code: def portfolio_lr():
      lr = [
          LogisticRegression(C=1, max_iter=10000),
          LogisticRegression(C=0.1, max_iter=10000),
          LogisticRegression(C=10, max_iter=10000),
          LogisticRegression(C=0.01, max_iter=10000),
          LogisticRegression(C=10, max_iter=10000),
          LogisticRegression(
              C=224.662208931, max_iter=785, solver="liblinear"
          ),
          LogisticRegression(C=0.001, max_iter=10000),
          LogisticRegression(
              C=0.165918932915, max_iter=57, solver="liblinear"
          ),
          LogisticRegression(
              C=100000.0, max_iter=724, solver="liblinear"
          ),
          LogisticRegression(C=15.0, solver="liblinear"),
          LogisticRegression(C=0.01, max_iter=10000),
          LogisticRegression(solver="liblinear"),
          LogisticRegression(C=15.0, solver="liblinear"),
          LogisticRegression(C=0.01, solver="liblinear"),
          LogisticRegression(C=500),
          LogisticRegression(
              C=224.662208931, max_iter=785, solver="liblinear"
          ),
      ]
      return lr
  
label_desc: Use image node_id 1 for calling a global function with example usage: portfolio_lr() and returns: lr