A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a supervised loss function. So it's called semisupervised Info GAN.
As far as I remember, these are points that start a variation of x% in the future [y0 <= -x%, y1 in [-x%;0], y2 in [0; +x%], y3 >= +x%]. X should be something between 2 and 7...
How do you evaluate the model? The generated images from synthetic data and real data are difficult to differentiate.