feat: pca analysis for data augmentation

Author: LeoBorai

notebooks/analysis.ipynb

@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "1e6cb773-71cc-4827-8882-e4dd0eaf5478",
    "metadata": {},
    "outputs": [],
@@ -62,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "46d1d0fe-c9b9-43ef-8cb1-74360135d8f5",
    "metadata": {},
    "outputs": [
@@ -148,7 +148,7 @@
        "4  5.4  3.9  1.7  0.4  Iris-setosa"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -159,7 +159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "987e298b-ca34-4103-b571-fe9e8fea7e9e",
    "metadata": {},
    "outputs": [
@@ -205,7 +205,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "db3e7ef3-a02d-4668-8091-8aef593316b9",
    "metadata": {},
    "outputs": [],
@@ -215,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "c1ed3e1b-48ed-4640-860c-d2f987566c18",
    "metadata": {},
    "outputs": [
@@ -301,7 +301,7 @@
        "4           5.4          3.9           1.7          0.4  Iris-setosa"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -320,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "5ce89784-b9b0-4d4f-b2c9-df086eb9815f",
    "metadata": {},
    "outputs": [
@@ -334,7 +334,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -354,7 +354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "e81ad3a6-c900-456b-8c01-ea75db403d75",
    "metadata": {},
    "outputs": [],
@@ -371,7 +371,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 9,
    "id": "d47c0c4f-0326-4bd5-972f-dbef9829e628",
    "metadata": {},
    "outputs": [],
@@ -396,7 +396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 11,
    "id": "05181abf-7f89-4d7d-82ac-deef59d7e586",
    "metadata": {},
    "outputs": [],
@@ -413,18 +413,16 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "08be5a86-5ab0-497a-83e1-9ed86e612646",
+   "cell_type": "markdown",
+   "id": "6019dec5-a424-4bb7-a94c-264ded0344af",
    "metadata": {},
-   "outputs": [],
    "source": [
     "With our features separated from "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 13,
    "id": "8183aed1-150d-4fce-a58f-520b01adeb6e",
    "metadata": {},
    "outputs": [
@@ -445,22 +443,6 @@
     "plt.boxplot(feats)\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1b6278c4-c74f-4a99-a048-27c009d14e68",
-   "metadata": {},
-   "source": [
-    "Write these arrays to disk"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "b8fea094-6940-4b19-b863-015373e4a0d1",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {