Comments (1)
Got the answer. monotonic_trend should be set to None, so there's no further calculations. It just create the table following the provided bins :)
from optbinning.
Related Issues (20)
- binning_table on a subset of the original sample used for fitting
- scorecard coefficients HOT 2
- Missing target records all considered as 'Events' HOT 1
- Missing and Special bins added to index 0 with optb.transform HOT 1
- Can't enforce the. same bin on different dataset HOT 1
- Problem when executing binning_process.fit(X, Y) HOT 1
- Binning with Equal Counts HOT 4
- Bug memory error with ContinuousOptimalBinning HOT 1
- Can use Different classification algorithm for scorecard development ? HOT 1
- Incompatible GPL-licensed dependency `ecos` HOT 1
- Manual binning / Reverse Scorecard HOT 3
- Adjust plot size
- R Package HOT 1
- Scipy/cvxpy dependency bug
- Feature Request: give universal monotonic trend to features for automatic binning HOT 2
- Possible bug in OptimalBinning2D HOT 5
- Optbinning misses "missings" in binning HOT 2
- Explain meaning of min_event_rate_diff_x HOT 2
- Anaconda package support 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 optbinning.