Variables
list	histories = []

	NSPS = np.arange(10, 30 , 10, dtype=int)

list	scores = []

int	count = 0

	Learn

	momLabels

	momData

	DataString = SpaceString(inp.momData)

	LabelString = SpaceString(inp.momLabels)

string	fname = 'Errors_'+inp.Learn+'_in_'+LabelString+'_from_SSS_in_'+DataString

	NShotsPerSample

	NShots

	Loss

	training_generator

	validation_generator

	y_val = np.array(y_val)

	X_train

	y_train

	X_val

	test_predictions

	best_val_loss_index = np.argmin(np.array(history.history['val_loss']))

	score = np.reshape(model.evaluate(validation_generator, verbose=0),(1,-1))

list	legend = []

	fig

	ax

	loc

	xlabel

	ylabel

Variable Documentation

◆ ax

Regression_Loop_NShots.ax

◆ best_val_loss_index

Regression_Loop_NShots.best_val_loss_index = np.argmin(np.array(history.history['val_loss']))

◆ count

int Regression_Loop_NShots.count = 0

◆ DataString

Regression_Loop_NShots.DataString = SpaceString(inp.momData)

◆ fig

Regression_Loop_NShots.fig

◆ fname

string Regression_Loop_NShots.fname = 'Errors_'+inp.Learn+'_in_'+LabelString+'_from_SSS_in_'+DataString

◆ histories

list Regression_Loop_NShots.histories = []

◆ LabelString

Regression_Loop_NShots.LabelString = SpaceString(inp.momLabels)

◆ Learn

Regression_Loop_NShots.Learn

◆ legend

Regression_Loop_NShots.legend = []

◆ loc

Regression_Loop_NShots.loc

◆ Loss

Regression_Loop_NShots.Loss

◆ momData

Regression_Loop_NShots.momData

◆ momLabels

Regression_Loop_NShots.momLabels

◆ NShots

Regression_Loop_NShots.NShots

◆ NShotsPerSample

Regression_Loop_NShots.NShotsPerSample

◆ NSPS

Regression_Loop_NShots.NSPS = np.arange(10, 30 , 10, dtype=int)

◆ score

Regression_Loop_NShots.score = np.reshape(model.evaluate(validation_generator, verbose=0),(1,-1))

◆ scores

Regression_Loop_NShots.scores = []

◆ test_predictions

Regression_Loop_NShots.test_predictions

◆ training_generator

Regression_Loop_NShots.training_generator

◆ validation_generator

Regression_Loop_NShots.validation_generator

◆ X_train

Regression_Loop_NShots.X_train

◆ X_val

Regression_Loop_NShots.X_val

◆ xlabel

Regression_Loop_NShots.xlabel

◆ y_train

Regression_Loop_NShots.y_train

◆ y_val

Regression_Loop_NShots.y_val = np.array(y_val)

◆ ylabel

Regression_Loop_NShots.ylabel

Variables