[LEADERG AI ZOO] Jupyter-Data-Gradient-Boosting-Regression

Language:

繁體中文

 

 

 

 

[Introduction]

 

 

Use Gradient Boosting to predict housing prices.

 

 

 

[Instructions]

 

 

1. 1_train.ipynb

Set the parameters:

• train_input_filename: input data file path

• model_filename: the path of the output prediction file

• scaler_filename: output normalized file path

• train_output_filename: the path of the output prediction file

• numEstimator: the number of Estimators

 

 

After the setting is completed, it can be executed.

 

 

2. 2_inference.ipynb

Set the parameters:

• inference_input_filename: input data file path

• model_filename: input model file path

• scaler_filename: input normalized file path

• inference_output_filename: the path of the output prediction file

 

 

After the setting is completed, it can be executed.

After execution, you can see the result of Gradient Boosting inference.

 

 

Jupyter-Data-Gradient-Boosting-Regression-inference.png


Recommended Article

1.
LEADERG APP - Starter AI Software (No Code, APP User Interface)

2.
LEADERG AI ZOO - Advanced AI Software (Low Code, Jupyter Lab User Interface)

3.
LEADERG AI Computer ( Deep Learning, PC, workstation, server, NVIDIA GPU, TESLA A100, RTX-3090-24G, Intel VPU, GPU Server

4.
LEADERG AI Education

How to Buy

Welcome to contact us for quotation. We will help you buy right products.
Email: leaderg@leaderg.com

Thanks for our customers

Taiwan University, Tsing Hua University, Yang Ming Chiao Tung University, Cheng Kung University, Taipei Medical University, Taipei University of Nursing and Health Sciences, National Chung Hsing University, Chi Nan University, Ilan University, United University, Defence University, Naval Academy, Feng Chia University, Chang Gung University, I-Shou University, Shih Chien University, Taiwan University of Science and Technology, Taichung University of Science and Technology, Yunlin University of Science and Technology, Chin-Yi University of Science, Formosa University, Pintung University of Science and Technology, Kaohsiung University of Science and Technology, Chaoyang University of Technology, Ming Chi University of Technology, Southern Taiwan University of Science and Technology, Taipei Veterans General Hospital, Chang Gung Medical Foundation, Tzu Chi Medical Foundation, E-Da Hospital, Chung-Shan Institute of Science and Technology, Armaments Bureau, Ministry of Justice Investigation Bureau, Institute of Nuclear Energy Research, Endemic Species Research Institute, Institute of Labor, Occupational Safety And Health, Metal Industries Research & Development Centre, Taiwan Instrument Research Institute, Automotive Research & Testing Center, Taiwan Water Corporation, Taiwan Semiconductor Manufacturing Co., Ltd., United Microelectronics Corp., Nanya Technology, Winbond Electronics Corp., Xintec Inc., Arima Lasers Corporation, AU Optronics Corporation, Innolux Corporation, HannStar Display Corporation, Formosa Plastics Group., Formosa Technologies Corporation, Nan Ya Plastics Corp., Formosa Chemicals & Fibre Corporation, Chinese Petroleum Corporation, Logitech, ELAN Microelectronics Corp., Lextar Electronics Corporation, Darfon Electronics Corp., WPG Holdings, Mirle Automation Corporation, Symtek Automation Asia Co., Ltd, ChipMOS Technologies Inc., Dynapack International Technology Corporation, Primax Electronics Ltd., Grade Upon Technology Corp., AAEON Technology Inc., Stark Technology, Inc., Horng Terng Automation Co., Ltd., Zhen Ding Technology Holding Ltd, Boardtek Electronics Corporation, MiTAC International Corporation, Allion Labs, Inc., Sound Land Corp., Hong Hu Tech, etc.