diff --git a/README.rst b/README.rst index f051900..3d73008 100644 --- a/README.rst +++ b/README.rst @@ -77,7 +77,7 @@ real-world tasks, such as Kaggle [#Bell2007Lessons]_. It can be considered as a subtask of `ensemble learning `_, but is often beyond the scope of ensemble learning. For instance, -averaging the results of multiple runs of a ML model is deemed as +averaging the results of multiple runs of an ML model is deemed as a reliable way of reducing the randomness. See figure below for basic combination approaches. @@ -188,8 +188,8 @@ The following APIs are consistent for most of the models * **predict_proba(X)**\ : Predict the probability of a sample belonging to each class once the estimator is fitted. For raw score combination (after the score matrix is generated), -use individual methods, e.g., average and median, directly in -`"score_comb.py" `_. +use individual methods from +`"score_comb.py" `_ directly. Raw score combination API: (https://pycombo.readthedocs.io/en/latest/api.html#score-combination). @@ -366,7 +366,7 @@ demonstrates the basic API of combining multiple base clustering estimators. AgglomerativeClustering(n_clusters=n_clusters)] -#. Initialize an Clusterer Ensemble class and fit the model +#. Initialize a Clusterer Ensemble class and fit the model .. code-block:: python @@ -450,7 +450,7 @@ demonstrates the basic API of combining multiple base outlier detectors. Development Status ^^^^^^^^^^^^^^^^^^ -combo is currently **under development** as of July 24, 2019. A concrete plan has +combo is currently **under development** as of July 30, 2019. A concrete plan has been laid out and will be implemented in the next few months. Similar to other libraries built by us, e.g., Python Outlier Detection Toolbox diff --git a/docs/api_cc.rst b/docs/api_cc.rst index 2ddacba..e57bc7b 100644 --- a/docs/api_cc.rst +++ b/docs/api_cc.rst @@ -16,8 +16,8 @@ Helpful functions: * Each base estimator can be accessed by calling clf[i] where i is the estimator index. For raw score combination (after the score matrix is generated), -use individual methods, e.g., average and median, directly in -`"score_comb.py" `_. +use individual methods from +`"score_comb.py" `_ directly. Raw score combination API: (https://pycombo.readthedocs.io/en/latest/api.html#score-combination). diff --git a/docs/example.rst b/docs/example.rst index 26adc53..b567bb0 100644 --- a/docs/example.rst +++ b/docs/example.rst @@ -136,7 +136,7 @@ demonstrates the basic API of combining multiple base clustering estimators. AgglomerativeClustering(n_clusters=n_clusters)] -#. Initialize an Clusterer Ensemble class and fit the model +#. Initialize a Clusterer Ensemble class and fit the model .. code-block:: python diff --git a/docs/index.rst b/docs/index.rst index d83aba4..e401e20 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -82,7 +82,7 @@ real-world tasks, such as Kaggle :cite:`a-bell2007lessons`. It can be considered as a subtask of `ensemble learning `_, but is often beyond the scope of ensemble learning. For instance, -averaging the results of multiple runs of a ML model is deemed as +averaging the results of multiple runs of an ML model is deemed as a reliable way of reducing the randomness. See figure below for basic combination approaches. @@ -186,7 +186,7 @@ Anomaly Detection Locally Selective Combination (LSCP) Development Status ^^^^^^^^^^^^^^^^^^ -combo is currently **under development** as of July 24, 2019. A concrete plan has +combo is currently **under development** as of July 30, 2019. A concrete plan has been laid out and will be implemented in the next few months. Similar to other libraries built by us, e.g., Python Outlier Detection Toolbox