wtte-rnn
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ragulpr
WTTE-RNN a framework for churn and time to event prediction
- [ ] add changelog - [ ] edit contributors - [ ] edit setup.py - [ ] update on PyPi - [ ] Fix warning when K.epsilon() >= 1e-07...
I encountered some problems using the masking layer. The network, instead of skipping the padded timestamps, computes the gradients obtaining nan values. More in detail, I have padded the sequences...
Hi, thank you for your framework. I am trying to use it for charge event prediction at charging stations. For this, I have downsampled the data to 5min steps and...
@ragulpr, Spent the last very interesting month split between trying to implement this in R or magically arrive at a sufficient understanding of python to apply to this kaggle challenge:...
With e4e2343575c10876abc6ab91bd7a0eaeb7743d31 Python 3.6 with "KERAS_BACKEND=theano THEANO_FLAGS=optimizer=fast_compile" fails on develop (but did not fail on master 2 month ago. Something's wrong with either CI or theano moved. https://travis-ci.org/ragulpr/wtte-rnn/jobs/416410994
Hi, I was trying to run [this example](https://github.com/ragulpr/wtte-rnn-examples/blob/master/examples/hello-world-datapipeline.ipynb) to test WTTE. However, the cell "Format tensor for training" won't execute on my machine: ``` C:\Python36\python-3.6.2.amd64\lib\site-packages\wtte\transforms.py in normalize_padded(padded, means, stds, only_nonzero,...
Hi, I'm trying to reproduce the results in examples/keras/standalone_simple_example.ipynb, but the genrated data are different than what is shown in this notebook. Below are the data plotted in my local...
Hi, I've two questions regarding the preprocessing functions: - Regarding `prep_tensors` - the lines ``` y = y[:,1:] x = np.roll(x, shift=1, axis=1)[:,1:,] ``` Simply throw away the first event,...
Similar to [#32](https://github.com/ragulpr/wtte-rnn/issues/32), I'm also trying to use wtte-rnn for prediction on real data; I'm not getting very good performance, and trying to understand what are the different "knobs" I...
Is it possible to extract "feature importance" from an WTTE-RNN model?