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courses:be5b33prg:homeworks:spam:step1 [2015/10/15 14:48]
xposik [Preparation] 		courses:be5b33prg:homeworks:spam:step1 [2015/11/26 09:13]
xposik [Specifications]
Line 50: Line 50:
 Function ''​read_classification_from_file()''​ (in module ''​utils.py''​) has to conform to the following specifications: ​ Function ''​read_classification_from_file()''​ (in module ''​utils.py''​) has to conform to the following specifications: ​
  
 +^ ''​read_classification_from_file(fpath)''​ ^^
 ^  Input  | The path to the text file (most likely either ''​!truth.txt''​ or ''​!prediction.txt''​) ​ | ^  Input  | The path to the text file (most likely either ''​!truth.txt''​ or ''​!prediction.txt''​) ​ |
 ^  Output ​ | A dictionary containing either ''​SPAM''​ or ''​OK''​ label for each filename in email corpus. ​ | ^  Output ​ | A dictionary containing either ''​SPAM''​ or ''​OK''​ label for each filename in email corpus. ​ |
Line 59: Line 60:
 email03 SPAM email03 SPAM
 email1234 OK email1234 OK
-... 
 </​code>​ </​code>​
 and creates a dictionary (the order of individual "​rows"​ in the following listing is not important): and creates a dictionary (the order of individual "​rows"​ in the following listing is not important):
Line 70: Line 70:
  
 > {{page>​courses:​a4b99rph:​internal:​cviceni:​spam:​tyden07#​read_classification_from_file&​editbtn}} > {{page>​courses:​a4b99rph:​internal:​cviceni:​spam:​tyden07#​read_classification_from_file&​editbtn}}
 +
 +
 +===== Writing classification (predictions) to a file =====
 +
 +Task:
 +  * In module ''​utils.py'',​ create function ''​write_classification_to_file()''​ that will write the (usually predicted) mail classes to a text file.
 +
 +Why do we need it:
 +  * The function will come handy when writing the filter; it can be used to create the ''​!prediction.txt''​ file. 
 +
 +==== Specifications ====
 +Function ''​write_classification_to_file()''​ (in module ''​utils.py''​) should conform to the following specifications: ​
 +
 +^ ''​write_classification_to_file(cls_dict,​ fpath)''​ ^^
 +^  Inputs ​ | (1) dictionary containing the email file names as keys, and email classes (''​SPAM''​ or ''​OK''​) as values.
 +^          | (2) The path to the text file that shall be created. ​ |
 +^  Output ​ | None.  |
 +
 +The following code
 +
 +<code python>
 +>>>​ cls_dict = {'​email1234':​ '​OK',​ '​email03':​ '​SPAM',​ '​email02':​ '​OK',​ '​email01':​ '​OK'​}
 +>>>​ fpath = '​1/​!prediction.txt'​
 +>>>​ write_classification_to_file(cls_dict,​ fpath)
 +</​code>​
 +
 +shall create file ''​!prediction.txt''​ in directory ''​1''​ (the directory must exist) with the following contents:
 +
 +<​code>​
 +email01 OK
 +email02 OK
 +email03 SPAM
 +email1234 OK
 +</​code>​
 +
 +The actual order of individual rows in the file is not important.
 +
 +If the ''​cls_dict''​ is empty, the function shall create an empty file.
 +
  
courses/be5b33prg/homeworks/spam/step1.txt · Last modified: 2015/11/30 15:29 by xposik