Solution for Scikit-learn
\n",
    "   \n",
    "\n",
    "clf = skLogistic()\n",
    "clf.fit(X_train.get(), y_train.get())\n",
    "clf.score(X_test.get(), y_test.get())\n",
    "\n",
    "Solution for CuML
\n",
    "   \n",
    "\n",
    "reg = LogisticRegression()\n",
    "reg.fit(X_train,y_train)\n",
    "\n",
    "print(\"Coefficients:\")\n",
    "print(reg.coef_)\n",
    "print(\"Intercept:\")\n",
    "print(reg.intercept_)\n",
    "\n",
    "preds = reg.predict(X_test)\n",
    "\n",
    "print(preds)\n",
    "\n",
    "print('Scikit-learn accuracy: ' + str(reg.score(X_test, y_test)))\n",
    "\n",
    "