gagejustins

for epoch in range(numEpochs):
  
  train(...) #Training code
  accuracy = eval(...) #Evaluate accuracy
  
  #If we've reached a new best accuracy
  if accuracy > best_accuracy:
    #Save model checkpoint
    torch.save({'epoch': epoch,
                'state_dict': model.state_dict(),

gagejustins

import Algorithmia

input = {
  "username": "elonmusk",
  "auth": {
      "app_key": "xxxxxxxxxx",
      "app_secret": "xxxxxxxxxx",
      "oauth_token": "xxxxxxxxxx",
      "oauth_token_secret": "xxxxxxxxxx"
  }

gagejustins

#Define your API Key from Algorithmia
apikey = 'YOUR_API_KEY'

#Initialize the Algorithmia client
client = Algorithmia.client(apikey)

#Create an instance of the RetrieveTweetsWithKeyword algorithm
algo = client.algo('diego/RetrieveTweetsWithKeyword/0.1.2')

#Call the algorithm for both of our keywords and store the results