taxons.core.utils.utils Namespace Reference

Classes
class	Logger
class	LRScheduler

Functions
def	action_formatting (env_tag, action)
def	extact_hd_bs (env, obs, reward=None, done=None, info=None)
def	get_projectpath ()
def	load_maze_image ()
def	show (bs_points, filepath, name=None, info=None, upper_limit=1.35, lower_limit=-1.35)
def	split_array (a, batch_size=32, shuffle=True)

Function Documentation

def taxons.core.utils.utils.action_formatting	(		env_tag,
			action
	)

This function helps reformat the actions according to the environment
:param env_tag: Environment name
:param action: Action to reformat
:return: The formatted action

def taxons.core.utils.utils.extact_hd_bs	(		env,
			obs,
			reward = None,
			done = None,
			info = None
	)

  This function helps extract the hand designed BS used to compare the approaches
  :param env_tag: Environment name
  :param obs: Observation to reformat
  :return: The extracted ground truth BS

def taxons.core.utils.utils.get_projectpath

(

)

Finds the projectpact
:return: Absolute path of the project

def taxons.core.utils.utils.load_maze_image

(

)

Loads the image of the maze for the Fastsim simulator
:return: The image of the maze as numpy array

def taxons.core.utils.utils.show	(		bs_points,
			filepath,
			name = None,
			info = None,
			upper_limit = 1.35,
			lower_limit = -1.35
	)

Shows the coverage of the found solutions in the ground truth space
:param bs_points: BS points in the ground truth space
:param filepath: Path where to save the image
:param name: Name of the plot
:param info: Info about the data
:param upper_limit: Upper limit of the graph
:param lower_limit: Bottom limit of the graph
:return: The coverage value

def taxons.core.utils.utils.split_array	(		a,
			batch_size = 32,
			shuffle = True
	)

Splits a data array in arrays of the given batch size
:param a: Array to split
:param batch_size: Batch size of new arrays
:param shuffle: Flag to shuffle the array
:return: A list of arrays of batch_size