chai-dom | DOM assertions for the Chai assertion library using vanilla | Assertion library

def main():
    Xtrain, Xtest, Ytrain, Ytest = get_normalized_data()
    print("Performing logistic regression...")

    N, D = Xtrain.shape
    Ytrain_ind = y2indicator(Ytrain)
    Ytest_ind = y2indicator(Ytest)

    # 1. full
    W = np.random.rand  

def weighted_cross_entropy_with_logits_v2(labels, logits, pos_weight,
                                          name=None):
  """Computes a weighted cross entropy.

  This is like `sigmoid_cross_entropy_with_logits()` except that `pos_weight`,
  allo  

def main(train='train.csv', test='test.csv', submit='logistic_pred.csv'):    
    print "Reading dataset..."
    train_data = pd.read_csv(train)
    test_data = pd.read_csv(test)
    all_data = np.vstack((train_data.ix[:,1:-1], test_data.ix[:,1:-1]))