From c5379afd17725f29afb6f93a66f895f71848ec6f Mon Sep 17 00:00:00 2001
From: Daniele Ongari <daniele.ongari@gmail.com>
Date: Tue, 9 Jul 2024 20:37:16 +0200
Subject: [PATCH] Release v0.7 (#115)

* test on py310

* test on py39

* fix deprecated base_estimator

* bump version
---
 .github/workflows/docbuild.yml      | 2 +-
 .github/workflows/pythonpackage.yml | 2 +-
 README.md                           | 2 --
 examples/plot_mpg_svr.py            | 2 +-
 forestci/tests/test_forestci.py     | 2 +-
 forestci/version.py                 | 2 +-
 6 files changed, 5 insertions(+), 7 deletions(-)

diff --git a/.github/workflows/docbuild.yml b/.github/workflows/docbuild.yml
index 4fe99f7..b21f431 100644
--- a/.github/workflows/docbuild.yml
+++ b/.github/workflows/docbuild.yml
@@ -9,7 +9,7 @@ jobs:
     strategy:
       max-parallel: 4
       matrix:
-        python-version: [3.7]
+        python-version: [3.9]
 
     steps:
     - name: Checkout repo
diff --git a/.github/workflows/pythonpackage.yml b/.github/workflows/pythonpackage.yml
index 71cdeec..65ae410 100644
--- a/.github/workflows/pythonpackage.yml
+++ b/.github/workflows/pythonpackage.yml
@@ -9,7 +9,7 @@ jobs:
     strategy:
       max-parallel: 4
       matrix:
-        python-version: [3.7, 3.8]
+        python-version: [3.9]
 
     steps:
     - uses: actions/checkout@v1
diff --git a/README.md b/README.md
index e369f32..764a5be 100644
--- a/README.md
+++ b/README.md
@@ -15,8 +15,6 @@ implemented in scikit-learn random forest regression or classification objects.
 The core functions calculate an in-bag and error bars for random forest
 objects.
 
-Compatible with Python2.7 and Python3.6
-
 This module is based on R code from Stefan Wager (see important links below)
 and is licensed under the MIT open source license (see [LICENSE](LICENSE))
 
diff --git a/examples/plot_mpg_svr.py b/examples/plot_mpg_svr.py
index 070cf77..2b687e1 100644
--- a/examples/plot_mpg_svr.py
+++ b/examples/plot_mpg_svr.py
@@ -39,7 +39,7 @@
 # Create RandomForestRegressor
 n_estimators = 1000
 mpg_bagger = BaggingRegressor(
-    base_estimator=SVR(), n_estimators=n_estimators, random_state=42
+    estimator=SVR(), n_estimators=n_estimators, random_state=42
 )
 mpg_bagger.fit(mpg_X_train, mpg_y_train)
 mpg_y_hat = mpg_bagger.predict(mpg_X_test)
diff --git a/forestci/tests/test_forestci.py b/forestci/tests/test_forestci.py
index 32d8beb..f6754b4 100644
--- a/forestci/tests/test_forestci.py
+++ b/forestci/tests/test_forestci.py
@@ -91,7 +91,7 @@ def test_bagging_svr_error():
     X_train = X[train_idx]
 
     n_trees = 4
-    bagger = BaggingRegressor(base_estimator=SVR(), n_estimators=n_trees)
+    bagger = BaggingRegressor(estimator=SVR(), n_estimators=n_trees)
     bagger.fit(X_train, y_train)
     inbag = fci.calc_inbag(X_train.shape[0], bagger)
     for ib in [inbag, None]:
diff --git a/forestci/version.py b/forestci/version.py
index 14b9f91..d1794ed 100644
--- a/forestci/version.py
+++ b/forestci/version.py
@@ -2,7 +2,7 @@
 _version_major = 0
 _version_minor = 7
 _version_micro = ''  # use '' for first of series, number for 1 and above
-_version_extra = 'dev'
+_version_extra = ''
 #  _version_extra = ''  # Uncomment this for full releases
 
 # Construct full version string from these.