pandas, numpy This function selects a specified number of random columns from the input pandas DataFrame and returns a new DataFrame. 2024-12-16 12:17:41 The type of code 18 views
XGBoost This function uses an XGBoost model to predict the species of iris flowers based on given features and returns the predicted species labels. 2024-12-16 12:17:41 Prediction function 18 views
tornado, httpclient, httputil This function uses the tornado library to asynchronously fetch a random resource from a public API and prints the response body to the console. 2024-12-16 12:17:40 Function 26 views
The code uses the packages and technologies from the SHAP library, including numpy, pandas, and shap. It utilizes SHAP for explaining model predictions, and numpy and pandas for data manipulation. This code defines a function named `visualize_shap_values` that visualizes SHAP values for a given dataset and model. It first creates a SHAP explainer, then computes SHAP values, and visualizes these values using the `waterfall` method from the SHAP library. In the main function `main`, a random dataset is generated, a simple linear regression model is created, and the `visualize_shap_values` function is called to visualize the SHAP values of the model on the data. 2024-12-16 12:17:40 The type of code 46 views
FastAPI, Pydantic, Random This function uses the FastAPI framework to create a random user object containing name, last name, and age. It first checks if the first name and last name are empty, then generates a random age between 18 and 65, and finally returns a new User object. 2024-12-16 12:17:40 API Endpoints 33 views
The code uses the Altair library and related technologies. It includes Altair for data visualization, and pandas for data manipulation. This function generates a random chart using the Altair library, including types such as bar charts, line charts, etc., and randomly selects color schemes and mark types. The input parameter is a data source, which can be a pandas DataFrame or similar. 2024-12-16 12:17:40 The type of code 35 views
pyodbc This function uses the pyodbc library to connect to a SQL Server database and returns the connection object. 2024-12-16 12:17:39 Function 22 views
['Plotly', 'random', 'numpy'] This code defines a function that uses the Plotly library to randomly generate different types of charts, including scatter plots, bar charts, pie charts, heatmaps, contour plots, and surface plots. 2024-12-16 12:17:39 The type of code 18 views
FastAPI, Pydantic, SQLAlchemy This code defines a FastAPI endpoint to create a new item. It uses Pydantic for data validation and SQLAlchemy ORM for database interactions. 2024-12-16 12:17:39 FastAPI Endpoint 30 views
pymongo This function uses MongoDB's aggregation pipeline to process data in the collection. It first uses the $match stage to filter records, then uses the $group stage to group records and calculate the sum of values for each category, and finally uses the $sort stage to sort by the sum. 2024-12-16 12:17:39 The type of code 18 views
