Variables
	NSPS = np.arange(10, 101, 10, dtype=int)

list	scores = []

	Learn

	momLabels

	momData

	NDatasets

	DataString = SpaceString(inp.momData)

	LabelString = SpaceString(inp.momLabels)

string	fname = 'Errors_'+inp.Learn+'_in_'+LabelString+'_from_SSS_in_'+DataString+'_from_formula_'+str(inp.NDatasets)+'_datasets'

	NShotsPerSample

	NShots

	training_generator

	validation_generator

	X_train

	y_train

	X_val

	y_val = np.array(y_val)

	x_data = np.reshape(np.concatenate((np.array(X_train),np.array(X_val))),(inp.NDatasets,256,i))

	y_data = np.reshape(np.concatenate((np.array(y_train),np.array(y_val))),(inp.NDatasets,256*256))

list	thiserr = []

list	rho2 = []

float	local_err = y_data[j,:]/83.0-np.reshape(rho2,inp.Npoints*inp.Npoints)

list	rho = []

list	legend = []

	fig

	ax

	yerr

	fmt

	ecolor

	loc

	xlabel

	ylabel

Variable Documentation

◆ ax

Error_from_formula.ax

◆ DataString

Error_from_formula.DataString = SpaceString(inp.momData)

◆ ecolor

Error_from_formula.ecolor

◆ fig

Error_from_formula.fig

◆ fmt

Error_from_formula.fmt

◆ fname

string Error_from_formula.fname = 'Errors_'+inp.Learn+'_in_'+LabelString+'_from_SSS_in_'+DataString+'_from_formula_'+str(inp.NDatasets)+'_datasets'

◆ LabelString

Error_from_formula.LabelString = SpaceString(inp.momLabels)

◆ Learn

Error_from_formula.Learn

◆ legend

Error_from_formula.legend = []

◆ loc

Error_from_formula.loc

◆ local_err

Error_from_formula.local_err = y_data[j,:]/83.0-np.reshape(rho2,inp.Npoints*inp.Npoints)

◆ momData

Error_from_formula.momData

◆ momLabels

Error_from_formula.momLabels

◆ NDatasets

Error_from_formula.NDatasets

◆ NShots

Error_from_formula.NShots

◆ NShotsPerSample

Error_from_formula.NShotsPerSample

◆ NSPS

Error_from_formula.NSPS = np.arange(10, 101, 10, dtype=int)

◆ rho

Error_from_formula.rho = []

◆ rho2

Error_from_formula.rho2 = []

◆ scores

Error_from_formula.scores = []

◆ thiserr

list Error_from_formula.thiserr = []

◆ training_generator

Error_from_formula.training_generator

◆ validation_generator

Error_from_formula.validation_generator

◆ x_data

Error_from_formula.x_data = np.reshape(np.concatenate((np.array(X_train),np.array(X_val))),(inp.NDatasets,256,i))

◆ X_train

Error_from_formula.X_train

◆ X_val

Error_from_formula.X_val

◆ xlabel

Error_from_formula.xlabel

◆ y_data

Error_from_formula.y_data = np.reshape(np.concatenate((np.array(y_train),np.array(y_val))),(inp.NDatasets,256*256))

◆ y_train

Error_from_formula.y_train

◆ y_val

Error_from_formula.y_val = np.array(y_val)

◆ yerr

Error_from_formula.yerr

◆ ylabel

Error_from_formula.ylabel

Variables