requests random This function randomly selects a user agent from the predefined list of user agents in the requests library and returns it. Function 2024-12-16 12:18:04 78 views
Crossbar This function creates a WebSocket echo server using the Crossbar library. It takes two arguments: the class name of the WebSocket component and the arguments to be passed to the class. Websocket Echo Server 2024-12-16 12:18:04 95 views
Typer This function calculates the square of the sum of two numbers. Function 2024-12-16 12:18:03 50 views
MXNet This function accepts two arguments, arg1 and arg2, which define the dimensions of the random matrix to be generated. The function first generates a random matrix of shape (arg1, arg2), then uses MXNet's transpose function to transpose it, and finally returns the transposed matrix. Python Function 2024-12-16 12:18:03 49 views
NetworkX The function generates a random graph with a given number of nodes and average degree. If the average degree is less than 2, it returns an error message. If the average degree is 2, it generates a Petersen graph; if the average degree is 3, it generates a 2D cube graph; otherwise, it generates an ErdÅ‘s-Rényi random graph. Custom function 2024-12-16 12:18:02 50 views
gensim This function uses Word2Vec or Doc2Vec models from the gensim library to generate a sentence with random words. The user can specify the model type (dbow or doc2vec) and the number of words to generate. Text generation 2024-12-16 12:18:02 36 views
SHAP Numpy This function uses the SHAP library to visualize the SHAP values for a given model and data. It takes input features, target variable, model, and feature names as inputs and generates a visualization of the SHAP values. The type of code 2024-12-16 12:18:00 40 views
Pillow This function takes an image path and brightness and contrast factors to adjust the brightness and contrast of the image, and saves the adjusted image. Image processing 2024-12-16 12:17:59 25 views
Scikit-learn This function uses the RandomForestClassifier from Scikit-learn to fit a model on the training data, make predictions on the test data, and then calculate and return the accuracy of the predictions. Machine learning classification 2024-12-16 12:17:59 34 views
PyQt5 random The function randomly selects a color from the given list of colors and returns a QColor object. Function 2024-12-16 12:17:59 27 views