0.10.0 changes to SklearnPipelinePermuter

mad-lab-fau · Nov 29, 2023 · abf0040 · abf0040
1 parent 972e9e3
commit abf0040
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Showing 3 changed files with 10 additions and 20 deletions.
diff --git a/examples/SklearnPipelinePermuter_Example.ipynb b/examples/SklearnPipelinePermuter_Example.ipynb
@@ -465,7 +465,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "pipeline_permuter_regression = SklearnPipelinePermuter(model_dict_reg, params_dict_reg, hyper_search_dict=hyper_search_dict_reg)"
+    "pipeline_permuter_regression = SklearnPipelinePermuter(\n",
+    "    model_dict_reg, params_dict_reg, hyper_search_dict=hyper_search_dict_reg\n",
+    ")"
    ]
   },
   {
@@ -585,11 +587,7 @@
    "outputs": [],
    "source": [
     "pipeline_permuter.fit_and_save_intermediate(\n",
-    "    X=X, \n",
-    "    y=y, \n",
-    "    outer_cv=outer_cv, \n",
-    "    inner_cv=inner_cv, \n",
-    "    file_path=tmpdir.joinpath(\"test.pkl\")\n",
+    "    X=X, y=y, outer_cv=outer_cv, inner_cv=inner_cv, file_path=tmpdir.joinpath(\"test.pkl\")\n",
     ")"
    ]
   },
@@ -661,9 +659,7 @@
     "    \"KNeighborsClassifier\": {\"n_neighbors\": [2, 4], \"weights\": [\"uniform\", \"distance\"]},\n",
     "}\n",
     "\n",
-    "pipeline_permuter_01 = SklearnPipelinePermuter(\n",
-    "    model_dict_01, params_dict_01, random_state=42\n",
-    ")\n",
+    "pipeline_permuter_01 = SklearnPipelinePermuter(model_dict_01, params_dict_01, random_state=42)\n",
     "\n",
     "pipeline_permuter_01.fit(X, y, outer_cv=KFold(5), inner_cv=KFold(5), verbose=0)\n",
     "pipeline_permuter_01.to_pickle(tmpdir.joinpath(\"permuter_01.pkl\"))"
@@ -691,9 +687,7 @@
     "    \"KNeighborsClassifier\": {\"n_neighbors\": [2, 4], \"weights\": [\"uniform\", \"distance\"]},\n",
     "}\n",
     "\n",
-    "pipeline_permuter_02 = SklearnPipelinePermuter(\n",
-    "    model_dict_02, params_dict_02, random_state=42\n",
-    ")\n",
+    "pipeline_permuter_02 = SklearnPipelinePermuter(model_dict_02, params_dict_02, random_state=42)\n",
     "\n",
     "pipeline_permuter_02.fit(X, y, outer_cv=KFold(5), inner_cv=KFold(5), verbose=0)\n",
     "pipeline_permuter_02.to_pickle(tmpdir.joinpath(\"permuter_02.pkl\"))"
@@ -722,9 +716,7 @@
     "    \"DecisionTreeClassifier\": {\"criterion\": [\"gini\", \"entropy\"], \"max_depth\": [2, 4]},\n",
     "}\n",
     "\n",
-    "pipeline_permuter_03 = SklearnPipelinePermuter(\n",
-    "    model_dict_03, params_dict_03, random_state=42\n",
-    ")\n",
+    "pipeline_permuter_03 = SklearnPipelinePermuter(model_dict_03, params_dict_03, random_state=42)\n",
     "\n",
     "pipeline_permuter_03.fit(X, y, outer_cv=KFold(5), inner_cv=KFold(5), verbose=0)\n",
     "pipeline_permuter_03.to_pickle(tmpdir.joinpath(\"permuter_03.pkl\"))"
@@ -845,9 +837,7 @@
     "    \"KNeighborsClassifier\": {\"n_neighbors\": [2, 4], \"weights\": [\"uniform\", \"distance\"]},\n",
     "}\n",
     "\n",
-    "pipeline_permuter_partial = SklearnPipelinePermuter(\n",
-    "    model_dict_partial, params_dict_partial, random_state=42\n",
-    ")\n",
+    "pipeline_permuter_partial = SklearnPipelinePermuter(model_dict_partial, params_dict_partial, random_state=42)\n",
     "\n",
     "pipeline_permuter_partial.fit(X, y, outer_cv=KFold(5), inner_cv=KFold(5))\n",
     "pipeline_permuter_partial.to_pickle(tmpdir.joinpath(\"permuter_partial.pkl\"))"

diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "biopsykit"
-version = "0.9.0"
+version = "0.10.0"
 description = "A Python package for the analysis of biopsychological data."
 authors = [
     "Robert Richer <robert.richer@fau.de>",

diff --git a/src/biopsykit/__init__.py b/src/biopsykit/__init__.py
@@ -30,7 +30,7 @@
     "utils",
 ]
 
-__version__ = "0.9.0"
+__version__ = "0.10.0"
 
 
 def version() -> None: