SYMBOL INDEX (26 symbols across 8 files)

FILE: cnn.py
  class CNN (line 8) | class CNN():
    method __init__ (line 10) | def __init__(self, num_features, num_historical_days, is_train=True):

FILE: gan.py
  class GAN (line 9) | class GAN():
    method sample_Z (line 11) | def sample_Z(self, batch_size, n):
    method __init__ (line 14) | def __init__(self, num_features, num_historical_days, generator_input_...

FILE: get_predictions.py
  class Predict (line 19) | class Predict:
    method __init__ (line 21) | def __init__(self, num_historical_days=20, days=10, pct_change=0, gan_...
    method gan_predict (line 44) | def gan_predict(self):

FILE: get_stock_data.py
  class nasdaq (line 10) | class nasdaq():
    method __init__ (line 11) | def __init__(self):
    method build_url (line 15) | def build_url(self, symbol):
    method symbols (line 19) | def symbols(self):
  function download (line 27) | def download(i, symbol, url, output):
  function download_all (line 40) | def download_all():

FILE: plot_confusion_matrix.py
  function plot_confusion_matrix (line 7) | def plot_confusion_matrix(cm, classes,

FILE: train_cnn.py
  class TrainCNN (line 13) | class TrainCNN:
    method __init__ (line 15) | def __init__(self, num_historical_days, days=10, pct_change=0):
    method random_batch (line 48) | def random_batch(self, batch_size=128):
    method train (line 66) | def train(self, print_steps=100, display_steps=100, save_steps=1000, b...

FILE: train_gan.py
  class TrainGan (line 8) | class TrainGan:
    method __init__ (line 10) | def __init__(self, num_historical_days, batch_size=128):
    method random_batch (line 41) | def random_batch(self, batch_size=128):
    method train (line 49) | def train(self, print_steps=100, display_data=100, save_steps=1000):

FILE: train_xgb_boost.py
  class TrainXGBBoost (line 13) | class TrainXGBBoost:
    method __init__ (line 15) | def __init__(self, num_historical_days, days=10, pct_change=0):
    method train (line 70) | def train(self):