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Search results for r tuning
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tuning
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30 search results found
Mlr
⭐
1,609
Machine Learning in R
Tune
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247
Tools for tidy parameter tuning
Dials
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110
Tools for creating tuning parameter values
Finetune
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61
Additional functions for model tuning
Irace
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53
Iterated Racing for Automatic Algorithm Configuration
Deepr
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46
An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
Mlr3tuning
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46
Hyperparameter optimization package of the mlr3 ecosystem
Enmeval
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42
R package for automated runs and evaluations of ecological niche models.
Sparkxgb
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40
R interface for XGBoost on Spark
Mlrhyperopt
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31
Easy Hyper Parameter Optimization with mlr and mlrMBO.
Tuneranger
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25
Automatic tuning of random forests
Paramhelpers
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25
Helpers for parameters in black-box optimization, tuning and machine learning.
Mlr3mbo
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23
Flexible Bayesian Optimization in R
Mvtboost
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22
Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
Sdmtune
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20
Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.
Ggshapes
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19
Adding various geometrical shapes to ggplot2
Mlr3hyperband
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17
Successive Halving and Hyperband in the mlr3 ecosystem
Pumas
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17
Fine-tuning polygenic risk score models using GWAS summary statistics
Irace
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16
❗ This is a read-only mirror of the CRAN R package irace — Iterated Racing for Automatic Algorithm Co Report bugs for this package: https://github.com/M
Xgboost In Insurance 2017
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12
Data and Code to reproduce results for my talk at Paris: R in Insurance 2017 Conference
Xtune
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10
An R 📦 for Lasso and Ridge Regression with differential penalization based on prior knowledge ✌️
Mlr3tuningspaces
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10
Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem
Fastadi
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9
Self-Tuning Data Adaptive Matrix Imputation
Customer Churn Analysis
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6
For the last few years Betfair is losing too many customers and is finding a solution to retain its customers. Aim of this project is to build a customer churn model to predict the customers who are about to get churned so that Betfair can implement different business strategies to retain those customers before they actually leave. The tools I am using for this analysis are R-studio and Tableau. Package mlr was chosen as the modeling package. The data for the purpose of prediction was provided b
Mtlsuite
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6
Meta-learning basic suite for machine learning experiments.
Loggle
⭐
6
An R Package for Estimating Time-Varying Graphical Models
Emse_best Answer Prediction
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6
Dataset, scripts, and additional material for the EMSE submission "Best-Answer Prediction in Technical Q&A Sites"
Daftrs
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5
Scripts to tweak and tune Focus RS in a user friendly manner
H2o Tutorial
⭐
5
H2O Tuning and Ensembling Tutorial for R
Hptuning
⭐
5
Machine Learning Hyper-parameter Tuning processes
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