Package: featForge 0.1.2
Rudolfs Kregers
featForge: Automated Feature Engineering for Credit Scoring
Automated feature engineering functions tailored for credit scoring. It includes utilities for extracting structured features from timestamps, IP addresses, and email addresses, enabling enhanced predictive modeling for financial risk assessment.
Authors:
featForge_0.1.2.tar.gz
featForge_0.1.2.zip(r-4.7-any)featForge_0.1.2.zip(r-4.6-any)
featForge_0.1.2.tar.gz(r-4.7-any)featForge_0.1.2.tar.gz(r-4.6-any)
featForge_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
featForge/json (API)
| # Install 'featForge' in R: |
| install.packages('featForge', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- featForge_sample_data - Sample Data for Package Testing and Demonstration
- featForge_transactions - Transactions Data for Package Testing and Demonstration
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:56e4271aaf. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 111 | ||
| source / vignettes | OK | 132 | ||
| linux-release | OK | 110 | ||
| windows-devel | OK | 69 | ||
| windows-release | OK | 60 | ||
| wasm-release | OK | 84 |
Exports:aggregate_applicationsaggregate_psd2_keyword_featurescyclical_coscyclical_sinextract_basic_description_featuresextract_email_featuresextract_ip_featuresextract_keyword_featuresextract_timestamp_features
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Aggregate Numeric Data by Periods | aggregate_applications |
| Aggregate PSD2 Keyword Features at the Application Level with Time Window Filtering | aggregate_psd2_keyword_features |
| Convert a Cyclical Variable to Cosine Representation | cyclical_cos |
| Convert a Cyclical Variable to Sine Representation | cyclical_sin |
| Extract Basic Description Features | extract_basic_description_features |
| Extract Email Features for Credit Scoring | extract_email_features |
| Extract IP Address Features | extract_ip_features |
| Extract Keyword Features from Text Descriptions | extract_keyword_features |
| Extract Timestamp Features | extract_timestamp_features |
| Sample Data for Package Testing and Demonstration | featForge_sample_data |
| Transactions Data for Package Testing and Demonstration | featForge_transactions |