XGBoost, NumPy This function uses the XGBoost library to train a model and returns the feature importances. 2024-12-16 12:08:46 Function 4 views
The code uses the Bokeh library and other Python packages such as NumPy and matplotlib for plotting. This code defines a function that creates a scatter plot using the Bokeh library, and adds hover and box select tools. The input data is two arrays representing the x and y values. 2024-12-16 12:08:46 The type of code 3 views
gensim, numpy This function uses gensim's LDA model to perform topic modeling on a list of texts, returning a list of the most common words for each topic. 2024-12-16 12:08:46 Text analysis 4 views
requests, random This code block contains four functions, each for getting a random user agent, fetching content from a random URL, getting a random image URL, and fetching random image content. 2024-12-16 12:08:45 The type of code 3 views
The packages and technologies used in this code include seaborn, numpy, matplotlib, and pandas. This function uses the seaborn library to randomly generate different types of charts, including bar plots, box plots, line plots, and scatter plots. It first generates a random dataset and then draws a chart based on the randomly selected chart type. 2024-12-16 12:08:45 The type of code 3 views
MXNet, NumPy This function uses MXNet's matrix multiplication feature, takes two arguments representing the dimensions of the matrix, then generates two random matrices for multiplication, and finally returns the product as a numpy array. 2024-12-16 12:08:44 The type of code 29 views
Freezegun This function uses the freeze_time method from the Freezegun library to freeze time, allowing code within the block to be executed at a specific date. 2024-12-16 12:08:44 Function 6 views
The code uses Panda3D's geometry, materials, color, and scene management features. The code creates a randomly colored cube and adds it to the Panda3D scene. It uses Panda3D's geometry, materials, color, and scene management features. 2024-12-16 12:08:44 The type of code 4 views
The code uses the unittest library and technology stack. It defines a function called generate_random_test_case that randomly selects a test function from the unittest library and returns a custom test function. The custom test function accepts two arguments and performs a test using the randomly selected test function. The code defines a function called generate_random_test_case, which randomly selects a test function from the unittest library and returns a custom test function. The custom test function accepts two arguments and performs a test using the randomly selected test function. 2024-12-16 12:08:43 The type of code 4 views
SHAP, NumPy, Pandas, scikit-learn This function first generates a synthetic dataset, then trains a random forest classifier. Next, it creates a SHAP explainer using the SHAP library, computes SHAP values for the first instance, and finally generates a SHAP summary plot to visualize these values. 2024-12-16 12:08:43 SHAP Explainer and Summary Plot 5 views