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Hi, i've found your approach very interesting. If there is any interest, i'd like to help implementing a python version. Are there any papers explaining your approach so i can use as a reference?
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As an end user, it would be great to be able to interpret the models such as learned features, their importance and overall importance of each channel.
Integration of methods as in https://github.co…
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I am using HELOC dataset which can be downloaded from https://community.fico.com/s/explainable-machine-learning-challenge?tabset-3158a=2.
I am using an XGBoost model as classification function and …
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# General features
- [x] add grids
- [x] add successive halving
- [ ] add timeouts
- [x] add simple models
- [x] add cleanup function for dirty floats
- [ ] add cleanup for low cardinality int
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#### Is your feature request related to a problem? Please describe
There are many times when we might want to show tabular data to our users with a known, multi-column grouped structure. Today, we ca…
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Hi Phillip,
Our implementation of the model is working on MNIST digits and we're currently looking for an extension. We tweaked the model to make it work for the CIFAR-10 dataset, however, the prot…
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For each proportion setting, I still have the same number of objects. To me, the package seems to balance the dataset as if proportion = 1, regardless of which value I assign to proportion.
The c…
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[Synthesizing the preferred inputs for neurons in neural networks via deep generator networks](http://papers.nips.cc/paper/6519-synthesizing-the-preferred-inputs-for-neurons-in-neural-networks-via-dee…
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- https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0130140
- **LRP**
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# Task Name
Emoji-Grounded Speech Emotion Recognition
## Task Objective
The primary goal of the Emoji-Grounded Speech Emotion Recognition (EG-SER) task is to develop a system that can accurat…