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 35 views

TensorFlow NumPy

This code defines a function that creates a random tensor with a specified shape using TensorFlow and prints out the tensor's shape and statistical information.

The type of code 2024-12-16 12:17:55 28 views

OpenCV NumPy

This function reads an image from a specified path, converts it to a grayscale image, and then applies thresholding to get a binary image. After that, it uses OpenCV's findContours function to detect contours in the image and draws them on the original image. Finally, it displays the image with contours.

Image processing 2024-12-16 12:17:53 27 views

numpy matplotlib

This function uses numpy's histogram function to calculate the histogram of the given data and then visualizes it using matplotlib.

Function 2024-12-16 12:17:49 25 views

gensim library

This function uses gensim's Word2Vec model to generate a word vector for a given word. If the word is not in the model's vocabulary, it generates a random vector.

The type of code 2024-12-16 12:17:45 29 views

PyTorch NumPy

This code defines a random word generator function based on a Recurrent Neural Network (RNN). The function trains a model using a given corpus and then uses the model to generate a random word sequence of a specified length.

The type of code 2024-12-16 12:17:43 27 views

pandas numpy

This function selects a specified number of random columns from the input pandas DataFrame and returns a new DataFrame.

The type of code 2024-12-16 12:17:41 16 views

The code

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.

The type of code 2024-12-16 12:17:40 39 views

['Plotly' 'random'

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.

The type of code 2024-12-16 12:17:39 16 views

pandas numpy

This function generates a random DataFrame with specified number of rows and columns. The DataFrame is created using numpy's random normal distribution.

The type of code 2024-12-16 12:17:26 19 views