curiousily

// What is a Tensor?

const myFirstTensor = tf.scalar(42)
console.log(myFirstTensor)
myFirstTensor.print()


const oneDimTensor = tf.tensor1d([1, 2, 3])
oneDimTensor.print()

curiousily

def create_dataset(X, y, time_steps=1):
    Xs, ys = [], []
    for i in range(len(X) - time_steps):
        v = X.iloc[i:(i + time_steps)].values
        Xs.append(v)
        ys.append(y.iloc[i + time_steps])
    return np.array(Xs), np.array(ys)

curiousily

cfg.SOLVER.IMS_PER_BATCH = 4
cfg.SOLVER.BASE_LR = 0.001
cfg.SOLVER.WARMUP_ITERS = 1000
cfg.SOLVER.MAX_ITER = 1500
cfg.SOLVER.STEPS = (1000, 1500)
cfg.SOLVER.GAMMA = 0.05

curiousily

app_reviews_df = pd.DataFrame(app_reviews)
app_reviews_df.to_csv('reviews.csv', index=None, header=True)

curiousily

len(app_reviews)

curiousily

{
  "appId": "com.anydo",
  "at": "2020-04-05 22:25:57",
  "content": "Update: After getting a response from the developer I would change my rating to 0 stars if possible. These guys hide behind confusing and opaque terms and refuse to budge at all. I'm so annoyed that my money has been lost to them! Really terrible customer experience. Original: Be very careful when signing up for a free trial of this app. If you happen to go over they automatically charge you for a full years subscription and refuse to refund. Terrible customer experience and the app is just OK.",
  "repliedAt": "2020-04-07 14:09:03",
  "replyContent": "Our policy and TOS are completely transparent and can be found in the Help Center and our main page. In addition, a payment can only be made upon the user's authorization via the app and Google Play. We provide users with a full 7 days trial to test the app with an additional 48 hours for a refund, along with priority support for all issues.",
  "reviewCreatedVersion": "4.17.0.3",
  "score":

curiousily

print_json(app_reviews[0])

curiousily

app_reviews = []

for ap in tqdm(app_packages):
  for score in list(range(1, 6)):
    for sort_order in [Sort.MOST_RELEVANT, Sort.NEWEST]:
      rvs, _ = reviews(
        ap,
        lang='en',
        country='us',
        sort=sort_order,

curiousily

app_infos_df = pd.DataFrame(app_infos)
app_infos_df.to_csv('apps.csv', index=None, header=True)

curiousily

def format_title(title):
  sep_index = title.find(':') if title.find(':') != -1 else title.find('-')
  if sep_index != -1:
    title = title[:sep_index]
  return title[:10]

fig, axs = plt.subplots(2, len(app_infos) // 2, figsize=(14, 5))

for i, ax in enumerate(axs.flat):
  ai = app_infos[i]