diff --git a/openmlpimp/plot/kde.py b/openmlpimp/plot/kde.py
index ac03761..6c82016 100644
--- a/openmlpimp/plot/kde.py
+++ b/openmlpimp/plot/kde.py
@@ -6,11 +6,9 @@
 import openmlpimp
 import os
 import matplotlib.pyplot as plt
-import warnings
 
 from scipy.stats import rv_discrete
 
-import autosklearn.constants
 from ConfigSpace.hyperparameters import CategoricalHyperparameter, NumericalHyperparameter
 from autosklearn.util.pipeline import get_configuration_space
 
diff --git a/openmlpimp/utils/config_space.py b/openmlpimp/utils/config_space.py
index 738c5de..15a3d9d 100644
--- a/openmlpimp/utils/config_space.py
+++ b/openmlpimp/utils/config_space.py
@@ -52,11 +52,11 @@ def get_config_space_casualnames(classifier, fixed_parameters=None):
             continue
 
         if isinstance(hyperparameter, ConfigSpace.CategoricalHyperparameter):
-            config_space_prime.add_hyperparameter(ConfigSpace.CategoricalHyperparameter(casualname, hyperparameter.choices, default=hyperparameter.default))
+            config_space_prime.add_hyperparameter(ConfigSpace.CategoricalHyperparameter(casualname, hyperparameter.choices, default_value=hyperparameter.default_value))
         elif isinstance(hyperparameter, ConfigSpace.UniformIntegerHyperparameter):
-            config_space_prime.add_hyperparameter(ConfigSpace.UniformIntegerHyperparameter(casualname, hyperparameter.lower, hyperparameter.upper, log=hyperparameter.log, default=hyperparameter.default))
+            config_space_prime.add_hyperparameter(ConfigSpace.UniformIntegerHyperparameter(casualname, hyperparameter.lower, hyperparameter.upper, log=hyperparameter.log, default_value=hyperparameter.default_value))
         elif isinstance(hyperparameter, ConfigSpace.UniformFloatHyperparameter):
-            config_space_prime.add_hyperparameter(ConfigSpace.UniformFloatHyperparameter(casualname, hyperparameter.lower, hyperparameter.upper, log=hyperparameter.log, default=hyperparameter.default))
+            config_space_prime.add_hyperparameter(ConfigSpace.UniformFloatHyperparameter(casualname, hyperparameter.lower, hyperparameter.upper, log=hyperparameter.log, default_value=hyperparameter.default_value))
         else:
             raise ValueError()
     return config_space_prime
diff --git a/openmlpimp/utils/connect.py b/openmlpimp/utils/connect.py
index 9e14a67..a429a43 100644
--- a/openmlpimp/utils/connect.py
+++ b/openmlpimp/utils/connect.py
@@ -7,7 +7,7 @@
 
 from openml.exceptions import OpenMLServerException
 
-from ConfigSpace.io.pcs_new import write
+from ConfigSpace.read_and_write.pcs_new import write
 from ConfigSpace.hyperparameters import CategoricalHyperparameter, UniformFloatHyperparameter, \
     UniformIntegerHyperparameter
 
diff --git a/openmlpimp/utils/search.py b/openmlpimp/utils/search.py
index 7a88989..0543e08 100644
--- a/openmlpimp/utils/search.py
+++ b/openmlpimp/utils/search.py
@@ -20,7 +20,7 @@
 from sklearn.model_selection._split import check_cv
 from sklearn.model_selection._validation import _fit_and_score
 from sklearn.externals.joblib import Parallel, delayed
-from sklearn.utils.fixes import rankdata
+from sklearn.utils.stats import rankdata
 from sklearn.utils.fixes import MaskedArray
 from sklearn.utils.validation import indexable
 from sklearn.metrics.scorer import check_scoring