Data analysis and statistical calculations: The opencpu framework can be used for conducting data analysis and statistical calculations. Users can upload data for analysis, obtain statistical results, and present them visually.
Model deployment and prediction: The opencpu framework can be used to deploy machine learning models, allowing users to make predictions by calling the model through an API, such as for text classification or image recognition.
Scientific computing and numerical simulation: The opencpu framework can be used for scientific computing and numerical simulation, allowing users to upload simulation data for calculation, obtain simulation results, and visualize them.
OpenCPU framework can be used to develop web applications where users can write backend logic code in R language and interact through the APIs provided by OpenCPU.
Education and Training: The opencpu framework can be utilized in the field of education and training, allowing teachers and students to conduct data analysis and model experiments using opencpu, thus enhancing learning efficiency and quality.
