18148305. Method, Apparatus, and Computing Device for Constructing Prediction Model, and Storage Medium simplified abstract (Huawei Technologies Co., Ltd.)
Contents
Method, Apparatus, and Computing Device for Constructing Prediction Model, and Storage Medium
Organization Name
Inventor(s)
Qinglong Chang of Nanjing (CN)
Method, Apparatus, and Computing Device for Constructing Prediction Model, and Storage Medium - A simplified explanation of the abstract
This abstract first appeared for US patent application 18148305 titled 'Method, Apparatus, and Computing Device for Constructing Prediction Model, and Storage Medium
Simplified Explanation
The abstract describes a method, apparatus, and computing device for constructing a prediction model using artificial intelligence technologies. Here is a simplified explanation of the abstract:
- The method involves obtaining a target dataset and scenario information for a prediction scenario.
- A model search space is created based on the target dataset and scenario information.
- Model training is performed using the target dataset and models with different hyperparameters from the model search space.
- Trained prediction models are obtained based on the evaluation results.
- This method improves the efficiency of constructing prediction models.
Potential Applications
This technology can be applied in various fields where prediction models are needed, such as:
- Financial forecasting: Predicting stock prices, market trends, or investment opportunities.
- Healthcare: Predicting disease outcomes, patient prognosis, or treatment effectiveness.
- Marketing: Predicting customer behavior, market demand, or campaign success.
- Weather forecasting: Predicting weather patterns, temperature changes, or natural disasters.
Problems Solved
This technology addresses the following problems:
- Time-consuming model construction: The method improves the efficiency of constructing prediction models, reducing the time required.
- Manual hyperparameter tuning: The model search space allows for automatic exploration of different models and hyperparameters, eliminating the need for manual tuning.
- Inefficient prediction scenario matching: The method ensures that the prediction model corresponds to the target prediction scenario, improving accuracy and relevance.
Benefits
The use of this technology offers several benefits:
- Improved efficiency: The method streamlines the process of constructing prediction models, saving time and resources.
- Enhanced accuracy: By automatically exploring different models and hyperparameters, the method increases the chances of finding the most accurate prediction model.
- Customization: The model search space allows for tailoring the prediction model to specific prediction scenarios, resulting in more relevant and reliable predictions.
Original Abstract Submitted
A method, an apparatus, and a computing device for constructing a prediction model, and a storage medium are disclosed, and relate to the field of artificial intelligence technologies. The method includes: obtaining, based on a target dataset of a target prediction scenario and/or scenario information of the target prediction scenario, model search space corresponding to the target prediction scenario; performing model training based on the target dataset and models and hyperparameters that are included in the model search space, to obtain trained prediction models; and obtaining, based on evaluation results of the trained prediction models, a prediction model corresponding to the target prediction scenario. Efficiency of constructing the prediction model can be improved.
