{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Full Model Training" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Welcome to the notebook that will guide you in using MLflow to register and track the training of a logistic regression model with the Titanic dataset. In this tutorial, we will explore how MLflow, an open-source platform for the machine learning lifecycle, can facilitate experiment tracking, metric monitoring, and model management in a reproducible environment.\n", "\n", "The Titanic dataset is a classic in the data science community, containing detailed information about passengers, such as their age, gender, ticket class, and whether they survived the disaster. We will use this information to build a logistic regression model capable of predicting the survival probability of a passenger based on their features.\n", "\n", "Throughout this notebook, we will not only focus on training the logistic regression model but also learn how to leverage the capabilities of MLflow. We will start by exploring the Titanic dataset, performing analysis and visualizations to better understand the distribution of variables and patterns present.\n", "\n", "Next, we will move on to the data preprocessing stage, where we will clean and transform the data to make it suitable for modeling. During this process, we will use MLflow to log the preprocessing steps, allowing us to have a complete and organized record of the transformations applied to the data.\n", "\n", "Then, we will dive into training the logistic regression using the training dataset. Here, MLflow will play a crucial role in logging training details, including the hyperparameters used, performance metrics, and other relevant aspects of the model. This will enable us to have a comprehensive overview of the process and facilitate comparison between different experiments and configurations.\n", "\n", "Once we have trained our model, we will use MLflow to register the model on the platform. This will allow us to have a complete record of the trained models, including the details of each model, such as the hyperparameters used, performance metrics, and associated source code. Additionally, MLflow will enable us to export the model in a standard format, making it easier to deploy in different environments.\n", "\n", "In summary, this notebook will provide you with the opportunity to work with MLflow and discover how this powerful tool can simplify and enhance the training process of a logistic regression model. Throughout the tutorial, you will learn to log experiments, metrics, and model details, allowing you to have a comprehensive and reproducible tracking of the entire process. So get ready to delve into Titanic data analysis while exploring the capabilities of MLflow in logistic regression training!" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from datetime import datetime\n", "\n", "from sklearn.preprocessing import LabelEncoder \n", "from sklearn.model_selection import train_test_split\n", "from sklearn.linear_model import LogisticRegression\n", "import seaborn as sns\n", "import pandas as pd\n", "import mlflow\n", "\n", "from mlops_course.settings import config" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Get the Data\n", "\n", "We will load the dataset from a CSV file and display the first few rows to get an understanding of the data." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Read the data" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
\n", "
" ], "text/plain": [ " PassengerId Survived Pclass \\\n", "0 1 0 3 \n", "1 2 1 1 \n", "2 3 1 3 \n", "3 4 1 1 \n", "4 5 0 3 \n", "\n", " Name Sex Age SibSp \\\n", "0 Braund, Mr. Owen Harris male 22.0 1 \n", "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", "2 Heikkinen, Miss. Laina female 26.0 0 \n", "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", "4 Allen, Mr. William Henry male 35.0 0 \n", "\n", " Parch Ticket Fare Cabin Embarked \n", "0 0 A/5 21171 7.2500 NaN S \n", "1 0 PC 17599 71.2833 C85 C \n", "2 0 STON/O2. 3101282 7.9250 NaN S \n", "3 0 113803 53.1000 C123 S \n", "4 0 373450 8.0500 NaN S " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "DATASET_URL = \"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\"\n", "\n", "\n", "# Load dataset\n", "dataframe = pd.read_csv(DATASET_URL)\n", "dataframe.head()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Clean the Data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "PassengerId 0\n", "Survived 0\n", "Pclass 0\n", "Name 0\n", "Sex 0\n", "Age 177\n", "SibSp 0\n", "Parch 0\n", "Ticket 0\n", "Fare 0\n", "Cabin 687\n", "Embarked 2\n", "dtype: int64" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataframe.isnull().sum()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "We see that there are missing values in the 'Age', 'Cabin', and 'Embarked' columns. We'll fill the missing values in the 'Age' column with the median age.\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Fill age missing values\n", "median_age = dataframe['Age'].median()\n", "dataframe['Age'].fillna(median_age, inplace=True)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Sex is a categorical variable composed by \"male\" and \"female\" string values. In order to train our model we need to convert them to numerical values: male=1, female=0" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# convert string labels to numbers: male=1, female=0\n", "le = LabelEncoder()\n", "dataframe[\"Sex\"] = le.fit_transform(dataframe[\"Sex\"])" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Visualize the data" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.pairplot(dataframe[[\"Age\", \"Sex\", \"Fare\", \"Survived\"]], hue=\"Survived\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Split the data" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "RANDOM_SEED = 42 # Set a random seed for reproducibility\n", "TEST_SIZE = 0.2 # Use 20% of the data for testing\n", "\n", "# Prepare the dataset for training\n", "features = ['Sex', 'Age', 'Fare']\n", "X = dataframe[features]\n", "Y = dataframe['Survived']\n", "\n", "# Split the dataset into training and testing sets\n", "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=TEST_SIZE, random_state=RANDOM_SEED)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Train the Model\n", "\n", "We'll train the model and we will use MLflow to log that model: logging a model means saving the model to a file or a database so that it can be used later for inference." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Connect to the MLflow server" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✅ Successfully connected to the MLflow server\n" ] } ], "source": [ "# Set the URI where the MLflow server is running\n", "mlflow.set_tracking_uri(uri=config.MLFLOW_TRACKING_URI)\n", "print(\"✅ Successfully connected to the MLflow server\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Create the experiment" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✅ Experiment 'Titanic Linear Regression' already exists!\n" ] } ], "source": [ "EXPERIMENT_NAME = \"Titanic Linear Regression\" # change this to your experiment name\n", "\n", "\n", "# Create an experiment if it doesn't exist\n", "try:\n", " experiment_id = mlflow.create_experiment(EXPERIMENT_NAME)\n", " print(f\"✅ Created '{EXPERIMENT_NAME}'!\")\n", "except mlflow.exceptions.RestException:\n", " experiment_id = mlflow.get_experiment_by_name(EXPERIMENT_NAME).experiment_id\n", " print(f\"✅ Experiment '{EXPERIMENT_NAME}' already exists!\")\n", "\n", "experiment = mlflow.get_experiment(experiment_id)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Train the model and log it to MLflow" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Run ID: f14b6da63a47497eb837518537dfcdb2\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.9/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils.\n", " warnings.warn(\"Setuptools is replacing distutils.\")\n" ] } ], "source": [ "run_name = datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\")\n", "\n", "with mlflow.start_run(\n", " experiment_id=experiment_id,\n", " run_name=run_name,\n", ") as run:\n", " \n", " # Train the logistic regression model\n", " model = LogisticRegression(random_state=RANDOM_SEED)\n", " model.fit(X_train.values, y_train)\n", "\n", " # Log the model itself to MLflow\n", " mlflow.sklearn.log_model(model, \"model\")\n", "\n", " # Print the run ID\n", " print(f\"Run ID: {run.info.run_id}\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.16" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }