msb-public
/
ML-For-Beginners
mirror of https://github.com/microsoft/ML-For-Beginners.git
1
0
Code Issues Projects Releases Wiki Activity

Update notebook.ipynb

Browse Source
pull/384/head
Anirban Mukherjee 4 years ago
parent f2f16e37e3
commit 6d0ab80954
1 changed files with 43 additions and 32 deletions
Show Stats Download Patch File Download Diff File

75
7-TimeSeries/3-SVR/solution/notebook.ipynb
Unescape View File

@ -9,6 +9,17 @@
"# Time series prediction using Support Vector Regressor"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this notebook, we demonstrate how to:\n",
"\n",
"- prepare 2D time series data for training an SVM regressor model\n",
"- implement SVR using RBF kernel\n",
"- evaluate the model using plots and MAPE"
]
},
{
"cell_type": "markdown",
"metadata": {},
@ -57,7 +68,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@ -125,7 +136,7 @@
"2012-01-01 04:00:00 2403.0"
]
},
"execution_count": 3,
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
@ -146,7 +157,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@ -187,7 +198,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 4,
"metadata": {
"id": "ysvsNyONGt0Q"
},
@ -199,7 +210,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 5,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@ -249,7 +260,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 6,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -284,7 +295,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 7,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@ -352,7 +363,7 @@
"2014-11-01 04:00:00 0.059087"
]
},
"execution_count": 9,
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@ -365,7 +376,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 8,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@ -433,7 +444,7 @@
"2014-12-30 04:00:00 0.302596"
]
},
"execution_count": 10,
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@ -463,7 +474,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 9,
"metadata": {
"id": "Rpju-Sc2HFm0"
},
@ -477,7 +488,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
@ -488,7 +499,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 11,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -503,7 +514,7 @@
"(1412, 5)"
]
},
"execution_count": 14,
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@ -517,7 +528,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 12,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -532,7 +543,7 @@
"(44, 5)"
]
},
"execution_count": 16,
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@ -546,7 +557,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 13,
"metadata": {
"id": "2u0R2sIsLuq5"
},
@ -579,7 +590,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": 14,
"metadata": {
"id": "EhA403BEPEiD"
},
@ -592,7 +603,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 15,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -608,7 +619,7 @@
" kernel='rbf', max_iter=-1, shrinking=True, tol=0.001, verbose=False)"
]
},
"execution_count": 19,
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@ -630,7 +641,7 @@
},
{
"cell_type": "code",
"execution_count": 20,
"execution_count": 16,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -667,7 +678,7 @@
},
{
"cell_type": "code",
"execution_count": 21,
"execution_count": 17,
"metadata": {},
"outputs": [
{
@ -689,7 +700,7 @@
},
{
"cell_type": "code",
"execution_count": 22,
"execution_count": 18,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -717,7 +728,7 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": 19,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -745,7 +756,7 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 20,
"metadata": {},
"outputs": [
{
@ -773,7 +784,7 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 21,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -796,7 +807,7 @@
},
{
"cell_type": "code",
"execution_count": 26,
"execution_count": 22,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@ -830,7 +841,7 @@
},
{
"cell_type": "code",
"execution_count": 27,
"execution_count": 23,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -862,7 +873,7 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 24,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -899,7 +910,7 @@
},
{
"cell_type": "code",
"execution_count": 26,
"execution_count": 25,
"metadata": {
"id": "ESSAdQgwexIi"
},
@ -915,7 +926,7 @@
},
{
"cell_type": "code",
"execution_count": 27,
"execution_count": 26,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@ -949,7 +960,7 @@
},
{
"cell_type": "code",
"execution_count": 28,
"execution_count": 27,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"

Write Preview
Loading…
Cancel
Save