autofeat¶
autofeat automates feature synthesis, feature selection, and fitting a linear machine learning model.
Logo |
|
|---|---|
Website |
N/A |
Repository |
|
Byline |
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities |
License |
MIT |
Project age |
3 years 10 months |
Backers |
Personal Project (Creator and maintainer) |
Size score (1 to 10, higher is better) |
1.25 |
Trend score (1 to 10, higher is better) |
3.0 |
Education Resources¶
URL |
Resource Type |
Description |
|---|---|---|
Video |
Presentation on Autofeat by its creator, Franziska Horn (2019) |
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
|---|---|---|
Commits |
56 |
0 |
Lines committed |
15,905 |
0 |
Unique committers |
4 |
0 |
Core committers |
1 |
0 |
Similar Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
1.5 |
6.75 |
Feature selector is a tool for dimensionality reduction of machine learning datasets. |
|
4.25 |
7.5 |
An open source python library for automated feature engineering |
|
2.5 |
3.5 |
TSFRESH automatically extracts 100s of features from time series. |