print_data

Module: missions.nodes.debug.print_data

Print out formatted data.

Inheritance diagram for pySPACE.missions.nodes.debug.print_data:

Class Summary

PrintDataNode([print_delimiters, ...])	Print out formatted data.
EstimateBandwidthNode([print_bw])	Estimates the Bandwidth of the data which is forwarded through this node

Classes

PrintDataNode

class pySPACE.missions.nodes.debug.print_data.PrintDataNode(print_delimiters=True, print_markers=True, print_hex=False, print_normal=True, numpy_printoptions=None, print_samples=True, print_shape=False, **kwargs)

Bases: pySPACE.missions.nodes.base_node.BaseNode

Print out formatted data.

This prints out the data to support debugging.

Parameters

print_delimiters:  

Separate prints with delimiters for readibility

(optional, default: True)

print_markers:

Print the markers.

(optional, default: True)

print_shape:

Print the the datas shape.

(optional, default: False)

print_samples:

Print the data.

(optional, default: True)

print_hex:

Print the data in flattened hex format.

(optional, default: False)

print_normal:

Print the data “normally”.

(optional, default: True)

numpy_printoptions:  

Specify numpy printoptions. Use none, if it does not apply.

(optional, default: None)

Exemplary Call

-
    node : PrintData
    parameters :
        numpy_printoptions :
            precision : 12
            threshold : 100

Authors:

Hendrik Woehrle (hendrik.woehrle@dfki.de)

Created:

2012/04/20

POSSIBLE NODE NAMES:  

• PrintDataNode
• Print_Data
• PrintData

POSSIBLE INPUT TYPES:  

• PredictionVector
• FeatureVector
• TimeSeries

Class Components Summary

input_types
print_data(data, label)	Print the data according to the specified constraints.
process()	Processes all data that is provided by the input node
request_data_for_testing()	Returns data for testing of subsequent nodes of the node chain
request_data_for_training(use_test_data)	Returns data for training of subsequent nodes of the node chain

__init__(print_delimiters=True, print_markers=True, print_hex=False, print_normal=True, numpy_printoptions=None, print_samples=True, print_shape=False, **kwargs)

process()

Processes all data that is provided by the input node

Returns a generator that yields the data after being processed by this node.

request_data_for_training(use_test_data)

Returns data for training of subsequent nodes of the node chain

A call to this method might involve training of the node chain up this node. If use_test_data is true, all available data is used for training, otherwise only the data that is explicitly for training.

request_data_for_testing()

Returns data for testing of subsequent nodes of the node chain

A call to this node might involve evaluating the whole node chain up to this node.

print_data(data, label)

Print the data according to the specified constraints.

input_types = ['PredictionVector', 'FeatureVector', 'TimeSeries']

EstimateBandwidthNode

class pySPACE.missions.nodes.debug.print_data.EstimateBandwidthNode(print_bw=True, **kwargs)

Bases: pySPACE.missions.nodes.base_node.BaseNode

Estimates the Bandwidth of the data which is forwarded through this node

Parameters

print_bw:

print the results for every data blob

(optional, default: True)

Exemplary Call

-
    node : EstimateBandwidth
    parameters :
        print_bw : False

Authors:

Johannes Teiwes (johannes.teiwes@dfki.de)

Created:

2013/06/18

POSSIBLE NODE NAMES:  

• EstimateBandwidth
• EstimateBandwidthNode

POSSIBLE INPUT TYPES:  

• PredictionVector
• FeatureVector
• TimeSeries

Class Components Summary

_execute(data)	forward data and just take the current time
input_types

__init__(print_bw=True, **kwargs)

_execute(data)

forward data and just take the current time

input_types = ['PredictionVector', 'FeatureVector', 'TimeSeries']