Feature hashing, also called as the hashing trick, is a method to transform features of a instance to a vector. Thus, it is a method to transform a real dataset to a matrix. Without looking up the indices in an associative array, it applies a hash function to the features and uses their hash values as indices directly. The method of feature hashing in this package was proposed in Weinberger et al. (2009) <arXiv:0902.2206>. The hashing algorithm is the murmurhash3 from the 'digest' package. Please see the ...
| License | GPL 3.0 |
|---|---|
| Tags | rlangcran |
| HomePage | https://github.com/wush978/FeatureHashing 🔍 Inspect URL |
| Ranking | #411972 in MvnRepository (See Top Artifacts) |
| Used By | 1 artifacts |
| Version ▼ | Vulnerabilities | Repository | Usages | Date | |
|---|---|---|---|---|---|
0.9.x | 0.9.1.3-b4 | BeDataDriven |
0
| Apr 30, 2022 | |
| 0.9.1.3-b3 | BeDataDriven |
0
| Apr 30, 2022 | ||
| 0.9.1.3-b2 | BeDataDriven |
0
| Apr 30, 2022 | ||
| 0.9.1.3-b1 | BeDataDriven |
0
| Apr 30, 2022 | ||
| 0.9.1.1-b49 | BeDataDriven |
0
| Apr 30, 2022 | ||
| 0.9.1.1-b46 | BeDataDriven |
0
| Apr 30, 2022 | ||
| 0.9.1.1-b45 | BeDataDriven | Apr 30, 2022 | |||
| 0.9.1.1-b44 | BeDataDriven | Apr 30, 2022 | |||
| 0.9.1.1-b43 | BeDataDriven |
0
| Apr 30, 2022 | ||
| 0.9.1.1-b41 | BeDataDriven |
0
| Apr 30, 2022 |
Related Books
| R in Action, Third Edition: Data analysis and graphics with R and Tidyverse (2022) by Kabacoff, Robert I. | |
| Data Science with Java: Practical Methods for Scientists and Engineers (2017) by Michael R. Brzustowicz PhD |