Update algorithms docs for Aqua (qiskit-community/qiskit-aqua#900)

* Update algorithm docs for new categories

* Add custom words

Author: woodsp-ibm

qiskit/aqua/algorithms/classifiers/qsvm/qsvm.py

@@ -12,7 +12,7 @@
 # copyright notice, and modified files need to carry a notice indicating
 # that they have been altered from the originals.
 
-"""Quantum SVM algorithm."""
+"""The Quantum SVM algorithm."""
 
 from typing import Dict, Optional, Union
 import logging
@@ -42,7 +42,7 @@
 
 class QSVM(QuantumAlgorithm):
     """
-    Quantum SVM algorithm.
+    The Quantum SVM algorithm.
 
     A key concept in classification methods is that of a kernel. Data cannot typically be
     separated by a hyperplane in its original space. A common technique used to find such a

qiskit/aqua/algorithms/classifiers/sklearn_svm/sklearn_svm.py

@@ -13,7 +13,7 @@
 # that they have been altered from the originals.
 
 """
-The Sklearn SVM algorithm.
+The Sklearn SVM algorithm (classical).
 """
 
 from typing import Dict, Optional
@@ -36,12 +36,12 @@
 
 class SklearnSVM(ClassicalAlgorithm):
     """
-    The Sklearn SVM algorithm.
+    The Sklearn SVM algorithm (classical).
 
-    SVM Classical uses a classical approach to experiment with feature map classification
-    problems. See also the quantum classifier :class:`QSVM`.
+    This scikit-learn based SVM algorithm uses a classical approach to experiment with feature map
+    classification problems. See also the quantum classifier :class:`QSVM`.
 
-    Internally, SVM Classical will run the binary classification or multiclass classification
+    Internally, this algorithm will run the binary classification or multiclass classification
     based on how many classes the data has. If the data has more than 2 classes then a
     *multiclass_extension* is required to be supplied. Aqua provides several
     :mod:`~qiskit.aqua.components.multiclass_extensions`.