Replace scikit-fda by handmade Nadaraya-Watson smoothing

docs/api.rst

@@ -34,8 +34,8 @@ Evaluation and plot
    manager.evaluate_agents
    manager.read_writer_data
    manager.plot_writer_data
-   manager.plot_smoothed_curves
-   manager.plot_synchronized_curves
+   manager.plot_curves_smoothed_NW
+   manager.plot_curves_with_same_x
    manager.compare_agents
 
    manager.tensorboard_to_dataframe

docs/basics/quick_start_rl/quickstart.md

@@ -270,7 +270,7 @@ iteration, the environment takes 100 steps (`horizon`) times the
 
 
 
-Finally, we plot the reward. Here you can see the mean value over the 10 fitted agent, with 2 options (raw and smoothed). Note that, to be able to see the smoothed version, you must have installed the extra package `scikit-fda`, (For more information, you can check the options on the [install page](../../installation.md#options)).
+Finally, we plot the reward. Here you can see the mean value over the 10 fitted agent, with 2 options (raw and smoothed).
 
 ```python
 # Plot of the reward.

pyproject.toml

@@ -40,7 +40,6 @@ stable-baselines3 = {version=">=2.4.1", optional=true}
 tensorboard = {version="*", optional=true}
 torch = {version=">=2.3", optional=true}
 pandas = "*"
-scikit-fda = {git = "https://github.com/GAA-UAM/scikit-fda.git", branch = "develop", optional=true}
 nox = {version="*", optional=true}
 sphinx = {version="6.2.1", optional=true}
 sphinx-gallery = { version= "^0.14.0", optional=true}

rlberry/manager/__init__.py

@@ -3,7 +3,7 @@
 from .multiple_managers import MultipleManagers
 from .evaluation import evaluate_agents, read_writer_data
 from .comparison import compare_agents, AdastopComparator
-from .plotting import plot_smoothed_curves, plot_writer_data, plot_synchronized_curves
+from .plotting import plot_curves_smoothed_NW, plot_writer_data, plot_curves_with_same_x
 from .env_tools import with_venv, run_venv_xp
 from .utils import tensorboard_to_dataframe