's affect on performance and make statistical (and practical) comparisons between models. The methods included here are similar to Benavoli et al (2017) <https://jmlr.org/papers/v18/16-305.html>.

Last updated 1 months ago

8.39 score 102 stars 238 scripts 433 downloads

modeldb - Fits Models Inside the Database

Uses 'dplyr' and 'tidyeval' to fit statistical models inside the database. It currently supports KMeans and linear regression models.

Last updated 11 months ago

databasedbplyrdplyrggplot2modelingrlangsqltidyevalvisualization

7.89 score 79 stars 62 scripts 241 downloads

baguette - Efficient Model Functions for Bagging

Tree- and rule-based models can be bagged (<doi:10.1007/BF00058655>) using this package and their predictions equations are stored in an efficient format to reduce the model objects size and speed.

Last updated 1 months ago

7.53 score 25 stars 566 scripts 922 downloads

brulee - High-Level Modeling Functions with 'torch'

Provides high-level modeling functions to define and train models using the 'torch' R package. Models include linear, logistic, and multinomial regression as well as multilayer perceptrons.

Last updated 1 months ago

7.47 score 67 stars 212 scripts 661 downloads

AmesHousing - The Ames Iowa Housing Data

Raw and processed versions of the data from De Cock (2011) <http://ww2.amstat.org/publications/jse> are included in the package.

Last updated 4 years ago

7.42 score 13 stars 2 packages 530 scripts 3.2k downloads

usemodels - Boilerplate Code for 'Tidymodels' Analyses

Code snippets to fit models using the tidymodels framework can be easily created for a given data set.

Last updated 1 months ago

6.89 score 84 stars 132 scripts 292 downloads

AppliedPredictiveModeling - Functions and Data Sets for 'Applied Predictive Modeling'

A few functions and several data set for the Springer book 'Applied Predictive Modeling'.

Last updated 1 years ago

6.85 score 36 stars 1.1k scripts 3.7k downloads

sfd - Space-Filling Design Library

A collection of pre-optimized space-filling designs, for up to ten parameters, is contained here. Functions are provided to access designs described by Husslage et al (2011) <doi:10.1007/s11081-010-9129-8> and Wang and Fang (2005) <doi:10.1142/9789812701190_0040>. The design types included are Audze-Eglais, MaxiMin, and uniform.

Last updated 11 months ago

6.60 score 48 packages 5 scripts 27k downloads

plsmod - Model Wrappers for Projection Methods

Bindings for additional regression models for use with the 'parsnip' package, including ordinary and spare partial least squares models for regression and classification (Rohart et al (2017) <doi:10.1371/journal.pcbi.1005752>).

Last updated 1 months ago

mixomics

5.97 score 14 stars 55 scripts 408 downloads

sparseLDA - Sparse Discriminant Analysis

Performs sparse linear discriminant analysis for Gaussians and mixture of Gaussian models.

Last updated 8 years ago

5.06 score 7 stars 3 packages 36 scripts 1.0k downloads

desirability - Function Optimization and Ranking via Desirability Functions

S3 classes for multivariate optimization using the desirability function by Derringer and Suich (1980).

Last updated 8 years ago

4.73 score 1 stars 1 packages 36 scripts 780 downloads

desirability2 - Desirability Functions for Multiparameter Optimization

In-line functions for multivariate optimization via desirability functions (Derringer and Suich, 1980, <doi:10.1080/00224065.1980.11980968>) with easy use within `dplyr` pipelines.

Last updated 30 days ago

4.53 score 10 stars 17 scripts 190 downloads

sparsediscrim - Sparse and Regularized Discriminant Analysis

A collection of sparse and regularized discriminant analysis methods intended for small-sample, high-dimensional data sets. The package features the High-Dimensional Regularized Discriminant Analysis classifier from Ramey et al. (2017) <arXiv:1602.01182>. Other classifiers include those from Dudoit et al. (2002) <doi:10.1198/016214502753479248>, Pang et al. (2009) <doi:10.1111/j.1541-0420.2009.01200.x>, and Tong et al. (2012) <doi:10.1093/bioinformatics/btr690>.

Last updated 3 years ago

4.17 score 3 stars 85 scripts 1.2k downloads

beans - Data on Dried Beans

These data contain morphological image measurements for dried beans from Koklu and Ozkan (2020) <doi:10.1016/j.compag.2020.105507>.

Last updated 3 years ago

3.48 score 1 stars 60 scripts 241 downloads

QSARdata - Quantitative Structure Activity Relationship (QSAR) Data Sets

Molecular descriptors and outcomes for several public domain data sets

Last updated 14 years ago

2.83 score 68 scripts 640 downloads