Comments (1)
In online classifiers, if you train the classifier again on the same training samples, you often get slightly better results. To do this, you just call the ".retrain()" method of the classifier.
from limdu.
Related Issues (20)
- online training behaviour for missclassification HOT 2
- SVM wrapper doesn't work HOT 10
- Always the same result for Bayesian classifier HOT 1
- svmlinear fix HOT 8
- work in browser? HOT 2
- limdu.utils.test does not exist. HOT 9
- Label Classification Result correct? HOT 2
- Node.js version HOT 1
- Does limdu support json file for saving and loading classifier? HOT 2
- This package is no longer usable because "brain" library has been removed HOT 7
- Big multi label classifier on db HOT 5
- How do I know the progress of Training? HOT 6
- Visualize Correlations between data? HOT 3
- Dataset mutation
- Missed fields on cross-validation
- Incorrect Accuracy
- Confusion in README
- sprintf deprecation HOT 1
- Feature suggestions HOT 3
- Security Notice & Bug Bounty - Command Injection - huntr.dev 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 limdu.