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text grid integration; temp file management

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This commit is contained in:
Jason
2022-04-03 11:25:18 -07:00
parent 906d649a39
commit ca26e3f058
5 changed files with 42 additions and 29 deletions
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load_estimation_model.py
+5 -3
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@@ -26,7 +26,7 @@ class LambdaReduce(LambdaBase):
return reduce(self.lambda_func,self.forward_prepare(input))
def load_estimation_model(inputfilename, outputfilename):
def load_estimation_model(inputfilename, outputfilename, begin, end):
with open(inputfilename, "r") as rf:
contents = rf.read()
contents = contents.split(",")
@@ -54,5 +54,7 @@ def load_estimation_model(inputfilename, outputfilename):
my_prediction = model.forward(data)
with open(outputfilename, "w") as wf:
wf.write("NAME,F1,F2,F3,F4\n")
wf.write(name + "," + str(1000 * float(my_prediction[0][0])) + "," + str(1000 * float(my_prediction[0][1])) + "," + str(1000 * float(my_prediction[0][2])) + "," + str(1000 * float(my_prediction[0][3])))
wf.write("NAME,begin,end,F1,F2,F3,F4\n")
wf.write(name + "," + str(begin) + "," + str(end) + "," + \
str(1000 * float(my_prediction[0][0])) + "," + str(1000 * float(my_prediction[0][1])) + "," + \
str(1000 * float(my_prediction[0][2])) + "," + str(1000 * float(my_prediction[0][3])) + "\n")