Update upstream source from tag 'upstream/2023.7.0'

Update to upstream version '2023.7.0'
with Debian dir 2618fa743e02c15eb038e44b557f7fb8e48e78c3

24 files changed, 121 insertions, 105 deletions

diff --git a/.github/workflows/ci-dev.yaml b/.github/workflows/ci-dev.yaml
new file mode 100644
index 0000000..f66c713
--- /dev/null
+++ b/.github/workflows/ci-dev.yaml
@@ -0,0 +1,12 @@
+# Example of workflow trigger for calling workflow (the client).
+name: ci-dev
+on:
+  pull_request:
+    branches: ["dev"]
+  push:
+    branches: ["dev"]
+jobs:
+  ci:
+    uses: qiime2/distributions/.github/workflows/lib-ci-dev.yaml@dev
+    with:
+      distro: core
\ No newline at end of file
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
deleted file mode 100644
index e994794..0000000
--- a/.github/workflows/ci.yml
+++ /dev/null
@@ -1,55 +0,0 @@
-# This file is automatically generated by busywork.qiime2.org and
-# template-repos - any manual edits made to this file will be erased when
-# busywork performs maintenance updates.
-
-name: ci
-
-on:
-  pull_request:
-  push:
-    branches:
-      - master
-
-jobs:
-  lint:
-    runs-on: ubuntu-latest
-    steps:
-    - name: checkout source
-      uses: actions/checkout@v2
-
-    - name: set up python 3.8
-      uses: actions/setup-python@v1
-      with:
-        python-version: 3.8
-
-    - name: install dependencies
-      run: python -m pip install --upgrade pip
-
-    - name: lint
-      run: |
-        pip install -q https://github.com/qiime2/q2lint/archive/master.zip
-        q2lint
-        pip install -q flake8
-        flake8
-
-  build-and-test:
-    needs: lint
-    strategy:
-      matrix:
-        os: [ubuntu-latest, macos-latest]
-    runs-on: ${{ matrix.os }}
-    steps:
-    - name: checkout source
-      uses: actions/checkout@v2
-      with:
-        fetch-depth: 0
-
-    - name: set up git repo for versioneer
-      run: git fetch --depth=1 origin +refs/tags/*:refs/tags/*
-
-    - uses: qiime2/action-library-packaging@alpha1
-      with:
-        package-name: q2-sample-classifier
-        build-target: dev
-        additional-tests: py.test --pyargs q2_sample_classifier
-        library-token: ${{ secrets.LIBRARY_TOKEN }}
diff --git a/.github/workflows/join-release.yaml b/.github/workflows/join-release.yaml
new file mode 100644
index 0000000..8669749
--- /dev/null
+++ b/.github/workflows/join-release.yaml
@@ -0,0 +1,6 @@
+name: join-release
+on:
+  workflow_dispatch: {}
+jobs:
+  release:
+    uses: qiime2/distributions/.github/workflows/lib-join-release.yaml@dev
\ No newline at end of file
diff --git a/.github/workflows/tag-release.yaml b/.github/workflows/tag-release.yaml
new file mode 100644
index 0000000..8b0f228
--- /dev/null
+++ b/.github/workflows/tag-release.yaml
@@ -0,0 +1,7 @@
+name: tag-release
+on:
+  push:
+    branches: ["Release-*"]
+jobs:
+  tag:
+    uses: qiime2/distributions/.github/workflows/lib-tag-release.yaml@dev
\ No newline at end of file
diff --git a/LICENSE b/LICENSE
index a77f678..71235b5 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,6 +1,6 @@
 BSD 3-Clause License
 
-Copyright (c) 2017-2022, QIIME 2 development team.
+Copyright (c) 2017-2023, QIIME 2 development team.
 All rights reserved.
 
 Redistribution and use in source and binary forms, with or without
diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml
index 94f805c..1a8de08 100644
--- a/ci/recipe/meta.yaml
+++ b/ci/recipe/meta.yaml
@@ -32,6 +32,9 @@ requirements:
     - q2-feature-table {{ qiime2_epoch }}.*
 
 test:
+  commands:
+    - py.test --pyargs q2_sample_classifier
+    
   requires:
     - qiime2 >={{ qiime2 }}
     - q2-types >={{ q2_types }}
diff --git a/q2_sample_classifier/__init__.py b/q2_sample_classifier/__init__.py
index e7a023f..70193e9 100644
--- a/q2_sample_classifier/__init__.py
+++ b/q2_sample_classifier/__init__.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/_format.py b/q2_sample_classifier/_format.py
index fe125f3..a08c129 100644
--- a/q2_sample_classifier/_format.py
+++ b/q2_sample_classifier/_format.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/_transformer.py b/q2_sample_classifier/_transformer.py
index 04299ed..f5b4e2a 100644
--- a/q2_sample_classifier/_transformer.py
+++ b/q2_sample_classifier/_transformer.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/_type.py b/q2_sample_classifier/_type.py
index 66a4e82..55251c1 100644
--- a/q2_sample_classifier/_type.py
+++ b/q2_sample_classifier/_type.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/_version.py b/q2_sample_classifier/_version.py
index 97323c1..8809afd 100644
--- a/q2_sample_classifier/_version.py
+++ b/q2_sample_classifier/_version.py
@@ -23,9 +23,9 @@ def get_keywords():
     # setup.py/versioneer.py will grep for the variable names, so they must
     # each be defined on a line of their own. _version.py will just call
     # get_keywords().
-    git_refnames = " (HEAD -> master, tag: 2022.11.1)"
-    git_full = "f693e2087a65c868846472d3284c7ba9f00d4bfc"
-    git_date = "2022-12-21 22:30:20 +0000"
+    git_refnames = " (tag: 2023.7.0, Release-2023.7)"
+    git_full = "28215705a9e042fe0ac5b5c1a9313ec13e5d1d07"
+    git_date = "2023-08-17 19:35:51 +0000"
     keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
     return keywords
 
diff --git a/q2_sample_classifier/classify.py b/q2_sample_classifier/classify.py
index 414881f..0e35436 100644
--- a/q2_sample_classifier/classify.py
+++ b/q2_sample_classifier/classify.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/plugin_setup.py b/q2_sample_classifier/plugin_setup.py
index 8ae4d3d..3a9b4b5 100644
--- a/q2_sample_classifier/plugin_setup.py
+++ b/q2_sample_classifier/plugin_setup.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
@@ -155,12 +155,15 @@ parameter_descriptions = {
 
 classifiers = Str % Choices(
     ['RandomForestClassifier', 'ExtraTreesClassifier',
-     'GradientBoostingClassifier', 'AdaBoostClassifier',
+     'GradientBoostingClassifier',
+     'AdaBoostClassifier[DecisionTree]', 'AdaBoostClassifier[ExtraTrees]',
      'KNeighborsClassifier', 'LinearSVC', 'SVC'])
 
 regressors = Str % Choices(
     ['RandomForestRegressor', 'ExtraTreesRegressor',
-     'GradientBoostingRegressor', 'AdaBoostRegressor', 'ElasticNet',
+     'GradientBoostingRegressor',
+     'AdaBoostRegressor[DecisionTree]', 'AdaBoostRegressor[ExtraTrees]',
+     'ElasticNet',
      'Ridge', 'Lasso', 'KNeighborsRegressor', 'LinearSVR', 'SVR'])
 
 output_descriptions = {
diff --git a/q2_sample_classifier/tests/__init__.py b/q2_sample_classifier/tests/__init__.py
index fed4ef6..357a7fc 100644
--- a/q2_sample_classifier/tests/__init__.py
+++ b/q2_sample_classifier/tests/__init__.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/tests/test_actions.py b/q2_sample_classifier/tests/test_actions.py
index 2e1bd2a..e13a86c 100644
--- a/q2_sample_classifier/tests/test_actions.py
+++ b/q2_sample_classifier/tests/test_actions.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/tests/test_base_class.py b/q2_sample_classifier/tests/test_base_class.py
index cdc0cc8..ed421aa 100644
--- a/q2_sample_classifier/tests/test_base_class.py
+++ b/q2_sample_classifier/tests/test_base_class.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/tests/test_classifier.py b/q2_sample_classifier/tests/test_classifier.py
index e17bbd9..6a21ddc 100644
--- a/q2_sample_classifier/tests/test_classifier.py
+++ b/q2_sample_classifier/tests/test_classifier.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/tests/test_estimators.py b/q2_sample_classifier/tests/test_estimators.py
index 277be3b..b42de3c 100644
--- a/q2_sample_classifier/tests/test_estimators.py
+++ b/q2_sample_classifier/tests/test_estimators.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
@@ -14,6 +14,7 @@ import json
 import numpy as np
 from sklearn.metrics import mean_squared_error, accuracy_score
 from sklearn.ensemble import AdaBoostClassifier
+from sklearn.tree import DecisionTreeClassifier, ExtraTreeClassifier
 from sklearn.feature_extraction import DictVectorizer
 from sklearn.pipeline import Pipeline
 import skbio
@@ -235,8 +236,10 @@ class EstimatorsTests(SampleClassifierTestPluginBase):
     # when a random seed is set.
     def test_classifiers(self):
         for classifier in ['RandomForestClassifier', 'ExtraTreesClassifier',
-                           'GradientBoostingClassifier', 'AdaBoostClassifier',
-                           'LinearSVC', 'SVC', 'KNeighborsClassifier']:
+                           'GradientBoostingClassifier',
+                           'AdaBoostClassifier[DecisionTree]',
+                           'AdaBoostClassifier[ExtraTrees]', 'LinearSVC',
+                           'SVC', 'KNeighborsClassifier']:
             table_fp = self.get_data_path('chardonnay.table.qza')
             table = qiime2.Artifact.load(table_fp)
             res = sample_classifier.actions.classify_samples(
@@ -356,9 +359,11 @@ class EstimatorsTests(SampleClassifierTestPluginBase):
     # when a random seed is set.
     def test_regressors(self):
         for regressor in ['RandomForestRegressor', 'ExtraTreesRegressor',
-                          'GradientBoostingRegressor', 'AdaBoostRegressor',
-                          'Lasso', 'Ridge', 'ElasticNet',
-                          'KNeighborsRegressor', 'LinearSVR', 'SVR']:
+                          'GradientBoostingRegressor',
+                          'AdaBoostRegressor[DecisionTree]',
+                          'AdaBoostRegressor[ExtraTrees]', 'Lasso', 'Ridge',
+                          'ElasticNet', 'KNeighborsRegressor', 'LinearSVR',
+                          'SVR']:
             table_fp = self.get_data_path('ecam-table-maturity.qza')
             table = qiime2.Artifact.load(table_fp)
             res = sample_classifier.actions.regress_samples(
@@ -386,13 +391,25 @@ class EstimatorsTests(SampleClassifierTestPluginBase):
                         regressor, accuracy, seeded_results[regressor]))
 
     # test adaboost base estimator trainer
-    def test_train_adaboost_base_estimator(self):
+    def test_train_adaboost_decision_tree(self):
         abe = _train_adaboost_base_estimator(
             self.table_chard_fp, self.mdc_chard_fp, 'Region',
             n_estimators=10, n_jobs=1, cv=3, random_state=None,
             parameter_tuning=True, classification=True,
-            missing_samples='ignore')
+            missing_samples='ignore', base_estimator="DecisionTree")
+        self.assertEqual(type(abe.named_steps.est), AdaBoostClassifier)
+        self.assertEqual(type(abe.named_steps.est.base_estimator),
+                         DecisionTreeClassifier)
+
+    def test_train_adaboost_extra_trees(self):
+        abe = _train_adaboost_base_estimator(
+            self.table_chard_fp, self.mdc_chard_fp, 'Region',
+            n_estimators=10, n_jobs=1, cv=3, random_state=None,
+            parameter_tuning=True, classification=True,
+            missing_samples='ignore', base_estimator="ExtraTrees")
         self.assertEqual(type(abe.named_steps.est), AdaBoostClassifier)
+        self.assertEqual(type(abe.named_steps.est.base_estimator),
+                         ExtraTreeClassifier)
 
     # test some invalid inputs/edge cases
     def test_invalids(self):
@@ -458,8 +475,10 @@ class EstimatorsTests(SampleClassifierTestPluginBase):
     # x, y, and z predicts the correct metadata values for those same samples.
     def test_predict_classifications(self):
         for classifier in ['RandomForestClassifier', 'ExtraTreesClassifier',
-                           'GradientBoostingClassifier', 'AdaBoostClassifier',
-                           'LinearSVC', 'SVC', 'KNeighborsClassifier']:
+                           'GradientBoostingClassifier',
+                           'AdaBoostClassifier[DecisionTree]',
+                           'AdaBoostClassifier[ExtraTrees]', 'LinearSVC',
+                           'SVC', 'KNeighborsClassifier']:
             estimator, importances = fit_classifier(
                 self.table_chard_fp, self.mdc_chard_fp, random_state=123,
                 n_estimators=2, estimator=classifier, n_jobs=1,
@@ -494,7 +513,9 @@ class EstimatorsTests(SampleClassifierTestPluginBase):
 
     def test_predict_regressions(self):
         for regressor in ['RandomForestRegressor', 'ExtraTreesRegressor',
-                          'GradientBoostingRegressor', 'AdaBoostRegressor',
+                          'GradientBoostingRegressor',
+                          'AdaBoostRegressor[DecisionTree]',
+                          'AdaBoostRegressor[ExtraTrees]',
                           'Lasso', 'Ridge', 'ElasticNet',
                           'KNeighborsRegressor', 'SVR', 'LinearSVR']:
             estimator, importances = fit_regressor(
@@ -558,14 +579,16 @@ seeded_results = {
     'RandomForestClassifier': 0.63636363636363635,
     'ExtraTreesClassifier': 0.454545454545,
     'GradientBoostingClassifier': 0.272727272727,
-    'AdaBoostClassifier': 0.272727272727,
+    'AdaBoostClassifier[DecisionTree]': 0.272727272727,
+    'AdaBoostClassifier[ExtraTrees]': 0.272727272727,
     'LinearSVC': 0.818182,
     'SVC': 0.36363636363636365,
     'KNeighborsClassifier': 0.363636363636,
     'RandomForestRegressor': 23.226508,
     'ExtraTreesRegressor': 19.725397,
     'GradientBoostingRegressor': 34.157100,
-    'AdaBoostRegressor': 30.920635,
+    'AdaBoostRegressor[DecisionTree]': 30.920635,
+    'AdaBoostRegressor[ExtraTrees]': 21.746031,
     'Lasso': 722.827623,
     'Ridge': 521.195194222418,
     'ElasticNet': 618.532273,
@@ -577,14 +600,16 @@ seeded_predict_results = {
     'RandomForestClassifier': 18,
     'ExtraTreesClassifier': 21,
     'GradientBoostingClassifier': 21,
-    'AdaBoostClassifier': 21,
+    'AdaBoostClassifier[DecisionTree]': 21,
+    'AdaBoostClassifier[ExtraTrees]': 21,
     'LinearSVC': 21,
     'SVC': 12,
     'KNeighborsClassifier': 14,
     'RandomForestRegressor': 7.4246031746,
     'ExtraTreesRegressor': 0.,
     'GradientBoostingRegressor': 50.1955883469,
-    'AdaBoostRegressor': 9.7857142857142865,
+    'AdaBoostRegressor[DecisionTree]': 9.7857142857142865,
+    'AdaBoostRegressor[ExtraTrees]': 33.95238095238095,
     'Lasso': 0.173138653701,
     'Ridge': 2.694020055323081e-05,
     'ElasticNet': 0.0614243397637,
diff --git a/q2_sample_classifier/tests/test_types_formats_transformers.py b/q2_sample_classifier/tests/test_types_formats_transformers.py
index 4fc95f8..1aa9ffd 100644
--- a/q2_sample_classifier/tests/test_types_formats_transformers.py
+++ b/q2_sample_classifier/tests/test_types_formats_transformers.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/tests/test_utilities.py b/q2_sample_classifier/tests/test_utilities.py
index 2aef9f5..0a38aa9 100644
--- a/q2_sample_classifier/tests/test_utilities.py
+++ b/q2_sample_classifier/tests/test_utilities.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/tests/test_visualization.py b/q2_sample_classifier/tests/test_visualization.py
index eb09e89..33eb4da 100644
--- a/q2_sample_classifier/tests/test_visualization.py
+++ b/q2_sample_classifier/tests/test_visualization.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/q2_sample_classifier/utilities.py b/q2_sample_classifier/utilities.py
index 6f57456..334044c 100644
--- a/q2_sample_classifier/utilities.py
+++ b/q2_sample_classifier/utilities.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
@@ -21,7 +21,10 @@ from sklearn.ensemble import (RandomForestRegressor, RandomForestClassifier,
 from sklearn.svm import SVR, SVC
 from sklearn.linear_model import Ridge, Lasso, ElasticNet
 from sklearn.neighbors import KNeighborsClassifier, KNeighborsRegressor
-from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
+from sklearn.tree import (
+    DecisionTreeClassifier, DecisionTreeRegressor,
+    ExtraTreeClassifier, ExtraTreeRegressor
+)
 from sklearn.pipeline import Pipeline
 
 import q2templates
@@ -32,6 +35,7 @@ import pkg_resources
 from scipy.sparse import issparse
 from scipy.stats import randint
 import biom
+import re
 
 from .visuals import (_linear_regress, _plot_confusion_matrix, _plot_RFE,
                       _regplot_from_dataframe, _generate_roc_plots)
@@ -781,32 +785,42 @@ def _select_estimator(estimator, n_jobs, n_estimators, random_state=None):
     return param_dist, estimator
 
 
-def _train_adaboost_base_estimator(table, metadata, column, n_estimators,
-                                   n_jobs, cv, random_state=None,
+def _train_adaboost_base_estimator(table, metadata, column, base_estimator,
+                                   n_estimators, n_jobs, cv, random_state=None,
                                    parameter_tuning=False,
                                    classification=True,
                                    missing_samples='error'):
     param_dist = parameters['ensemble']
+
     if classification:
-        base_estimator = DecisionTreeClassifier()
+        base_est = {
+                    'DecisionTree': DecisionTreeClassifier(),
+                    'ExtraTrees': ExtraTreeClassifier()
+                    }
+        pipe_base_estimator = base_est[base_estimator]
         adaboost_estimator = AdaBoostClassifier
     else:
-        base_estimator = DecisionTreeRegressor()
+        base_est = {
+                    'DecisionTree': DecisionTreeRegressor(),
+                    'ExtraTrees': ExtraTreeRegressor()
+                    }
+        pipe_base_estimator = base_est[base_estimator]
         adaboost_estimator = AdaBoostRegressor
-    base_estimator = Pipeline(
-        [('dv', DictVectorizer()), ('est', base_estimator)])
+
+    estimator = Pipeline(
+        [('dv', DictVectorizer()), ('est', pipe_base_estimator)])
 
     if parameter_tuning:
         features, targets = _load_data(
             table, metadata, missing_samples=missing_samples)
         param_dist = _map_params_to_pipeline(param_dist)
         base_estimator = _tune_parameters(
-            features, targets[column], base_estimator, param_dist,
+            features, targets[column], estimator, param_dist,
             n_jobs=n_jobs, cv=cv, random_state=random_state).best_estimator_
 
     return Pipeline(
-        [('dv', base_estimator.named_steps.dv),
-         ('est', adaboost_estimator(base_estimator.named_steps.est,
+        [('dv', estimator.named_steps.dv),
+         ('est', adaboost_estimator(estimator.named_steps.est,
                                     n_estimators, random_state=random_state))])
 
 
@@ -830,10 +844,11 @@ def _set_parameters_and_estimator(estimator, table, metadata, column,
                                   parameter_tuning, classification=True,
                                   missing_samples='error'):
     # specify parameters and distributions to sample from for parameter tuning
-    if estimator in ['AdaBoostClassifier', 'AdaBoostRegressor']:
+    if estimator.startswith("AdaBoost"):
+        base_estimator = re.search(r"\[([A-Za-z]+)\]", estimator).group(1)
         estimator = _train_adaboost_base_estimator(
-            table, metadata, column, n_estimators, n_jobs, cv, random_state,
-            parameter_tuning, classification=classification,
+            table, metadata, column, base_estimator, n_estimators, n_jobs, cv,
+            random_state, parameter_tuning, classification=classification,
             missing_samples=missing_samples)
         parameter_tuning = False
         param_dist = None
diff --git a/q2_sample_classifier/visuals.py b/q2_sample_classifier/visuals.py
index 6a7f0b1..1cfced6 100644
--- a/q2_sample_classifier/visuals.py
+++ b/q2_sample_classifier/visuals.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
diff --git a/setup.py b/setup.py
index 925f1d4..7244737 100644
--- a/setup.py
+++ b/setup.py
@@ -1,5 +1,5 @@
 # ----------------------------------------------------------------------------
-# Copyright (c) 2017-2022, QIIME 2 development team.
+# Copyright (c) 2017-2023, QIIME 2 development team.
 #
 # Distributed under the terms of the Modified BSD License.
 #