--- '[object Object]': null pipeline_tag: tabular-regression library: xgboost --- # Model Card for HIVE-XGB Use XGBoost to infer coefficients for a PCA model, based on time and parameter dependence. The inferred coefficients are then used to reconstruct a field (such as temperature). ## Model Details ### Model Description **TODO** Add longer description - **Developed by:** Josh Williams - **Funded by:** Fusion Computing Lab - **Model type:** XGBoost+PCA - **License:** {{ license | default("[More Information Needed]", true)}} ### Model Sources [optional] - **Repository:** {{ repo | default("[More Information Needed]", true)}} - **Paper [optional]:** {{ paper | default("[More Information Needed]", true)}} - **Demo [optional]:** {{ demo | default("[More Information Needed]", true)}} ## Uses ### Direct Use {{ direct_use | default("[More Information Needed]", true)}} ### Downstream Use [optional] {{ downstream_use | default("[More Information Needed]", true)}} ## Bias, Risks, and Limitations Currently the model is limited to three parameters: heat-transfer coefficient on inner pipe, current, and electrical conducitivity. ## How to Get Started with the Model Use the code below to get started with the model. {{ get_started_code | default("[More Information Needed]", true)}} ## Training Details ### Training Data ## Citation [optional] **TODO** ## Model Card Authors [optional] Josh Williams ## Model Card Contact firstname dot lastname at stfc dot ac dot uk