test code for different fitting function

Author: Jawad Chowdhury

BGlib/misc/jc1_bg_gui_basic.ipynb

@@ -1208,31 +1208,6 @@
     "            ax.plot(vdc, loop_fit_function(vdc, *init_guess_coef_vec))\n",
     "        except Exception as e:\n",
     "            print('Error: ', e)                  \n",
-    "    ##    \n",
-    "    from sklearn.metrics import r2_score\n",
-    "    best_guess = init_guess_coef_vec.copy()\n",
-    "    try:\n",
-    "        best_guess, _ = curve_fit(loop_fit_function, vdc, pr_vec, p0=init_guess_coef_vec, maxfev=5000)\n",
-    "        best_pred = loop_fit_function(vdc, *best_guess)\n",
-    "        best_err = np.sum((pr_vec - best_pred) ** 2)\n",
-    "        best_r2 = r2_score(pr_vec, best_pred)\n",
-    "    except RuntimeError:\n",
-    "        best_err = np.inf\n",
-    "        best_r2 = -np.inf\n",
-    "        \n",
-    "    for trial_no in range(1000):\n",
-    "        if best_r2 >= 0.95:\n",
-    "            break        \n",
-    "        p0_rand = init_guess_coef_vec * (1 + 0.3 * np.random.randn(len(init_guess_coef_vec)))\n",
-    "        try:\n",
-    "            guess, _ = curve_fit(loop_fit_function, vdc, pr_vec, p0=p0_rand, maxfev=5000)\n",
-    "            pred = loop_fit_function(vdc, *guess)\n",
-    "            err = np.sum((pr_vec - pred) ** 2)\n",
-    "            r2 = r2_score(pr_vec, pred)\n",
-    "            if err < best_err:\n",
-    "                best_guess, best_err, best_r2 = guess, err, r2\n",
-    "        except RuntimeError:\n",
-    "            continue\n",
     "    ##\n",
     "    X = []\n",
     "    y = []    \n",