logicalclocks · marcopellegrinoit · Feb 2, 2024
diff --git a/advanced_tutorials/air_quality/1_air_quality_feature_backfill.ipynb b/advanced_tutorials/air_quality/1_air_quality_feature_backfill.ipynb
@@ -27,17 +27,6 @@
     "### <span style='color:#ff5f27'> 📝 Imports"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a03d0127",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install -U hopsworks --quiet\n",
-    "!pip install geopy folium streamlit-folium --q"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -660,7 +649,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

diff --git a/advanced_tutorials/air_quality/3_air_quality_training_pipeline.ipynb b/advanced_tutorials/air_quality/3_air_quality_training_pipeline.ipynb
@@ -29,16 +29,6 @@
     "### <span style='color:#ff5f27'> 📝 Imports"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ad609eec-0b46-445f-a0f5-5657e5f69866",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install xgboost --q"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -569,7 +559,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.10.13"
   },
   "vscode": {
    "interpreter": {

diff --git a/advanced_tutorials/air_quality/requirements.txt b/advanced_tutorials/air_quality/requirements.txt
@@ -4,4 +4,12 @@ pandas
 numpy
 streamlit
 streamlit-folium
-joblib
+joblib
+requests
+json
+folium
+matplotlib
+seaborn
+xgboost
+scikit-learn
+hsml
diff --git a/advanced_tutorials/bitcoin/1_bitcoin_feature_backfill.ipynb b/advanced_tutorials/bitcoin/1_bitcoin_feature_backfill.ipynb
@@ -7,8 +7,6 @@
    "source": [
     "# <span style=\"font-width:bold; font-size: 3rem; color:#1EB182;\"><img src=\"../../images/icon102.png\" width=\"38px\"></img> **Hopsworks Feature Store** </span><span style=\"font-width:bold; font-size: 3rem; color:#333;\">- Part 01: Feature Backfill</span>\n",
     "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/logicalclocks/hopsworks-tutorials/blob/master/advanced_tutorials/bitcoin/1_bitcoin_feature_backfill.ipynb)\n",
-    "\n",
     "## 🗒️ This notebook is divided into the following sections:\n",
     "1. Fetch historical data.\n",
     "2. Connect to the Hopsworks feature store.\n",
@@ -40,14 +38,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install -U hopsworks --quiet\n",
-    "\n",
-    "!pip install -U unicorn-binance-rest-api --quiet\n",
-    "!pip install -U python-dotenv --quiet\n",
-    "!pip install -U textblob --quiet\n",
-    "!pip install -U vaderSentiment --quiet\n",
-    "!pip install -U tweepy --quiet\n",
-    "\n",
     "# Hosted notebook environments may not have the local features package\n",
     "import os\n",
     "\n",
@@ -395,9 +385,7 @@
    "source": [
     "## <span style=\"color:#ff5f27;\">⏭️ **Next:** Part 02: Feature Pipeline</span>\n",
     "\n",
-    "In the next notebook you will be parsing new monthly data for the Feature Groups.\n",
-    "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/logicalclocks/hopsworks-tutorials/blob/master/advanced_tutorials/bitcoin/2_bitcoin_feature_pipeline.ipynb)"
+    "In the next notebook you will be parsing new monthly data for the Feature Groups."
    ]
   }
  ],
@@ -417,7 +405,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

diff --git a/advanced_tutorials/bitcoin/2_bitcoin_feature_pipeline.ipynb b/advanced_tutorials/bitcoin/2_bitcoin_feature_pipeline.ipynb
@@ -7,9 +7,6 @@
    "source": [
     "# <span style=\"font-width:bold; font-size: 3rem; color:#1EB182;\"><img src=\"../../images/icon102.png\" width=\"38px\"></img> **Hopsworks Feature Store** </span><span style=\"font-width:bold; font-size: 3rem; color:#333;\">- Part 02: Feature Pipeline</span>\n",
     "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/logicalclocks/hopsworks-tutorials/blob/master/advanced_tutorials/bitcoin/2_bitcoin_feature_pipeline.ipynb)\n",
-    "\n",
-    "\n",
     "## 🗒️ This notebook is divided into the following sections:\n",
     "1. Parsing Data.\n",
     "2. Feature Group Insertion."
@@ -30,14 +27,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install -U hopsworks --quiet\n",
-    "\n",
-    "!pip install -U unicorn-binance-rest-api --quiet\n",
-    "!pip install -U python-dotenv --quiet\n",
-    "!pip install -U textblob --quiet\n",
-    "!pip install -U vaderSentiment --quiet\n",
-    "!pip install -U tweepy --quiet\n",
-    "\n",
     "# Hosted notebook environments may not have the local features package\n",
     "import os\n",
     "\n",
@@ -514,9 +503,7 @@
    "source": [
     "## <span style=\"color:#ff5f27;\">⏭️ **Next:** Part 03: Training Pipeline </span>\n",
     "\n",
-    "In the next notebook you will create a feature view, training dataset, train a model and register it in Hopsworks Model Registry.\n",
-    "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/logicalclocks/hopsworks-tutorials/blob/master/advanced_tutorials/bitcoin/3_bitcoin_training_pipeline.ipynb)"
+    "In the next notebook you will create a feature view, training dataset, train a model and register it in Hopsworks Model Registry."
    ]
   }
  ],
@@ -536,7 +523,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

diff --git a/advanced_tutorials/bitcoin/3_bitcoin_training_pipeline.ipynb b/advanced_tutorials/bitcoin/3_bitcoin_training_pipeline.ipynb
@@ -7,8 +7,6 @@
    "source": [
     "# <span style=\"font-width:bold; font-size: 3rem; color:#1EB182;\"><img src=\"../../images/icon102.png\" width=\"38px\"></img> **Hopsworks Feature Store** </span><span style=\"font-width:bold; font-size: 3rem; color:#333;\">- Part 03: Training Pipeline</span>\n",
     "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/logicalclocks/hopsworks-tutorials/blob/master/advanced_tutorials/bitcoin/3_bitcoin_training_pipeline.ipynb)\n",
-    "\n",
     "<span style=\"font-width:bold; font-size: 1.4rem;\">This is the third part of advanced tutorials about Hopsworks Feature Store. This notebook explains how to read from a feature group, create training dataset within the feature store, train a model, register it in Hopsworks Model Registry and then use for batch predictions.</span>\n",
     "\n",
     "## 🗒️ This notebook is divided into the following sections: \n",
@@ -32,16 +30,6 @@
     "### <span style=\"color:#ff5f27;\"> 📝 Imports</span>"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0864725e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install -U hopsworks --quiet"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -974,9 +962,7 @@
     "---\n",
     "## <span style=\"color:#ff5f27;\"> ⏭️ **Next:** Part 04: Batch Inference</span>\n",
     "\n",
-    "In the following notebook you will use your model for Batch Inference.\n",
-    "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/logicalclocks/hopsworks-tutorials/blob/master/bitcoin/4_bitcoin_batch_inference.ipynb)"
+    "In the following notebook you will use your model for Batch Inference."
    ]
   }
  ],
@@ -996,7 +982,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.10.13"
   },
   "vscode": {
    "interpreter": {

diff --git a/advanced_tutorials/bitcoin/4_bitcoin_batch_inference.ipynb b/advanced_tutorials/bitcoin/4_bitcoin_batch_inference.ipynb
@@ -7,8 +7,6 @@
    "source": [
     "# <span style=\"font-width:bold; font-size: 3rem; color:#1EB182;\"><img src=\"../images/icon102.png\" width=\"38px\"></img> **Hopsworks Feature Store** </span><span style=\"font-width:bold; font-size: 3rem; color:#333;\">- Part 04: Batch Inference</span>\n",
     "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/logicalclocks/hopsworks-tutorials/blob/master/bitcoin/4_bitcoin_batch_inference.ipynb)\n",
-    "\n",
     "## 🗒️ This notebook is divided into the following sections:\n",
     "\n",
     "1. Use the deployment to make a prediciton.\n",
@@ -314,7 +312,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

diff --git a/advanced_tutorials/bitcoin/requirements.txt b/advanced_tutorials/bitcoin/requirements.txt
@@ -0,0 +1,6 @@
+hopsworks
+pandas
+tensorflow
+numpy
+matplotlib
+joblib
diff --git a/advanced_tutorials/citibike/1_citibike_feature_backfill.ipynb b/advanced_tutorials/citibike/1_citibike_feature_backfill.ipynb
@@ -31,17 +31,6 @@
     "### <span style='color:#ff5f27'> 📝 Imports"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "990e400c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install -U hopsworks --quiet\n",
-    "!pip install python-dotenv"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -643,7 +632,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

diff --git a/advanced_tutorials/citibike/requirements.txt b/advanced_tutorials/citibike/requirements.txt
@@ -0,0 +1,11 @@
+hopsworks
+python-dotenv
+pandas
+plotly
+joblib
+numpy
+matplotlib
+seaborn
+scikit-learn
+xgboost
+hsml
diff --git a/advanced_tutorials/credit_scores/1_credit_scores_feature_backfill.ipynb b/advanced_tutorials/credit_scores/1_credit_scores_feature_backfill.ipynb
@@ -26,16 +26,6 @@
     "## <span style='color:#ff5f27'> 📝 Imports"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c2fb6ff7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install -U hopsworks --quiet"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -908,7 +898,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

diff --git a/advanced_tutorials/credit_scores/3_credit_scores_training_pipeline.ipynb b/advanced_tutorials/credit_scores/3_credit_scores_training_pipeline.ipynb
@@ -30,16 +30,6 @@
     "## <span style='color:#ff5f27'> 📝 Imports"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1b129ae2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install xgboost --quiet"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -619,7 +609,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

diff --git a/advanced_tutorials/credit_scores/requirements.txt b/advanced_tutorials/credit_scores/requirements.txt
@@ -0,0 +1,9 @@
+hopsworks
+pandas
+numpy
+matplotlib
+seaborn
+xgboost
+joblib
+PIL
+scikit-learn
diff --git a/advanced_tutorials/electricity/1_electricity_feature_backfill.ipynb b/advanced_tutorials/electricity/1_electricity_feature_backfill.ipynb
@@ -31,16 +31,6 @@
     "### <span style='color:#ff5f27'> 📝 Imports"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "14700922",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install -U hopsworks --quiet"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -382,7 +372,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

diff --git a/advanced_tutorials/electricity/2_electricity_feature_pipeline.ipynb b/advanced_tutorials/electricity/2_electricity_feature_pipeline.ipynb
@@ -226,7 +226,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

diff --git a/advanced_tutorials/electricity/3_electricity_training_pipeline.ipynb b/advanced_tutorials/electricity/3_electricity_training_pipeline.ipynb
@@ -19,19 +19,6 @@
     "![02_training-dataset](../../images/02_training-dataset.png)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9aa6a645-fe38-4ed5-b5e6-f59f47b2a223",
-   "metadata": {
-    "scrolled": true,
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "!pip install tensorflow --quiet"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -956,7 +943,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,