fix: imports from modAL.models.learners fixed

Author: cosmic-cortex

modAL/__init__.py

@@ -1,4 +1,4 @@
-from .models import ActiveLearner, Committee, CommitteeRegressor
+from .models.learners import ActiveLearner, Committee, CommitteeRegressor
 from .acquisition import PI, EI, UCB, optimizer_PI, optimizer_EI, optimizer_UCB, max_PI, max_EI, max_UCB
 from .uncertainty import classifier_uncertainty, classifier_margin, classifier_entropy, \
                          uncertainty_sampling, margin_sampling, entropy_sampling

modAL/models/learners.py

@@ -12,6 +12,11 @@
 from modAL.disagreement import vote_entropy_sampling, max_std_sampling
 from modAL.acquisition import max_EI
 
+"""
+Classes for active learning algorithms
+--------------------------------------
+"""
+
 
 class ActiveLearner(BaseLearner):
     """
@@ -94,6 +99,12 @@ def teach(self, X: modALinput, y: modALinput, bootstrap: bool = False, only_new:
             self._fit_on_new(X, y, bootstrap=bootstrap, **fit_kwargs)
 
 
+"""
+Classes for Bayesian optimization
+---------------------------------
+"""
+
+
 class BayesianOptimizer(BaseLearner):
     """
     This class is an abstract model of a Bayesian optimizer algorithm.
@@ -219,6 +230,12 @@ def teach(self, X: modALinput, y: modALinput, bootstrap: bool = False, only_new:
         self._set_max(X, y)
 
 
+"""
+Classes for committee based algorithms
+--------------------------------------
+"""
+
+
 class Committee(BaseCommittee):
     """
     This class is an abstract model of a committee-based active learning algorithm.