Egil Martinsson

Not sure if relevant for this repo or gpu, but there's no tensorflow 1.5.0 wheel for python 3.7 so if you're using latest version of conda while pip-installing you won't...

Hi there and sorry for the slow response. Very happy for the contribution and I'm surprised and impressed that someone took their time to think about this issue too, because...

Also, see my comments on #59

Thanks for reporting, I haven't run `standalone_simple_example.ipynb` for a while, it must be numpy-api changes or something of the sort. I'd copy paste use the data-generating code from `simple_example.ipynb` instead,...

Hi, great questions. You understood it right, throw away the first timestep. There's alternatives but I think this was the most generally safe. From the [data pipeline template:](https://github.com/ragulpr/wtte-rnn-examples/blob/master/examples/data-pipeline-template.ipynb) ``` #...

Nice catch, did not try with MKL before! None of those test should be affected by your commit so it's a sign that they are failing due to your local...

Done! Sorry for slow response, been afk

In theory, feature importance for neural networks is a tricky question and in general there's no nice tricks/clear winning strategy as with trees that I know about (but I know...

The knobspace is huge. It should not be possible to do worse than a simple exponential/cox regression model (since it's basically a wtte with beta=1 and only a single linear...

I'm not sure I'm following on the setup of the testing but I'm sure it's specific to your domain so maybe not relevant. But the question *who's going to churn*...