keras-wtte-rnn

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build_data()

2

Hey - thanks for this demo. In your build_data func, whats the rationale behind the value 99 in the following line? xtemp[:, max_time-min(j, 99)-1:max_time, :] = engine_x[max(0, j-max_time+1):j+1, :]

EdMwa

Hi, i confused about something and want to make it clear. I will try to predict customer churn but first i need to prepare data for it. How should be...

talatccan

I'd like to share with you the BPI customer data I received from the author WTTI-RNN [Data](https://www.dropbox.com/s/ou4r5kvypq78hfn/bpi_visit_churn.zip?dl=1) This could make an interesting use case of your code. The way to...

burakbayramli

What are your best practices for dealing with NaN's in the output. I've decided to use masking in the reduce mean for finite values only: `tf.reduce_mean(tf.boolean_mask(out, tf.is_finite(out))` I'm thinking of...

ryanpeach

How may one specify (time-varying) covariates, censored indicator variable (binary), and time axis when training the model? Thanks for putting this together

ibarrien