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import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam

model = Sequential()
model.add(Dense(10, input_dim=X_train.shape[1], activation='sigmoid'))
model.add(Dense(1, activation='sigmoid'))
model.compile(optimizer=Adam(lr=0.01),
              loss='binary_crossentropy',

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line_count_query="""
SELECT COUNT(*) FROM BREATHE.{table_name}
"""

for table in tables:
  res = client.query(line_count_query.format(table_name=table)).to_dataframe().values[0, 0]
  lines_counts.append((table, res))

lines_counts = pd.DataFrame(lines_counts, columns=['table', 'rows'])