Comments (3)
This transformation units mean log versus non log or we want to convert KDE evaluates on a range of values [2-100] to standard range[0-1]?
self.transf_data does this log to non-log and vice versa conversion.
from pop-de.
I don't understand the question. The issue is not about transforming the data point values in the feature space, it is about transforming the KDE density values after evaluating them.
Specifically the data points can be transformed then normalized then rescaled. Each of these changes will also change the density so needs to be accounted for in evaluating the KDE if we want a correctly scaled result.
from pop-de.
Closed by #21
from pop-de.
Related Issues (8)
- Add an example in documentation HOT 1
- Allow for transformation and rescaling of input data HOT 1
- Add plotting module & plot methods in the KDE classes HOT 1
- Add plotting module & plot methods in the KDE classes HOT 1
- Implement adaptive KDE via kdepy HOT 1
- Standardization of data HOT 1
- Add set_alpha and set_adaptive_parameters methods for awkde class HOT 1
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 pop-de.