Comments (6)
Hi @phanxuanphucnd, it is passed to check the accuracy of the model. If you see the forward pass of the model, it will use 1:t-1 responses to predict t^th response. This is done via mask in the model.
from akt.
hi @arghosh pls, help me !
from akt.
Hi @arghosh.
In my understanding, this seems to be true as we already know the labels of tests. Assume that, labels is unavailable. How does this work?
from akt.
So in KT framework, we predict future responses based on past performances. If the prior history is 0, the model will be bad. Suppose, you want to predict t^th response (which is unavailable) based on t-1 responses (these should be available), just put anything (0, or 1) for the t^th response.
I am assuming you are talking about challenge setup. I need to understand what your exact problem setup is. Depending on your problem, it might not be a KT problem. You can use some collaborative filtering based techniques.
from akt.
Yes, Thanks @arghosh !
from akt.
in akt.py code Line 159 => Line 208 =>Line 281 =>Line 326 it masks the current and future responses.
from akt.
Related Issues (16)
- Comparison to other models (SAKT, DKT, DKVMN) HOT 2
- hyper-parameters of AKT for achieving the best mean test AUC
- dropout in attention function
- Padding Problem
- target response issue in AKT model
- How to draw the Fig.2?
- Issue while running AKT with individual snp data
- Loss of Model Performance after Removing 'with torch.no_grad()' at Line 304 in akt.py
- What is PID assist2009_pid HOT 1
- kq_same? HOT 1
- Why don't all the models care repeated response sequences with different skill tagging? HOT 1
- "key_padding_mask" in attention mechanism not be implemented? HOT 2
- Masking or slicing allowing the model to use previous interactions HOT 4
- A bug of Rasch Model-Based Embeddings, Please check it! HOT 4
- statics data: some users occur in a same dataset more than once or occur in both training and validation/testing data
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 akt.