ihsgnef

{
  "embeddings": [
    {
      "tensorName": "My tensor",
      "tensorShape": [
        52420,
        200
      ],
      "tensorPath": "https://entilzha-us-west-2.s3-us-west-2.amazonaws.com/shifeng/proto_tensors.tsv",
      "metadataPath": "https://entilzha-us-west-2.s3-us-west-2.amazonaws.com/shifeng/proto_metadata.tsv",

ihsgnef

import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt

color_name = 'color{}'
define_color = '\definecolor{{{}}}{{HTML}}{{{}}}'
box = '\\mybox{{{}}}{{\strut{{{}}}}}'

cmap = plt.cm.get_cmap('RdBu')

ihsgnef

import numpy as np
import matplotlib
import matplotlib.pyplot as plt

def colorize(words, color_array):
    # words is a list of words
    # color_array is an array of numbers between 0 and 1 of length equal to words
    cmap = matplotlib.cm.get_cmap('RdBu')
    template = '<span class="barcode"; style="color: black; background-color: {}">{}</span>'
    colored_string = ''

ihsgnef

import random
import numpy as np
from collections import defaultdict

import torch
from torch.autograd import Variable

from vocab import PAD_ID

class Iterator(object):