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These feature sets are then fed into the model, which generates predicted labels.

In the rest of this section, we will look at how classifiers can be employed to solve a wide variety of tasks.

Retrain the classifier with these new features, and test its accuracy.

For example: 1 1 ITEM_ETC_GOLD_01 골드(소) xxx xxx xxx_TT_DESC 0 0 3 3 5 0 180000 3 0 1 0 0 255 1 1 0 0 0 0 0 0 0 0 0 0 -1 0 -1 0 -1 0 -1 0 -1 0 0 0 0 0 0 0 100 0 0 0 xxx item\etc\drop_ch_money_xxx xxx xxx 0 2 0 0 1 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1 표현할 골드의 양(param1이상) -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx 0 0 1 4 ITEM_ETC_HP_POTION_01 HP 회복 약초 xxx SN_ITEM_ETC_HP_POTION_01 SN_ITEM_ETC_HP_POTION_01_TT_DESC 0 0 3 3 1 1 180000 3 0 1 1 1 255 3 1 0 0 1 0 60 0 0 0 1 21 -1 0 -1 0 -1 0 -1 0 -1 0 0 0 0 0 0 0 100 0 0 0 xxx item\etc\drop_ch_item\etc\hp_potion_01xxx xxx 50 2 0 0 1 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 120 HP회복양 0 HP회복양(%) 0 MP회복양 0 MP회복양(%) -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx 0 0 1 5 ITEM_ETC_HP_POTION_02 HP 회복약 (소) xxx SN_ITEM_ETC_HP_POTION_02 SN_ITEM_ETC_HP_POTION_02_TT_DESC 0 0 3 3 1 1 180000 3 0 1 1 1 255 3 1 0 0 1 0 110 0 0 0 2 39 -1 0 -1 0 -1 0 -1 0 -1 0 0 0 0 0 0 0 100 0 0 0 xxx item\etc\drop_ch_item\etc\hp_potion_02xxx xxx 50 2 0 0 2 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 220 HP회복양 0 HP회복양(%) 0 MP회복양 0 MP회복양(%) -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx -1 xxx 0 0 The text between the first character(1) and the second character(1/4/5) is not a whitespace,it's a tab. What I want: I want to get the second integer(In the three lines I posted above,the second integers are 1,4 and 5) and the string in the middle of each line indicating the path(It starts with "item\" and ends with the file extension ".ddj"). This matches: "item\If you like regular expressions, I'd recommend using something like Perl next time you want to process files like this. To Char Array()) depending on your version (IIRC) Take care, though.

Pairs of feature sets and labels are fed into the machine learning algorithm to generate a model.

(b) During prediction, the same feature extractor is used to convert unseen inputs to feature sets.

Also I can't search for the first integer,because in case its a small integer like in the three lines I posted above, I wont be able to find the corrent location,because for example "1" might exist in a different location. Open Text("filename.txt"); string line; while ((line = reader. = null) ^ Start of string \d "\d" means "digit" - 0-9. This means we can access it using the Group method. Also, an empty line will throw you into disarray (no pun intended) as the line.split("\t") command will return an array with only a single, empty element. I can't give you the exact code right now but you can test out your expressions using this. To delete an item you could (for example) keep all of the file's contents in memory and write out a new file when the user clicks 'Save'.

My question: It would be the best If I write a program that would delete anything,but what I need. The " " means "one or more." So this means "one or more digits." \t This matches a tab. Like it's already mentioned, I would highly recommend using regular expression (in System. In combo with a solid tool like Regex Buddy, you are looking at handling any complex text record parsing situations, as well as getting results quickly. One way that I've found really useful in situations like this is to go old-school and use the Jet OLEDB provider, together with a file to read large tab-delimited files in using ADO. Obviously, this method is really only useful if you know the format of the file to be imported.

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