From 981e0c788ef950bd356afe5d87ff9744655f849a Mon Sep 17 00:00:00 2001
From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr>
Date: Mon, 1 Apr 2019 23:32:36 -0400
Subject: [PATCH] Avoid multiple temp file to crush themselves
---
.../MonoviewClassifiers/SCMPregen.py | 14 +++++++++++---
.../MonoviewClassifiers/SCMPregenTree.py | 14 +++++++++++---
.../MonoviewClassifiers/SCMSparsity.py | 14 +++++++++++---
.../MonoviewClassifiers/SCMSparsityTree.py | 14 +++++++++++---
4 files changed, 44 insertions(+), 12 deletions(-)
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregen.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregen.py
index f35c0d52..b79606df 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregen.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregen.py
@@ -33,9 +33,17 @@ class SCMPregen(scm, BaseMonoviewClassifier, PregenClassifier):
def fit(self, X, y, tiebreaker=None, iteration_callback=None, **fit_params):
pregen_X, _ = self.pregen_voters(X, y)
- np.savetxt("pregen_x.csv", pregen_X, delimiter=',')
- place_holder = np.genfromtxt("pregen_x.csv", delimiter=',')
- os.remove("pregen_x.csv")
+ list_files = os.listdir(".")
+ if "pregen_x.csv" in list_files:
+ i = 0
+ file_name = "pregen_x" + str(i) + ".csv"
+ while file_name in list_files:
+ i += 1
+ else:
+ file_name="pregen_x.csv"
+ np.savetxt(file_name, pregen_X, delimiter=',')
+ place_holder = np.genfromtxt(file_name, delimiter=',')
+ os.remove(file_name)
super(SCMPregen, self).fit(place_holder, y, tiebreaker=tiebreaker, iteration_callback=iteration_callback, **fit_params)
return self
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregenTree.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregenTree.py
index ad735836..234ca0c3 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregenTree.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMPregenTree.py
@@ -43,9 +43,17 @@ class SCMPregenTree(scm, BaseMonoviewClassifier, PregenClassifier):
def predict(self, X):
pregen_X, _ = self.pregen_voters(X, generator="Trees")
- np.savetxt("pregen_x.csv", pregen_X, delimiter=',')
- place_holder = np.genfromtxt("pregen_x.csv", delimiter=',')
- os.remove("pregen_x.csv")
+ list_files = os.listdir(".")
+ if "pregen_x.csv" in list_files:
+ i = 0
+ file_name = "pregen_x" + str(i) + ".csv"
+ while file_name in list_files:
+ i += 1
+ else:
+ file_name="pregen_x.csv"
+ np.savetxt(file_name, pregen_X, delimiter=',')
+ place_holder = np.genfromtxt(file_name, delimiter=',')
+ os.remove(file_name)
return self.classes_[self.model_.predict(place_holder)]
def get_params(self, deep=True):
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsity.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsity.py
index 31951785..bd354136 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsity.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsity.py
@@ -55,9 +55,17 @@ class SCMSparsity(BaseMonoviewClassifier, PregenClassifier):
def predict(self, X):
pregen_X, _ = self.pregen_voters(X,)
- np.savetxt("pregen_x.csv", pregen_X, delimiter=',')
- place_holder = np.genfromtxt("pregen_x.csv", delimiter=',')
- os.remove("pregen_x.csv")
+ list_files = os.listdir(".")
+ if "pregen_x.csv" in list_files:
+ i = 0
+ file_name = "pregen_x" + str(i) + ".csv"
+ while file_name in list_files:
+ i += 1
+ else:
+ file_name="pregen_x.csv"
+ np.savetxt(file_name, pregen_X, delimiter=',')
+ place_holder = np.genfromtxt(file_name, delimiter=',')
+ os.remove(file_name)
self.preds = [scm_estimator.predict(place_holder) for scm_estimator in self.scm_estimators]
return self.preds[-1]
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsityTree.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsityTree.py
index 4e717c38..2fbd7c39 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsityTree.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/SCMSparsityTree.py
@@ -55,9 +55,17 @@ class SCMSparsityTree(BaseMonoviewClassifier, PregenClassifier):
def predict(self, X):
pregen_X, _ = self.pregen_voters(X, generator="Trees")
- np.savetxt("pregen_x.csv", pregen_X, delimiter=',')
- place_holder = np.genfromtxt("pregen_x.csv", delimiter=',')
- os.remove("pregen_x.csv")
+ list_files = os.listdir(".")
+ if "pregen_x.csv" in list_files:
+ i=0
+ file_name="pregen_x"+str(i)+".csv"
+ while file_name in list_files:
+ i+=1
+ else:
+ file_name="pregen_x.csv"
+ np.savetxt(file_name, pregen_X, delimiter=',')
+ place_holder = np.genfromtxt(file_name, delimiter=',')
+ os.remove(file_name)
self.preds = [scm_estimator.predict(place_holder) for scm_estimator in self.scm_estimators]
return self.preds[-1]
--
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