Comments (2)
Very sorry, by the parameter "return_var" of the model.predict()? I'm too careless.
from keras-gp.
Yes, return_var
should return the predictive variances. given the predictive mean and variance at each point, you can reconstruct the full predictive Gaussian distribution (as we did for the plots).
from keras-gp.
Related Issues (20)
- Recurrent structure HOT 2
- Gaussian Process as non-final layer HOT 2
- Training GP on outputs from the last hidden layer HOT 3
- Inference not Converging msgp_mlp_kin40k.py HOT 1
- Octave returned: error: Two few unique points. HOT 4
- Training Error (Model object has no attribute '_check_num_samples') HOT 1
- Missing actuator.mat file
- Grid Creation HOT 2
- Save and load trained keras-gp model
- missing startup.m in the gpml in the backend? HOT 1
- P-Dimensional GP input shape HOT 1
- A strange phenomenon when gp-lstm is applied to a simulated dataset HOT 2
- Code for Pytorch HOT 1
- A question about hyperparameters
- A question about hyperparameters 'd' of Materniso kernel
- ImportError: cannot import name '_to_list' from 'keras.engine.topology' HOT 4
- Dataset missing for actuator.mat HOT 1
- Statistics package not installed HOT 1
- TensorFlow error when running gp_lstm_actuator.py 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 keras-gp.