minor update to examples (#206)

Author: vinamrabenara

examples/logistic_regression.py

@@ -1,18 +1,27 @@
-from nums import numpy as nps
+import nums
+import nums.numpy as nps
 from nums.models.glms import LogisticRegression
 
+nums.init()
+
 
 # Make dataset.
+
 X1 = nps.random.randn(500, 1) + 5.0
 y1 = nps.zeros(shape=(500,), dtype=bool)
+
 X2 = nps.random.randn(500, 1) + 10.0
 y2 = nps.ones(shape=(500,), dtype=bool)
+
 X = nps.concatenate([X1, X2], axis=0)
 y = nps.concatenate([y1, y2], axis=0)
 
 
 # Train Logistic Regression Model.
-model = LogisticRegression(solver="newton-cg", tol=1e-8, max_iter=1)
+
+model = LogisticRegression(solver="newton", tol=1e-8, max_iter=1)
+
 model.fit(X, y)
 y_pred = model.predict(X)
+
 print("accuracy", (nps.sum(y == y_pred) / X.shape[0]).get())

examples/notebooks/logistic_regression.ipynb

@@ -6,8 +6,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from nums import numpy as nps\n",
-    "from nums.models.glms import LogisticRegression"
+    "import nums\n",
+    "import nums.numpy as nps\n",
+    "from nums.models.glms import LogisticRegression\n",
+    "\n",
+    "nums.init()"
    ]
   },
   {
@@ -17,10 +20,13 @@
    "outputs": [],
    "source": [
     "# Make dataset.\n",
+    "\n",
     "X1 = nps.random.randn(500, 1) + 5.0\n",
     "y1 = nps.zeros(shape=(500,), dtype=bool)\n",
+    "\n",
     "X2 = nps.random.randn(500, 1) + 10.0\n",
     "y2 = nps.ones(shape=(500,), dtype=bool)\n",
+    "\n",
     "X = nps.concatenate([X1, X2], axis=0)\n",
     "y = nps.concatenate([y1, y2], axis=0)"
    ]
@@ -32,16 +38,19 @@
    "outputs": [],
    "source": [
     "# Train Logistic Regression Model.\n",
-    "model = LogisticRegression(solver=\"newton-cg\", tol=1e-8, max_iter=1)\n",
+    "\n",
+    "model = LogisticRegression(solver=\"newton\", tol=1e-8, max_iter=1)\n",
+    "\n",
     "model.fit(X, y)\n",
     "y_pred = model.predict(X)\n",
+    "\n",
     "print(\"accuracy\", (nps.sum(y == y_pred) / X.shape[0]).get())"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -55,7 +64,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.10"
   }
  },
  "nbformat": 4,