[MRG+1] DOC: complete list of online learners
* DOC: complete list of online learners
I have purposely left out the RBM, because it is a model that has fallen
out of fashion and should probably not be used.
* DOC: Add MaxAbsScaler to online learners
@@ -62,16 +62,22 @@ Here is a list of incremental estimators for different tasks:
+ :class:`sklearn.linear_model.Perceptron`
+ :class:`sklearn.linear_model.SGDClassifier`
+ :class:`sklearn.linear_model.PassiveAggressiveClassifier`
+ + :class:`sklearn.neural_network.MLPClassifier`
- Regression
+ :class:`sklearn.linear_model.SGDRegressor`
+ :class:`sklearn.linear_model.PassiveAggressiveRegressor`
+ + :class:`sklearn.neural_network.MLPRegressor`
- Clustering
+ :class:`sklearn.cluster.MiniBatchKMeans`
+ + :class:`sklearn.cluster.Birch`
- Decomposition / feature Extraction
+ :class:`sklearn.decomposition.MiniBatchDictionaryLearning`
+ :class:`sklearn.decomposition.IncrementalPCA`
+ :class:`sklearn.decomposition.LatentDirichletAllocation`
- + :class:`sklearn.cluster.MiniBatchKMeans`
+ - Preprocessing
+ + :class:`sklearn.preprocessing.StandardScaler`
+ + :class:`sklearn.preprocessing.MinMaxScaler`
+ + :class:`sklearn.preprocessing.MaxAbsScaler`
For classification, a somewhat important thing to note is that although a
stateless feature extraction routine may be able to cope with new/unseen
