rmcat Adapter¶
¶
- class network_gym_client.envs.rmcat.Adapter(config_json)[source]¶
rmcat env adapter.
- Parameters:
Adapter (network_gym_client.adapter.Adapter) – base class.
Initialize the adapter.
- Parameters:
config_json (json) – the configuration file
Methods¶
- network_gym_client.envs.rmcat.Adapter.get_observation(self, df)¶
Prepare observation for rmcat env.
This function should return the same number of features defined in the
get_observation_space().- Parameters:
df (pd.dataframe) – network stats measurement
- Returns:
spaces – observation spaces
- network_gym_client.envs.rmcat.Adapter.get_reward(self, df)¶
Prepare reward for the rmcat env.
- Parameters:
df (pd.DataFrame) – network stats
- Returns:
spaces – reward spaces
- network_gym_client.envs.rmcat.Adapter.get_policy(self, action)¶
Prepare policy for the rmcat env.
- Parameters:
action (spaces) – action from the RL agent
- Returns:
json – network policy
Reward Methods¶
Additional Methods¶
- network_gym_client.envs.rmcat.Adapter.get_action_space(self)¶
Get action space for the rmcat env.
- Returns:
spaces – action spaces
- network_gym_client.envs.rmcat.Adapter.get_observation_space(self)¶
Get the observation space for rmcat env.
- Returns:
spaces – observation spaces