CatBoost This function utilizes the CatBoost library to predict the output for the given data using a CatBoost model. 2024-12-16 12:13:26 Function 9 views
Kivy, App, BoxLayout, Label, random This code creates a Kivy application that randomly generates a color and displays it on a label. 2024-12-16 12:13:25 Kivy App 8 views
Peewee, SQLite This code defines a set of database operation functions based on Peewee, including creating a database, adding users, getting users by email, updating user emails, deleting users, listing all users, and counting users. 2024-12-16 12:13:25 The type of code 21 views
Kivy This function creates a button with specified text and color. When the button is clicked, the window background color will change to white. 2024-12-16 12:13:25 Kivy UI component 7 views
Python's built-in re module, used for regular expression matching. The function tokenizes a given text using Byte Pair Encoding (BPE) codes, decomposing each word in the text into tokens represented by the BPE codes. 2024-12-16 12:13:24 Function 10 views
Cartopy, NumPy, Matplotlib This function uses the Cartopy library to create a map and add geographical features such as coastline, borders, lakes, and rivers. It also plots a red marker at a specified longitude and latitude. 2024-12-16 12:13:24 Map drawing 11 views
PyQt5 This function creates a simple PyQt5 application with a single button labeled 'Click Me!'. It showcases the basic usage of PyQt5 widgets. 2024-12-16 12:13:24 PyQt5 GUI Application 9 views
Kivy, ColorPicker, BoxLayout, Window This function creates a simple GUI based on the Kivy library, which includes a color picker. The color picker changes its color randomly every two seconds. 2024-12-16 12:13:24 Graphical user interface 8 views
Typer, Rich This function uses the Typer and Rich libraries to generate a random message, which includes adjectives, nouns, and verbs. 2024-12-16 12:13:23 Python Function 23 views
scikit-learn This function uses the RandomForest algorithm to make predictions on a classification problem. It first splits the dataset into training and testing sets, then trains the model using the RandomForestClassifier, and finally predicts the results of the test set. 2024-12-16 12:13:23 Classification function 8 views