Visualize training scatter plots using Visdom

start_visdom.sh

python -m visdom.server -p 8080

train.py

import visualize

plot = visualize.Plot("Model A")
plot.register_scatterplot("Loss", "Epoch", "Loss")
for n in range(epoch):
    # ... compute average loss over training data
    plot.update_scatterplot("Loss", n + 1, loss)

visualize.py

import numpy
from visdom import Visdom


class Plot(object):
    def __init__(self, title, port=8080):
        self.viz = Visdom(port=port)
        self.windows = {}
        self.title = title

    def register_scatterplot(self, name, xlabel, ylabel):
        win = self.viz.scatter(
            X=numpy.zeros((1, 2)),
            opts=dict(title=self.title, markersize=5, xlabel=xlabel, ylabel=ylabel)
        )
        self.windows[name] = win

    def update_scatterplot(self, name, x, y):
        self.viz.updateTrace(
            X=numpy.array([x]),
            Y=numpy.array([y]),
            win=self.windows[name]
        )

Hello,
The updateTrace function was deprecated over six months ago. The code gives this error:

'Visdom' object has no attribute 'updateTrace'