UNIQORN -- The Universal Neural-network Interface for Quantum Observable Readout from N-body wavefunctions
Regression_Loop_NShots.py File Reference

Namespaces

 Regression_Loop_NShots
 

Variables

list Regression_Loop_NShots.histories = []
 
 Regression_Loop_NShots.NSPS = np.arange(10, 30 , 10, dtype=int)
 
list Regression_Loop_NShots.scores = []
 
int Regression_Loop_NShots.count = 0
 
 Regression_Loop_NShots.Learn
 
 Regression_Loop_NShots.momLabels
 
 Regression_Loop_NShots.momData
 
 Regression_Loop_NShots.DataString = SpaceString(inp.momData)
 
 Regression_Loop_NShots.LabelString = SpaceString(inp.momLabels)
 
string Regression_Loop_NShots.fname = 'Errors_'+inp.Learn+'_in_'+LabelString+'_from_SSS_in_'+DataString
 
 Regression_Loop_NShots.NShotsPerSample
 
 Regression_Loop_NShots.NShots
 
 Regression_Loop_NShots.Loss
 
 Regression_Loop_NShots.training_generator
 
 Regression_Loop_NShots.validation_generator
 
 Regression_Loop_NShots.y_val = np.array(y_val)
 
 Regression_Loop_NShots.X_train
 
 Regression_Loop_NShots.y_train
 
 Regression_Loop_NShots.X_val
 
 Regression_Loop_NShots.test_predictions
 
 Regression_Loop_NShots.best_val_loss_index = np.argmin(np.array(history.history['val_loss']))
 
 Regression_Loop_NShots.score = np.reshape(model.evaluate(validation_generator, verbose=0),(1,-1))
 
list Regression_Loop_NShots.legend = []
 
 Regression_Loop_NShots.fig
 
 Regression_Loop_NShots.ax
 
 Regression_Loop_NShots.loc
 
 Regression_Loop_NShots.xlabel
 
 Regression_Loop_NShots.ylabel