Time Series Prediction with LightGBM: Feature Engineering and Model Training
Data Exploration with Visualization
Understanding the dataset structure is crucial before building any model. The training data contains house identifiers, daily timestamps, house types, and the target variable representing electricity consumption.
import numpy as np
import pandas as pd
import lightgbm as lgb
import matplotlib.pyplot as plt
fro ...
Posted on Fri, 08 May 2026 17:39:22 +0000 by ejwf
Regression Algorithms: A Practical Guide to XGBoost, LightGBM, SVR, and Random Forest
LightGBM Parameters
Official documentation:
English: https://lightgbm.readthedocs.io/en/latest/pythonapi/lightgbm.LGBMRegressor.html#lightgbm.LGBMRegressor
Chinese: https://lightgbm.cn/docs/6/
The LGBMRegressor constructor accepts the following parameters:
lightgbm.LGBMRegressor(boosting_type='gbdt', num_leaves=31, max_depth=-1, learn ...
Posted on Thu, 07 May 2026 13:14:56 +0000 by big-dog1965