DOC: move missing projects from wiki to related_projects
@@ -21,6 +21,9 @@ enhance the functionality of scikit-learn's estimators.
**Data formats**
+- `Fast svmlight / libsvm file loader <https://github.com/mblondel/svmlight-loader>`_
+ Fast and memory-efficient svmlight / libsvm file loader for Python.
+
- `sklearn_pandas <https://github.com/paulgb/sklearn-pandas/>`_ bridge for
scikit-learn pipelines and pandas data frame with dedicated transformers.
@@ -39,12 +42,6 @@ enhance the functionality of scikit-learn's estimators.
preprocessors as well as the estimators. Works as a drop-in replacement for a
scikit-learn estimator.
-- `scikit-optimize <https://scikit-optimize.github.io/>`_
- A library to minimize (very) expensive and noisy black-box functions. It
- implements several methods for sequential model-based optimization, and
- includes a replacement for ``GridSearchCV`` or ``RandomizedSearchCV`` to do
- cross-validated parameter search using any of these strategies.
-
**Experimentation frameworks**
- `REP <https://github.com/yandex/REP>`_ Environment for conducting data-driven
@@ -71,6 +68,16 @@ enhance the functionality of scikit-learn's estimators.
custom matplotlib visualizers for scikit-learn estimators to support visual feature
analysis, model selection, evaluation, and diagnostics.
+**Model selection**
+
+- `scikit-optimize <https://scikit-optimize.github.io/>`_
+ A library to minimize (very) expensive and noisy black-box functions. It
+ implements several methods for sequential model-based optimization, and
+ includes a replacement for ``GridSearchCV`` or ``RandomizedSearchCV`` to do
+ cross-validated parameter search using any of these strategies.
+
+- `sklearn-deap <https://github.com/rsteca/sklearn-deap>`_ Use evolutionary
+ algorithms instead of gridsearch in scikit-learn.
**Model export for production**
@@ -163,6 +170,11 @@ and tasks.
- `seglearn <https://github.com/dmbee/seglearn>`_ Time series and sequence
learning using sliding window segmentation.
+- `libOPF <https://github.com/jppbsi/LibOPF>`_ Optimal path forest classifier
+
+- `fastFM <https://github.com/ibayer/fastFM>`_ Fast factorization machine
+ implementation compatible with scikit-learn
+
**Decomposition and clustering**
- `lda <https://github.com/lda-project/lda/>`_: Fast implementation of latent
