From 56de3114a38e824aa03ce795039e286197be2395 Mon Sep 17 00:00:00 2001
From: Tan Tran <tankimtran@gmail.com>
Date: Sun, 11 Oct 2020 17:54:43 -0400
Subject: [PATCH] Revert "Add GridSearchColorPlot tests + minor gridsearch
 change"

This reverts commit 5ebca2618bb05603c2975bfe17de4ce942f976b1.
---
 .../test_base/test_gridsearchcolorplot.png    | Bin 8519 -> 0 bytes
 .../test_base/test_numpy_integration.png      | Bin 11737 -> 0 bytes
 .../test_base/test_pandas_integration.png     | Bin 11737 -> 0 bytes
 .../test_base/test_quick_method.png           | Bin 8479 -> 0 bytes
 tests/test_gridsearch/test_base.py            | 131 ------------------
 yellowbrick/gridsearch/pcolor.py              |   8 +-
 6 files changed, 4 insertions(+), 135 deletions(-)
 delete mode 100644 tests/baseline_images/test_gridsearch/test_base/test_gridsearchcolorplot.png
 delete mode 100644 tests/baseline_images/test_gridsearch/test_base/test_numpy_integration.png
 delete mode 100644 tests/baseline_images/test_gridsearch/test_base/test_pandas_integration.png
 delete mode 100644 tests/baseline_images/test_gridsearch/test_base/test_quick_method.png
 delete mode 100644 tests/test_gridsearch/test_base.py

diff --git a/tests/baseline_images/test_gridsearch/test_base/test_gridsearchcolorplot.png b/tests/baseline_images/test_gridsearch/test_base/test_gridsearchcolorplot.png
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diff --git a/tests/test_gridsearch/test_base.py b/tests/test_gridsearch/test_base.py
deleted file mode 100644
index 45fba6763..000000000
--- a/tests/test_gridsearch/test_base.py
+++ /dev/null
@@ -1,131 +0,0 @@
-# # tests.test_gridsearch.test_base.py
-# # Test the GridSearchColorPlot (standard and quick visualizers).
-# #
-# # Author:   Tan Tran
-# # Created:  Sat Aug 29 12:00:00 2020 -0400
-# #
-# # Copyright (C) 2020 The scikit-yb developers
-# # For license information, see LICENSE.txt
-# #
-
-"""
-Test the GridSearchColorPlot visualizer.
-"""
-
-# ##########################################################################
-# ## Imports
-# ##########################################################################
-
-import pytest
-
-from tests.base import VisualTestCase
-from tests.fixtures import Dataset
-
-from yellowbrick.datasets import load_occupancy
-from yellowbrick.gridsearch import GridSearchColorPlot, gridsearch_color_plot
-
-from sklearn.datasets import make_classification
-from sklearn.svm import SVC
-from sklearn.model_selection import GridSearchCV
-
-import pandas as pd
-
-# ##########################################################################
-# ## Test fixtures
-# ##########################################################################
-
-@pytest.fixture(scope="class")
-def binary(request):
-    """
-    Creates a random binary classification dataset fixture
-    """
-    X, y = make_classification(
-        n_samples=1000,
-        n_features=4,
-        n_informative=2,
-        n_redundant=2,
-        n_classes=2,
-        n_clusters_per_class=2,
-        random_state=1234,
-    )
-
-    request.cls.binary = Dataset(X, y)
-
-@pytest.fixture(scope="class")
-def gridsearchcv(request):
-    """
-    Creates an sklearn SVC, a GridSearchCV for testing through the SVC's kernel,
-    gamma, and C parameters, and returns the GridSearchCV.
-    """
-
-    svc = SVC()
-    grid = [{'kernel': ['rbf'], 'gamma': [1e-3, 1e-4], 'C': [0.01, 0.1, 1, 10]},
-            {'kernel': ['linear'], 'C': [0.01, 0.1, 1, 10]}]
-    gridsearchcv = GridSearchCV(svc, grid, n_jobs=4)
-
-    request.cls.gridsearchcv = gridsearchcv
-
-@pytest.mark.usefixtures("binary", "gridsearchcv")
-class TestGridSearchColorPlot(VisualTestCase):
-    """
-    Tests of basic GridSearchColorPlot functionality
-    """
-
-    # ##########################################################################
-    # ## GridSearchColorPlot Base Test Cases
-    # ##########################################################################
-
-    def test_gridsearchcolorplot(self):
-        """
-        Test GridSearchColorPlot drawing
-        """
-        
-        gs_viz = GridSearchColorPlot(self.gridsearchcv, 'C', 'kernel')
-        gs_viz.fit(self.binary.X, self.binary.y)
-        self.assert_images_similar(gs_viz)
-
-    def test_quick_method(self):
-        """
-        Test gridsearch_color_plot quick method
-        """
-
-        gs = self.gridsearchcv
-
-        # If no X data is passed to quick method, model is assumed to be fit
-        # already 
-        gs.fit(self.binary.X, self.binary.y)
-
-        gs_viz = gridsearch_color_plot(gs, 'gamma', 'C')
-        assert isinstance(gs_viz, GridSearchColorPlot)
-        self.assert_images_similar(gs_viz)
-
-    # ##########################################################################
-    # ## Integration Tests
-    # ##########################################################################
-
-    @pytest.mark.skipif(pd is None, reason="test requires pandas")
-    def test_pandas_integration(self):
-        """
-        Test GridSearchColorPlot on sklearn occupancy data set (as pandas df)
-        """
-        
-        X, y = load_occupancy(return_dataset=True).to_pandas()
-        X, y = X.head(1000), y.head(1000)
-
-        gs_viz = GridSearchColorPlot(self.gridsearchcv, 'C', 'kernel')
-        gs_viz.fit(X, y)
-
-        self.assert_images_similar(gs_viz)
-
-    def test_numpy_integration(self):
-        """
-        Test GridSearchColorPlot on sklearn occupancy data set (as numpy df)
-        """
-
-        X, y = load_occupancy(return_dataset=True).to_numpy()
-        X, y = X[:1000], y[:1000]
-
-        gs_viz = GridSearchColorPlot(self.gridsearchcv, 'C', 'kernel')
-        gs_viz.fit(X, y)
-
-        self.assert_images_similar(gs_viz)
\ No newline at end of file
diff --git a/yellowbrick/gridsearch/pcolor.py b/yellowbrick/gridsearch/pcolor.py
index 890bce53a..eabd1639d 100644
--- a/yellowbrick/gridsearch/pcolor.py
+++ b/yellowbrick/gridsearch/pcolor.py
@@ -68,8 +68,8 @@ def gridsearch_color_plot(model, x_param, y_param, X=None, y=None, ax=None, **kw
 
     Returns
     -------
-    visualizer : GridSearchColorPlot
-        Returns visualizer
+    ax : matplotlib axes
+        Returns the axes that the classification report was drawn on.
     """
     # Instantiate the visualizer
     visualizer = GridSearchColorPlot(model, x_param, y_param, ax=ax, **kwargs)
@@ -80,8 +80,8 @@ def gridsearch_color_plot(model, x_param, y_param, X=None, y=None, ax=None, **kw
     else:
         visualizer.draw()
 
-    # Return the visualizer
-    return visualizer
+    # Return the axes object on the visualizer
+    return visualizer.ax
 
 
 class GridSearchColorPlot(GridSearchVisualizer):