release 0.6.0 (#110)

* release 0.6.0 * update
crflynn · Aug 24, 2021 · c15d4ef · c15d4ef
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diff --git a/CHANGELOG.rst b/CHANGELOG.rst
@@ -1,6 +1,15 @@
 Release Changelog
 -----------------
 
+0.6.0 (2021-08-23)
+~~~~~~~~~~~~~~~~~~
+
+* Remove numpy from dependency spec; numpy is already a requirement of scikit-learn
+* Change tree detail training code to be optional in ensembles due to expensive operations
+* Change quantile regression to use ``np.quantile`` in lieu of `np.nanquantile`` for faster predictions
+* Fix bug in tree classmethods when setting ``sample_fraction``
+* Added more documentation around tree detail calculations
+
 0.5.0 (2021-07-20)
 ~~~~~~~~~~~~~~~~~~
 

diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "skranger"
-version = "0.5.0"
+version = "0.6.0"
 description = "Python bindings for C++ ranger random forests"
 authors = ["Flynn <[email protected]>"]
 license = "GPL-3.0-or-later"

diff --git a/skranger/_version.py b/skranger/_version.py
@@ -1 +1 @@
-__version__ = "0.5.0"
+__version__ = "0.6.0"
diff --git a/skranger/ensemble/classifier.py b/skranger/ensemble/classifier.py
@@ -57,7 +57,7 @@ class RangerForestClassifier(BaseRangerForest, ClassifierMixin, BaseEstimator):
     :param bool save_memory: Save memory at the cost of speed growing trees.
     :param int seed: Random seed value.
     :param bool enable_tree_details: When ``True``, perform additional calculations
-        for building the underlying decision trees. Must be enabled for ``estimators_``
+        for detailing the underlying decision trees. Must be enabled for ``estimators_``
         and ``get_estimator`` to work. Very slow.
 
     :ivar ndarray classes\_: The class labels determined from the fit input ``y``.

diff --git a/skranger/ensemble/regressor.py b/skranger/ensemble/regressor.py
@@ -62,7 +62,7 @@ class RangerForestRegressor(BaseRangerForest, RegressorMixin, BaseEstimator):
     :param bool save_memory: Save memory at the cost of speed growing trees.
     :param int seed: Random seed value.
     :param bool enable_tree_details: When ``True``, perform additional calculations
-        for building the underlying decision trees. Must be enabled for ``estimators_``
+        for detailing the underlying decision trees. Must be enabled for ``estimators_``
         and ``get_estimator`` to work. Very slow.
 
     :ivar int n_features_in\_: The number of features (columns) from the fit input

diff --git a/skranger/ensemble/survival.py b/skranger/ensemble/survival.py
@@ -57,7 +57,7 @@ class RangerForestSurvival(BaseRangerForest, BaseEstimator):
     :param int n_jobs: The number of threads. Default is number of CPU cores.
     :param int seed: Random seed value.
     :param bool enable_tree_details: When ``True``, perform additional calculations
-        for building the underlying decision trees. Must be enabled for ``estimators_``
+        for detailing the underlying decision trees. Must be enabled for ``estimators_``
         and ``get_estimator`` to work. Very slow.
 
     :ivar int n_features_in\_: The number of features (columns) from the fit input ``X``.