API#
- Alchemy
- Analysis
gdml_mat52gdml_mat52_wrkRDFProblematicStructuresProblematicStructuresProblematicStructures.course_n_cl_eProblematicStructures.course_n_cl_rProblematicStructures.find()ProblematicStructures.get_pd()ProblematicStructures.kwargs_subplotProblematicStructures.loss_funcProblematicStructures.loss_func_kwargsProblematicStructures.n_cl_samples()ProblematicStructures.plot_annotate_cl_idxProblematicStructures.plot_cl_losses()ProblematicStructures.plot_lolli_colorProblematicStructures.prob_cl_indices()ProblematicStructures.refine_min_r_ratioProblematicStructures.refine_n_clProblematicStructures.select_prob_indices()
- Data sets
DataSetDataSet.EDataSet.E_maxDataSet.E_meanDataSet.E_minDataSet.E_varDataSet.FDataSet.F_maxDataSet.F_meanDataSet.F_minDataSet.F_varDataSet.asdict()DataSet.comp_idsDataSet.convertE()DataSet.convertF()DataSet.convertR()DataSet.e_unitDataSet.entity_idsDataSet.load()DataSet.mbDataSet.mb_dsets_md5DataSet.mb_models_md5DataSet.md5DataSet.nameDataSet.print()DataSet.r_prov_idsDataSet.r_prov_specsDataSet.theoryDataSet.write_xyz()
- Descriptors
- GDML
- Interfaces
- Logger
- Losses
- MBE
- Models
- Prediction Sets
- Periodic
- Predictors
- Stress
- Structure generation
- Switching functions
- Training
mbGDMLTrainmbGDMLTrainmbGDMLTrain.active_train()mbGDMLTrain.bayes_opt()mbGDMLTrain.bayes_opt_n_check_risingmbGDMLTrain.bayes_opt_paramsmbGDMLTrain.bayes_opt_params_finalmbGDMLTrain.check_energy_predmbGDMLTrain.create_task()mbGDMLTrain.grid_search()mbGDMLTrain.keep_tasksmbGDMLTrain.loss_funcmbGDMLTrain.loss_kwargsmbGDMLTrain.min_memory_analytic()mbGDMLTrain.plot_bayes_opt_gp()mbGDMLTrain.require_E_evalmbGDMLTrain.save_idxs()mbGDMLTrain.save_valid_csv()mbGDMLTrain.sigma_boundsmbGDMLTrain.sigma_gridmbGDMLTrain.test_model()mbGDMLTrain.train_model()
- Utilities