random_time_series_source

Module: missions.nodes.source.random_time_series_source

Generate random data for TimeSeries

Inheritance diagram for pySPACE.missions.nodes.source.random_time_series_source:

Inheritance diagram of pySPACE.missions.nodes.source.random_time_series_source

RandomTimeSeriesSourceNode

class pySPACE.missions.nodes.source.random_time_series_source.RandomTimeSeriesSourceNode(num_instances=20, generating_function_class_0=<function <lambda>>, generating_function_class_1=<function <lambda>>, channel_names=['X', 'Y'], class_labels=['A', 'B'], class_choice_function=<built-in method random of Random object>, choice_threshold=0.33, sampling_frequency=2, **kwargs)[source]

Bases: pySPACE.missions.nodes.source.time_series_source.TimeSeriesSourceNode

Generate random data and act as a source for windowed TimeSeries

This node acts as a source for windowed TimeSeries. The TimeSeries are generated randomly according to the given parameters and forwarded.

The time series are generated according to the given generating function, and the class label by a uniform distribution according with a given threshold Only two classes are supported by now.

Parameters

num_instances:

The number of instances to be generated.

(optional, default: 20)
generating_function_class_0:
 

A function to generate data for class 0. Receives an index, which states the number of already generated samples.

(optional, default: lambda i: numpy.ones((2,2))*i)
generating_function_class_1:
 

A function to generate data for class 1. Receives an index, which states the number of already generated samples.

(optional, default: lambda i: numpy.ones((2,2))*i)
channel_names:

Channel names of the time series objects.
class_labels:

The class labels of the generated time series.
choice_threshold:
 

The threshold class assignment. The classes are generated randomly by generating a random number r between 0 and 1. If r < threshold, the class label is class_labels[0], and class_labels[1] otherwise.
sampling_frequency:
 

Sampling frequency of the generated time series.
random:

If true, the order of the data is randomly shuffled.

(optional, default: True)

Exemplary Call

- 
    node : RandomTimeSeriesSource
Author:

Hendrik Woehrle (hendrik.woehrle@dfki.de)
Created:

2010/09/22
POSSIBLE NODE NAMES:
 
  • RandomTimeSeriesSource
  • RandomTimeSeriesSourceNode
POSSIBLE INPUT TYPES:
 
  • TimeSeries

Class Components Summary

generate_random_data() Method that is invoked by train and test data generation functions
get_metadata(key) This source node does not contain collection meta data.
request_data_for_testing() Returns the data that can be used for testing of subsequent nodes
request_data_for_training(use_test_data) Returns the data that can be used for testing of subsequent nodes
__init__(num_instances=20, generating_function_class_0=<function <lambda>>, generating_function_class_1=<function <lambda>>, channel_names=['X', 'Y'], class_labels=['A', 'B'], class_choice_function=<built-in method random of Random object>, choice_threshold=0.33, sampling_frequency=2, **kwargs)[source]
generate_random_data()[source]

Method that is invoked by train and test data generation functions

request_data_for_testing()[source]

Returns the data that can be used for testing of subsequent nodes

request_data_for_training(use_test_data)[source]

Returns the data that can be used for testing of subsequent nodes

get_metadata(key)[source]

This source node does not contain collection meta data.