statsmodels OLS API mod

Author: fs446

bias_variance_linear_regression.ipynb

@@ -331,19 +331,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": null,
    "id": "7d969206",
    "metadata": {},
    "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
-    "from statsmodels.api import OLS"
+    "from statsmodels.regression.linear_model import OLS"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": null,
    "id": "f18dc6d5",
    "metadata": {},
    "outputs": [],
@@ -391,7 +391,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": null,
    "id": "5e9a45d9",
    "metadata": {},
    "outputs": [],
@@ -729,7 +729,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "myddasp",
+   "display_name": "test_ols",
    "language": "python",
    "name": "python3"
   },
@@ -743,7 +743,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,

bias_variance_ridge_regression.ipynb

@@ -24,14 +24,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "c86e15f6",
    "metadata": {},
    "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
-    "from statsmodels.api import OLS"
+    "from statsmodels.regression.linear_model import OLS"
    ]
   },
   {
@@ -174,7 +174,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "6764d6da",
    "metadata": {},
    "outputs": [],
@@ -185,7 +185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "d8ef032a",
    "metadata": {},
    "outputs": [],
@@ -263,7 +263,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "e21f304f",
    "metadata": {},
    "outputs": [],
@@ -295,7 +295,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "id": "9afb4067",
    "metadata": {},
    "outputs": [],
@@ -337,7 +337,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "9c3ccf25",
    "metadata": {},
    "outputs": [],
@@ -669,7 +669,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "myddasp",
+   "display_name": "test_ols",
    "language": "python",
    "name": "python3"
   },
@@ -683,7 +683,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,

ols.ipynb

@@ -52,7 +52,7 @@
     "from numpy.linalg import inv, pinv\n",
     "from scipy.stats import f, t\n",
     "from scipy.linalg import svdvals\n",
-    "from statsmodels.api import OLS\n",
+    "from statsmodels.regression.linear_model import OLS\n",
     "from statsmodels.graphics.gofplots import qqplot\n",
     "\n",
     "\n",
@@ -570,9 +570,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "myddasp",
+   "display_name": "test_ols",
    "language": "python",
-   "name": "myddasp"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -584,7 +584,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,