Change default seed to reflect updated defaults in dip repo

Author: samronsin

dataikuapi/dss/ml.py

@@ -493,7 +493,7 @@ def strategy(self, strategy):
         assert strategy in {"GRID", "RANDOM", "BAYESIAN"}
         self._raw_settings["strategy"] = strategy
 
-    def set_grid_search(self, shuffle=True, seed=0):
+    def set_grid_search(self, shuffle=True, seed=1337):
         """
         Sets the search strategy to "GRID" to perform a grid-search on the hyperparameters.
 
@@ -512,7 +512,7 @@ def set_grid_search(self, shuffle=True, seed=0):
                 self._raw_settings["randomized"] = shuffle
         self._set_seed(seed)
 
-    def set_random_search(self, seed=0):
+    def set_random_search(self, seed=1337):
         """
         Sets the search strategy to "RANDOM" to perform a random search on the hyperparameters.
 
@@ -522,7 +522,7 @@ def set_random_search(self, seed=0):
         self._raw_settings["strategy"] = "RANDOM"
         self._set_seed(seed)
 
-    def set_bayesian_search(self, seed=0):
+    def set_bayesian_search(self, seed=1337):
         """
         Sets the search strategy to "BAYESIAN" to perform a Bayesian search on the hyperparameters.
 
@@ -565,7 +565,7 @@ def cv_seed(self, seed):
         """
         self._set_cv_seed(seed)
 
-    def set_kfold_validation(self, n_folds=5, stratified=True, cv_seed=0):
+    def set_kfold_validation(self, n_folds=5, stratified=True, cv_seed=1337):
         """
         Sets the validation mode to k-fold cross-validation (either "KFOLD" or "TIME_SERIES_KFOLD" if time-based ordering
         is enabled).
@@ -593,7 +593,7 @@ def set_kfold_validation(self, n_folds=5, stratified=True, cv_seed=0):
                 self._raw_settings["stratified"] = stratified
         self._set_cv_seed(cv_seed)
 
-    def set_single_split_validation(self, split_ratio=0.8, stratified=True, cv_seed=0):
+    def set_single_split_validation(self, split_ratio=0.8, stratified=True, cv_seed=1337):
         """
         Sets the validation mode to single split (either "SHUFFLE" or "TIME_SERIES_SINGLE_SPLIT" if time-based ordering
         is enabled).