Merge pull request #8307 from initrv/tensorboard-category

Improve tensorboard_log

docs/freqai-reinforcement-learning.md

@@ -248,13 +248,13 @@ FreqAI also provides a built in episodic summary logger called `self.tensorboard
             """
             def calculate_reward(self, action: int) -> float:
                 if not self._is_valid(action):
-                    self.tensorboard_log("is_valid")
+                    self.tensorboard_log("invalid")
                     return -2
 
 ```
 
 !!! Note
-    The `self.tensorboard_log()` function is designed for tracking incremented objects only i.e. events, actions inside the training environment. If the event of interest is a float, the float can be passed as the second argument e.g. `self.tensorboard_log("float_metric1", 0.23)` would add 0.23 to `float_metric`. In this case you can also disable incrementing using `inc=False` parameter.
+    The `self.tensorboard_log()` function is designed for tracking incremented objects only i.e. events, actions inside the training environment. If the event of interest is a float, the float can be passed as the second argument e.g. `self.tensorboard_log("float_metric1", 0.23)`. In this case the metric values are not incremented.
 
 ### Choosing a base environment