Removing print statements

  w = np.ones((n_samples, n_tasks))

  missing = np.zeros_like(y).astype(int)

  tensors = []

  print("n_samples")

  print(n_samples)

  for ind in range(n_samples):

    print("ind")

    print(ind)

    datapoint = df.iloc[ind]

    feature_list = []

    for feature_type in feature_types:

        y[ind, task] = 0.

        w[ind, task] = 0.

  print("x")

  print(x)

  print("w")

  print(w)

  print("missing")

  print(missing)

  print("y")

  print(y)

  return sorted_ids, x.astype(float), y.astype(float), w.astype(float)

def compute_mean_and_std(df):