[FSTORE-1396] Tutorials Update: Save/load XGBoost model as json file (#…

…265) * Replace pickling xgboost models with saving them as json objects for the model registry
logicalclocks · May 18, 2024 · d67d459 · d67d459
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diff --git a/advanced_tutorials/citibike/1_citibike_feature_backfill.ipynb b/advanced_tutorials/citibike/1_citibike_feature_backfill.ipynb
diff --git a/advanced_tutorials/citibike/2_citibike_feature_pipeline.ipynb b/advanced_tutorials/citibike/2_citibike_feature_pipeline.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "74b6c01c",
+   "id": "d179fa38",
    "metadata": {},
    "source": [
     "# <span style=\"font-width:bold; font-size: 3rem; color:#1EB182;\">**Hopsworks Feature Store** </span><span style=\"font-width:bold; font-size: 3rem; color:#333;\">- Part 02: Feature Pipeline</span>\n",
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8d022a10",
+   "id": "66df50de",
    "metadata": {},
    "source": [
     "### <span style='color:#ff5f27'> 📝 Imports"
@@ -24,15 +24,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7faa949f",
+   "id": "5b87f18e",
    "metadata": {},
    "outputs": [],
    "source": [
     "from datetime import timedelta, datetime\n",
     "import pandas as pd\n",
     "import os\n",
     "\n",
-    "from features import citibike, meteorological_measurements\n",
+    "from features import (\n",
+    "    citibike, \n",
+    "    meteorological_measurements,\n",
+    ")\n",
     "\n",
     "# Mute warnings\n",
     "import warnings\n",
@@ -41,15 +44,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d3dc1ac1",
+   "id": "b33339b0",
    "metadata": {},
    "source": [
     "---"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "77939976",
+   "id": "1dfacd9f",
    "metadata": {},
    "source": [
     "## <span style=\"color:#ff5f27;\"> 📡 Connecting to Hopsworks Feature Store </span>"
@@ -58,7 +61,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "608986f1",
+   "id": "3046b3e4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -72,7 +75,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2cc9d553",
+   "id": "bd7ce002",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -90,7 +93,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bf4c2d52",
+   "id": "6c7b15a8",
    "metadata": {},
    "source": [
     "### <span style=\"color:#ff5f27;\">📅 Getting tha last date</span>\n"
@@ -99,7 +102,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6f339455",
+   "id": "ffeaec13",
    "metadata": {
     "scrolled": true
    },
@@ -113,7 +116,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "41c8bce4",
+   "id": "e800d919",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -125,7 +128,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "93633194",
+   "id": "a97c80e1",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -137,23 +140,23 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dce30ea9",
+   "id": "05fabd24",
    "metadata": {},
    "source": [
     "---"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "2bfde864",
+   "id": "fd72808f",
    "metadata": {},
    "source": [
     "## <span style=\"color:#ff5f27;\"> 🪄 Parsing new data</span>"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "d41cb2c5",
+   "id": "32c5efb2",
    "metadata": {},
    "source": [
     "### <span style=\"color:#ff5f27;\"> 🚲 Citibike usage info</span>"
@@ -162,7 +165,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2ca902e0",
+   "id": "63aa1c27",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -177,7 +180,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6efc7e2f",
+   "id": "19a46498",
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    "outputs": [],
    "source": [
@@ -190,7 +193,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "62cb7d60",
+   "id": "198d0ba4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -206,15 +209,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "aa39e68f",
+   "id": "8bf55a65",
    "metadata": {},
    "source": [
     "### <span style=\"color:#ff5f27;\"> 🌤 Meteorological measurements from VisualCrossing</span>"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "623ed453",
+   "id": "cf040fe7",
    "metadata": {},
    "source": [
     "You will parse weather data so you should get an API key from [VisualCrossing](https://www.visualcrossing.com/). You can use [this link](https://www.visualcrossing.com/weather-api).\n",
@@ -231,7 +234,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "525d223f",
+   "id": "af212086",
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@@ -245,7 +248,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "183769e6",
+   "id": "3773aa84",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -261,7 +264,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "74198dc8",
+   "id": "ce61c382",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -273,7 +276,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3b343078",
+   "id": "28655bc8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -288,15 +291,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ebdb3fa7",
+   "id": "f3426f85",
    "metadata": {},
    "source": [
     "---"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "d95d789c",
+   "id": "f5dad7d4",
    "metadata": {},
    "source": [
     "## <span style=\"color:#ff5f27;\">⬆️ Uploading new data to the Feature Store</span>"
@@ -305,7 +308,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d207b245",
+   "id": "9b144f46",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -316,7 +319,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "dfd8086a",
+   "id": "0c4a51b2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -326,15 +329,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4f39826e",
+   "id": "a4b670d1",
    "metadata": {},
    "source": [
     "---"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "139be1e7",
+   "id": "84acdbfe",
    "metadata": {},
    "source": [
     "## <span style=\"color:#ff5f27;\">⏭️ **Next:** Part 03: Training Pipeline </span>\n",
@@ -345,7 +348,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -359,7 +362,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.10.11"
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