@@ -115,13 +115,12 @@ class LearnerND(BaseLearner):

     Methods

     -------

-    plot()

+    plot(n)

         If dim == 2, this method will plot the function being learned.

-    plot_slice((x, y, ...), n)

-        plot a slice of the function using the current data. If a coordinate is

-        passed as None, it will be used to plot. e.g. you have a 3d learner,

-        passing (1, None, None) will plot a 2d intersection with

-        x = 1, y = linspace(y_min, y_max, n), z = linspace(z_min, z_max, n).

+    plot_slice(cut_mapping, n)

+        plot a slice of the function using interpolation of the current data.

+        the cut_mapping contains the fixed parameters, the other parameters are

+        used as axes for plotting.

     Notes

     -----

@@ -459,7 +458,8 @@ class LearnerND(BaseLearner):

         Parameters

         ----------

         cut_mapping : dict (int -> float)

-            for each dimension the value

+            for each fixed dimension the value, the other dimensions

+            are interpolated

         n : int

             the number of boxes in the interpolation grid along each axis

         """