[docs]class Baseline:
def __init__(self, env_spec):
self._mdp_spec = env_spec
@property
def algorithm_parallelized(self):
return False
[docs] def get_param_values(self):
raise NotImplementedError
[docs] def set_param_values(self, val):
raise NotImplementedError
[docs] def fit(self, paths):
raise NotImplementedError
[docs] def predict(self, path):
raise NotImplementedError
[docs] def log_diagnostics(self, paths):
"""
Log extra information per iteration based on the collected paths
"""
pass