def CVTest(test='layers',
start=4,
finish=14,
optimizer=keras.optimizers.Adam(lr=0.001,
beta_1=0.95,
beta_2=0.999,
epsilon=1e-4)):
val_labels = Data_NoNAN.loc[:, 'Diesel':'Total']
val_data = fcn.StandardizeData(Data_NoNAN.loc[:, 'Year':'Gust']).fillna(0)
listOfErrors = ML.CrossValidation(data=val_data,
labels=val_labels,
test=test,
start=start,
finish=finish,
optimizer=optimizer)
return listOfErrors
