diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 2fd40a29..bec2ba93 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -312,7 +312,7 @@ RUN pip install mpld3 && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
     pip install stemming && \
-    pip install prophet && \
+    pip install prophet==1.1.1 && \
     pip install holoviews && \
     pip install geoviews && \
     pip install hypertools && \
@@ -478,7 +478,6 @@ RUN pip install flashtext && \
     pip install pandasql && \
     pip install tensorflow_hub && \
     pip install jieba  && \
-    pip install git+https://github.com/SauceCat/PDPbox && \
     # ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668
     pip install https://github.com/hbasria/ggpy/archive/0.11.5.zip && \
     pip install cesium && \
diff --git a/tests/test_pdpbox.py b/tests/test_pdpbox.py
deleted file mode 100644
index d820f5b0..00000000
--- a/tests/test_pdpbox.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import numpy as np
-import pandas as pd
-from pdpbox import pdp
-import unittest
-from sklearn.model_selection import train_test_split
-from sklearn.tree import DecisionTreeClassifier
-
-class TestPdpbox(unittest.TestCase):
-    def test_simple_pdp(self):
-        # set up data
-        data = pd.read_csv("/input/tests/data/fifa_2018_stats.csv")
-        y = (data['Man of the Match'] == "Yes")
-        feature_names = [i for i in data.columns if data[i].dtype in [np.int64]]
-        X = data[feature_names]
-        train_X, val_X, train_y, val_y = train_test_split(X, y, random_state=1)
-        # Build simple model
-        tree_model = DecisionTreeClassifier(random_state=0,
-                                            max_depth=3).fit(train_X, train_y)
-
-        # Set up pdp as table
-        pdp_goals = pdp.pdp_isolate(model=tree_model,
-                                    dataset=val_X,
-                                    model_features=feature_names,
-                                    feature='Goal Scored')
-        # make plot
-        pdp.pdp_plot(pdp_goals, 'Goal Scored')