Comments (4)
@Mamba413 Thanks for you suggestion! I have read the corresponding document. SelectFromModel
selects features throuth a specific attribute (e.g. coef_
), which measures the importance of features, of a base estimator (e.g. abess.LinearRegression
). Therefore, abess
is already compatible with SelectFromModel
and a typical usage can be made as follows:
import numpy as np
from abess.datasets import make_glm_data
from abess import LinearRegression
from sklearn.feature_selection import SelectFromModel
np.random.seed(0)
n, p, k = 300, 1000, 5
data = make_glm_data(n=n, p=p, k=k, family='gaussian')
X, y = data.x, data.y
print(X.shape) # (300, 1000)
model = LinearRegression().fit(X, y)
sfm = SelectFromModel(model, prefit=True)
X_new = sfm.transform(X)
print(X_new.shape) # (300, 5)
from abess.
@chenpnn Thx! It would be better to mark it on: https://abess.readthedocs.io/en/latest/auto_gallery/5-scikit-learn-connection/plot_1_scikit_learn.html#sphx-glr-auto-gallery-5-scikit-learn-connection-plot-1-scikit-learn-py. You can feel free to reorganize this Tutorial page.
Ok, I have added an example to this tutorial page.
from abess.
@chenpnn Thx! It would be better to mark it on: https://abess.readthedocs.io/en/latest/auto_gallery/5-scikit-learn-connection/plot_1_scikit_learn.html#sphx-glr-auto-gallery-5-scikit-learn-connection-plot-1-scikit-learn-py.
You can feel free to reorganize this Tutorial page.
from abess.
Thanks for your contribution! It will be better to use a pull request in future.
from abess.
Related Issues (20)
- Segmentation fault using v0.4.6 on Linux HOT 6
- Possible to include calcualtion of Bayes Factor according to Dunstan et al (2022)? HOT 3
- Perhaps a typo in the online tutorial for multi-response linear regression HOT 2
- Apparently Inconsistent Behaviour in LinearRegression - Expected Behaviour or Not? HOT 2
- Is it possible to combine `group` and `always_select` to always select a whole group? HOT 3
- [Bug] No termination within reasonable time for Poisson regression in a specific case HOT 6
- Incorporation of `fit_intercept` to `LinearRegression`? HOT 9
- Why the data generator funciton `make_glm_data` for gamma will define n shape parameters for a data set HOT 2
- Incorrect optimal support size in a multitask learning problem with nonnegativity constraints HOT 15
- How I can aviod intercept when I do abess in R HOT 1
- Provide any option for inference? HOT 12
- Risk Score Card Develope HOT 3
- How to set test data HOT 1
- [Feature] Release new version of `abess` on PyPI and Conda HOT 2
- Any way to work with preselected sets of variables in abess & with MBIC criterion? HOT 8
- Version 0.4.7 crashing when LinearRegression.fit() invoked HOT 3
- Colname errors HOT 1
- different results on Mac, Linux, Windows HOT 2
- [Feature] add a Wikipedia page about `abess` HOT 1
- Failed to build abess HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from abess.