diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregen.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregen.py
index 6ee4f62c90135803ce6d788e0cbe6451e6ed3010..b92cd0445867a269dacc2e094ab8f93d1f60bdf1 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregen.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregen.py
@@ -34,13 +34,14 @@ class SCMPregen(scm, BaseMonoviewClassifier, PregenClassifier):
def fit(self, X, y, tiebreaker=None, iteration_callback=None, **fit_params):
pregen_X, _ = self.pregen_voters(X, y)
list_files = os.listdir(".")
- if "pregen_x.csv" in list_files:
- i = 0
- file_name = "pregen_x" + str(i) + ".csv"
+ a = int(np.random.randint(0, 10000))
+ if "pregen_x"+str(a)+".csv" in list_files:
+ a = int(np.random.randint(0, 10000))
+ file_name = "pregen_x" + str(a) + ".csv"
while file_name in list_files:
- i += 1
+ a = int(np.random.randint(0, 10000))
else:
- file_name="pregen_x.csv"
+ file_name = "pregen_x"+str(a)+".csv"
np.savetxt(file_name, pregen_X, delimiter=',')
place_holder = np.genfromtxt(file_name, delimiter=',')
os.remove(file_name)
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregenTree.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregenTree.py
index b2f59c39d6b59feeb8c89aa079e4c20ed7d18b76..9ce31788d118bc99c3c2c0d46deaa5b929268d2d 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregenTree.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregenTree.py
@@ -36,13 +36,14 @@ class SCMPregenTree(scm, BaseMonoviewClassifier, PregenClassifier):
def fit(self, X, y, tiebreaker=None, iteration_callback=None, **fit_params):
pregen_X, _ = self.pregen_voters(X, y, generator="Trees")
list_files = os.listdir(".")
- if "pregen_x.csv" in list_files:
- i = 0
- file_name = "pregen_x" + str(i) + ".csv"
+ a = int(np.random.randint(0, 10000))
+ if "pregen_x"+str(a)+".csv" in list_files:
+ a = int(np.random.randint(0, 10000))
+ file_name = "pregen_x" + str(a) + ".csv"
while file_name in list_files:
- i += 1
+ a = int(np.random.randint(0, 10000))
else:
- file_name = "pregen_x.csv"
+ file_name = "pregen_x"+str(a)+".csv"
np.savetxt(file_name, pregen_X, delimiter=',')
place_holder = np.genfromtxt(file_name, delimiter=',')
os.remove(file_name)
@@ -52,13 +53,14 @@ class SCMPregenTree(scm, BaseMonoviewClassifier, PregenClassifier):
def predict(self, X):
pregen_X, _ = self.pregen_voters(X, generator="Trees")
list_files = os.listdir(".")
- if "pregen_x.csv" in list_files:
- i = 0
- file_name = "pregen_x" + str(i) + ".csv"
+ a = int(np.random.randint(0, 10000))
+ if "pregen_x"+str(a)+".csv" in list_files:
+ a = int(np.random.randint(0, 10000))
+ file_name = "pregen_x" + str(a) + ".csv"
while file_name in list_files:
- i += 1
+ a = int(np.random.randint(0, 10000))
else:
- file_name="pregen_x.csv"
+ file_name = "pregen_x"+str(a)+".csv"
np.savetxt(file_name, pregen_X, delimiter=',')
place_holder = np.genfromtxt(file_name, delimiter=',')
os.remove(file_name)
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsity.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsity.py
index 05f7e25746371b50a91e42a4d389cfc0a3680685..62b8ee8ebaa16ea046810f448231ad0c9484a874 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsity.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsity.py
@@ -43,13 +43,14 @@ class SCMSparsity(BaseMonoviewClassifier, PregenClassifier):
def fit(self, X, y, tiebreaker=None, iteration_callback=None, **fit_params):
pregen_X, _ = self.pregen_voters(X, y)
list_files = os.listdir(".")
- if "pregen_x.csv" in list_files:
- i = 0
- file_name = "pregen_x" + str(i) + ".csv"
+ a = int(np.random.randint(0, 10000))
+ if "pregen_x"+str(a)+".csv" in list_files:
+ a = int(np.random.randint(0, 10000))
+ file_name = "pregen_x" + str(a) + ".csv"
while file_name in list_files:
- i += 1
+ a = int(np.random.randint(0, 10000))
else:
- file_name = "pregen_x.csv"
+ file_name = "pregen_x"+str(a)+".csv"
np.savetxt(file_name, pregen_X, delimiter=',')
place_holder = np.genfromtxt(file_name, delimiter=',')
os.remove(file_name)
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsityTree.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsityTree.py
index e7cbad62c231fe6809b91c85bba40c3557fa2612..bd883c61db2c039791f77788f6d8b8f238d7473b 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsityTree.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsityTree.py
@@ -43,13 +43,14 @@ class SCMSparsityTree(BaseMonoviewClassifier, PregenClassifier):
def fit(self, X, y, tiebreaker=None, iteration_callback=None, **fit_params):
pregen_X, _ = self.pregen_voters(X, y, generator="Trees")
list_files = os.listdir(".")
- if "pregen_x.csv" in list_files:
- i = 0
- file_name = "pregen_x" + str(i) + ".csv"
+ a = int(np.random.randint(0, 10000))
+ if "pregen_x"+str(a)+".csv" in list_files:
+ a = int(np.random.randint(0, 10000))
+ file_name = "pregen_x" + str(a) + ".csv"
while file_name in list_files:
- i += 1
+ a = int(np.random.randint(0, 10000))
else:
- file_name = "pregen_x.csv"
+ file_name = "pregen_x"+str(a)+".csv"
np.savetxt(file_name, pregen_X, delimiter=',')
place_holder = np.genfromtxt(file_name, delimiter=',')
os.remove(file_name)
@@ -64,13 +65,14 @@ class SCMSparsityTree(BaseMonoviewClassifier, PregenClassifier):
def predict(self, X):
pregen_X, _ = self.pregen_voters(X, generator="Trees")
list_files = os.listdir(".")
- if "pregen_x.csv" in list_files:
- i=0
- file_name="pregen_x"+str(i)+".csv"
+ a = int(np.random.randint(0, 10000))
+ if "pregen_x"+str(a)+".csv" in list_files:
+ a = int(np.random.randint(0, 10000))
+ file_name = "pregen_x" + str(a) + ".csv"
while file_name in list_files:
- i+=1
+ a = int(np.random.randint(0, 10000))
else:
- file_name="pregen_x.csv"
+ file_name = "pregen_x"+str(a)+".csv"
np.savetxt(file_name, pregen_X, delimiter=',')
place_holder = np.genfromtxt(file_name, delimiter=',')
os.remove(file_name)