Classes
class	DiffDisplay
class	DisplayDataWithRviz
class	TestOnlineClassification
class	TimeSeriesClassifier
class	TimeSeriesVectorizer
Functions
def	average_reading_over_trials
def	break_record_matrices_into_chunks
def	construct_list_of_segmented_matrices_from_trial_recording
	Create matrices split based on state.
def	construct_pressure_marker_message
def	create_colored_3d_points_from_matrices
def	find_trial_durations
def	select_time
def	subtract_records
def	success_failure_classification_preprocess
	Takes in a folder, outputs a dictionary organized by data by contact segment, topic, list of {'left', 'right', 't'}.
def	zero_out_time_in_trials
Variables
tuple	classifier = TimeSeriesClassifier()
tuple	d = DisplayDataWithRviz()
tuple	fail_dict = success_failure_classification_preprocess(sys.argv[3])
tuple	succ_dict = success_failure_classification_preprocess(sys.argv[2])
tuple	t = TimeSeriesClassifier()

Function Documentation

def hai_sandbox.success_classifier.average_reading_over_trials	(	data_dict,
		topic
	)

Definition at line 666 of file success_classifier.py.

def hai_sandbox.success_classifier.break_record_matrices_into_chunks	(	data_dict,
		segmented_matrices,
		minimal_trial_lengths,
		chunk_times,
		topic
	)

Definition at line 80 of file success_classifier.py.

def hai_sandbox.success_classifier.construct_list_of_segmented_matrices_from_trial_recording	(	data_dict,
		topic
	)

Create matrices split based on state.

Parameters:

data_dict	[state number] [topic] [trial number] ['t' 'left' 'right']
topic	string

Returns:: segmented_matrices[record_number][state_number]['t'] => 1xN array ['mat'] => 44xN mat

Definition at line 623 of file success_classifier.py.

def hai_sandbox.success_classifier.construct_pressure_marker_message	(	data_dict,
		topic,
		base_color = `np.matrix([1.,0`,
		T
	)

Definition at line 527 of file success_classifier.py.

def hai_sandbox.success_classifier.create_colored_3d_points_from_matrices	(	matrices,
		index_list
	)

Definition at line 638 of file success_classifier.py.

def hai_sandbox.success_classifier.find_trial_durations	(	data_dict,
		topic
	)

Definition at line 517 of file success_classifier.py.

def hai_sandbox.success_classifier.select_time	(	data,
		time_rec,
		time_start,
		time_end
	)

Definition at line 76 of file success_classifier.py.

def hai_sandbox.success_classifier.subtract_records	(	recorda,
		recordb,
		topic
	)

Definition at line 688 of file success_classifier.py.

def hai_sandbox.success_classifier.success_failure_classification_preprocess ( folder_name )

Takes in a folder, outputs a dictionary organized by data by contact segment, topic, list of {'left', 'right', 't'}.

Definition at line 24 of file success_classifier.py.

def hai_sandbox.success_classifier.zero_out_time_in_trials	(	data_dict,
		topic
	)

Definition at line 505 of file success_classifier.py.

Variable Documentation

Definition at line 767 of file success_classifier.py.

Definition at line 778 of file success_classifier.py.

Definition at line 760 of file success_classifier.py.

Definition at line 755 of file success_classifier.py.

Definition at line 792 of file success_classifier.py.