typos

docs/user_guide.rst

@@ -83,8 +83,8 @@ The engine is able to register optimization attempts on dataframes called
 feature, as well as a column for the reported score. The values of the
 hyperparameters' columns are the values of the hyperparameters themselves. The
 values of the features' columns are either 0 or 1, which indicate whether the
-features were used or not. An example of history for a K-NN classifier with two
-registries would be:
+features were used or not. An example of history dataframe for a K-NN classifier
+with three registries would be:
 
 =========== ========== === ====== =====
 Hyperparameters        Features   ---

examples/README.md

@@ -14,7 +14,7 @@ without null values. The target column is called `target_class` and contains onl
 2. [Implementing an `on_improvement` function](on_improvement.py)
 
    If we want the engine to trigger a function when a better set of predictions
-   is found, we can define it and pass it to the Engine's constructor.
+   is found, we can define it and pass it to the engine's constructor.
 
 3. [Implementing parameters rules](parameters_rules.py)
 

miraiml/__init__.py

@@ -10,7 +10,7 @@
 >>> from miraiml import HyperSearchSpace, Config, Engine
 """
 
-__version__ = '2.0.1.5'
+__version__ = '2.0.1.6'
 
 from .main import HyperSearchSpace, Config, Engine