Tong He

No, I am trying to plot the daily difference for the stock `AAPL`. There are all float points. For example: ``` javascript [0.05,-0.34,-1.17,3.51,4.52] ``` The color interpolation is not feasible...

I use the following parameters: ``` javascript legendColors: { min: "red", max: "green" } ``` The plot looks like this:  I hope there could be a field called `middle`,...

@kamisama It is a more feasible solution. But actually I am using [a third-party library in R](https://github.com/ramnathv/rChartsCalendar). It is an interface between R and your library, while it is not...

Will add that feature soon. In case you need it right now, you can save both the parameters by `net.save_parameters()`, and the state of the trainer by `trainer.save_states()`, and load...

I'd like to hold this implementation from merged into our incoming release, unless one of the following can be met: 1. the weights are transferred from the official source, or...

OK you are right, `F.slice_axis` makes it equivalent.

The thing I'd like to raise here is the inconsistency across our APIs and scripts. Here are some examples: - Example 1: - Pre-trained classification models have a list of...

Thank you so much for the quick reply! I am curious about the `num_epochs = 480` at: https://github.com/liangfu/mxnet-mobilenet-v2/blob/master/train_imagenet.py#L56 . What makes you decide to train the model for 480 epochs?...

For multiplier=1.0, I didn't change the augmentation and still gets to 71.7%. But since I failed with 0.75, I'll try your augmentation approach. Thanks again for sharing!

With the 80*2 batch size, [this script](https://github.com/dmlc/gluon-cv/blob/master/scripts/classification/imagenet/train_imagenet.py) hit 71.8% at the 261-th epoch. I'll let it run through the entire 480 epochs and publish the model and training logs to...