Comments (2)
It's more like this:
Original feature contributions to the class logits:
class 0: {1, 1, 0, -1}
class 1: {1, 0, 1, -3}
Mean feature contributions across logits of all classes: {1, 0.5, 0.5, -2}
Mean-normalized feature contributions:
class 0: {0, 0.5, -0.5, 1}
class 1: {0, -0.5, 0.5, -1}
Does that make sense? The goal is to account for the fact that if a feature contributes equally to the logits of all softmax classes, that means it effectively contributes to none of the softmax classes. For example, the first feature is contributing "1" to both class 0 and class 1; that means it is effectively contributing to none of the classes (because the contribution would cancel out the numerator and denominator of the softmax).
from deeplift.
cystral clear now ... thank you so much ...
from deeplift.
Related Issues (20)
- categorial variables HOT 2
- KeyError: 'batch_input_shape' while using deeplift on keras
- KeyError: 'zeropadding2d' HOT 1
- Question regarding version 0.6.11.0 that is not anymore available. HOT 2
- bpnet/deepexplain issue
- genomics training example HOT 1
- DeepLIFT with the RevealCancel rule
- Deeplift with Cifar10 HOT 3
- how do I download deeplift version of 0.5.1-theano HOT 2
- How to use deeplift for regression HOT 1
- Does DeepLIFT support to use deep residual? I have a model with deep residual, and want to use DeepLIFT to interpret it too. Thanks! HOT 1
- can deeplift explain text classification? HOT 2
- Sequential model input layer convert HOT 3
- Aggregating contribution scores
- keras2_mnist_cnn_allconv.h5 of MNIST demo can't be decoded
- Dimension error in a multi-input, multi-channel CNN HOT 2
- AttributeError: module 'tensorflow' has no attribute 'placeholder'
- deepLIFT scores always central to genomic sequence
- Dinucleotide shuffling does not shuffle
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 deeplift.