Input.py File Reference

Namespaces
	Input

Variables
string	Input.Training_Data = 'SSS'
	TRAINING DATA & DATA SET STRUCTURE #########. More...
string	Input.DirName = '/home/axel/4TB/uniqorn_data/rand_DW'
int	Input.NDatasets = 400
	DATA SET STRUCTURE FOR SINGLE SHOTS: ###. More...
int	Input.Npoints = 256
int	Input.NShots = 400
int	Input.NShotsPerSample = 100
float	Input.TrainFraction = 0.75
bool	Input.NormalizeData = False
bool	Input.momData = False
bool	Input.Plot = False
bool	Input.AxisFlipping = False
bool	Input.DataThreshold = False
bool	Input.DataThresholdTest = False
float	Input.DataThresholdLow = 0.03
float	Input.DataThresholdHigh = 0.3
bool	Input.MultiSSSOrder = True
int	Input.MultiSSS_NOrder = 3
bool	Input.batch_loading = False
	BATCHING & EPOCHS #########. More...
int	Input.batch_size = 10
int	Input.epochs = 200
bool	Input.Randomize = False
bool	Input.Shuffle = True
string	Input.Loss = 'mse'
string	Input.Job_Type = 'SUPERV_REGR'
	MACHINE LEARNING TASKS #########. More...
string	Input.Learn = 'DENS'
int	Input.Dimensionality = 1
int	Input.NViz = 20
bool	Input.Visualization_Save = True
bool	Input.TrainingFlag = True
bool	Input.Visualization_Accuracies = True
bool	Input.Visualization_Losses = True
bool	Input.Visualization_Errors = True
bool	Input.Visualization_ErrorHistograms = True
bool	Input.VisualizationFlag = True
string	Input.Model = 'custom'
string	Input.Model_Name = 'Seq128Dropout'
bool	Input.ConvNet = False
list	Input.callbacks = ['reduce_lr','earlystopping']
list	Input.layers = [512,256,128,64]
list	Input.regularizations = [0.0,0.3,0.1,0.01]
list	Input.filters = [256,256,16]
list	Input.kernelsizes = [(1,50),(8,1),(8,1)]
list	Input.pooling = ['max','none','max']
list	Input.batchnormalization = [True,False,False,False,False,False,False,False]
float	Input.OutputDropout = 0.3
float	Input.FragmentationLowerBound = 0.01
	TASK-SPECIFIC FLAGS #########. More...
float	Input.FragmentationUpperBound = 0.5
float	Input.FragmentationThreshold = 0.1
int	Input.num_classes = 2
int	Input.NPartLowerBound = 1
	PARTICLE NUMBER TASKS: ###. More...
int	Input.NPartUpperBound = 100
bool	Input.momLabels = False
	DENSITY TASKS: ###. More...
bool	Input.NormalizeLabels = False
bool	Input.InterpolatePredictions = False
bool	Input.LearnInterpolationKnots = False
int	Input.InterpolNpoints = 10
float	Input.RegularizationWeight = 0.01
int	Input.InterpolOrder = 5
int	Input.PhaseBins = 20
	PHASE TASKS: ###. More...