success_classifier.py File Reference

Go to the source code of this file.

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