I have already programmed a football manager game some years ago with a lot functionality (Sent it to Gamestar for free publishing but was rejected because of copyrights).
I have one section in the game on that I am not really satisfied because I have no clue what would be the best fit to model it.
I have a vector of pairs for all days of one calendar year:
std::vector<std::pair<Competition*, TDate>> year_plan;
E.g. there can be following entries inside pointing to a Competion class instance and a date:
CHAMPIONS_LEAGUE_DRAW, 12.03.2022
CHAMPIONS_LEAGUE, 15.03.2022
FIRST_LEAGUE, 19.03.2022
SECOND_LEAGUE, 19.03.2022
--> As you can see, there can be several competitions at the same day!
The program logic is just processing the year_plan date by date and takes the action required on the specific competition on simulating results or simulating the draws. This perfectly works, but somehow it does not feel right this way.
For that reason I have two questions on that:
Would it not make more sense to have a one year Calendar class and instances for every Competion occurence in it? (One instance per day is not enough because of having soemtimes more than one competitions per day). This would also allow to store additional information in the instance like counter for the matchday, round etc.
The Competitions I currently have are LeagueCompetions, CupCompetitions, Draws. All these three competitions types have some parts in common but need also special class members and methods. Draw competitions need much less information to be stored. As I need to store the Competition in the Calendar vector / class, I need somehow one class forr all three competition types. Should I use here inheritance approach even I need a specialization of the classes in addition to the common parts?
Thanks in advance for any suggestions
Mauro
I try to distribute x jobs among y persons using reinforcement learning (DQN).
Every person can have a specific amount of tasks and every task can only be done once.
I mask out all the non possible task for each person for example if a task is already choosen it will just be masked out (So the output size stays the same)
I preprocess my data by combining the features of the person with the features of the task. For example I would substract the timeslots: A Person has 4 timeslots left and the task needs 2 the resulting feature would be 2. I do this for every person and with every task resulting in one big matrix where the #rows = #persons and #colums = #tasks * #features.
Now I want to give my network as many information as possible meaning the whole matrix but I am unsure on how to do it.
One possible idea would be to make one big flatten array but the problems would be that the amount of persons can change and also that I can only choose one task at a time for one person so I would need to tell the network which person is the active one.
Another approach would be something like "Hey I have a sequence lets use RNN" but I am not sure how to teach the network which is the current person. I also think this would lead the network to give me the best task over all persons. But it should learn something like "If the task is better for another person don't choose it for the active one".
The output of my network are the actions(tasks) where I choose the maximum.
Maybe some smart person has an idea. Thanks for your help.
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I want to read orders from order.txt which is;
Chocolate Chip Cookies 1 2
Orange Jelly Candy 2 7
Chocolate ice cream 3 11
Cake Mix Cookies 1 10
And decide if there is enough product from stock.txt which is;
Name Type ItemCount Price
Chocolate Chip Cookies 1 4 600
Orange Jelly Candy 2 5 150
Cake Mix Cookies 1 12 180
Peanut Butter Chocolate Chip Cookies 1 3 120
Chocolate ice cream 3 2 240
Gummi bears 2 15 300
Raspberry Ripple 3 12 250
Alignment is given like that. What is the best way to do it? Is there anything to read from a file which I can store in a way like product name/ number/ price?
Thank you.
I don't understand what the second and third column signify, I assume one of them is order size.
There are many ways to do this and my method might not be the best in all cases but at least it should work in yours:
Read the stock.txt file, you can look at this example but it doesn't really matter what method you use. The important thing is to get the information as a variable into the program. Hopefully your text files uses a tab to separate the fields (this information is lost in the question).
Put the information you get into a std::map, call it orders, use the name as key and the ItemCount as value.
Now read the information in order.txt, use the key to look up the value in your orders.
Check that ItemCount is at least a large as the order size.
In a real world application you would use a Database to store the data of your stock and would write a class order which gets its values from the databas. However i dont think you want to have that much effort so here's a esier way:
Your stock data gets saved in a simple excel table and the order is a textfile
Order.txt:
Beer 1|Paint 5|Oil 3|.....
Use the | as markers to create substrings of the individual products in the order
Bsp. ProductName quantity id|ProductName2 quantity id2|....
As for the excel table you have to to a little research yourself but editing files with a filereader isn't that hard though.
Hope i can help
Suppose I want to do some data mining on the database of a supermarket. What does that actually mean?
1) What will the output/results be like?
2) Will the output be different every day or change over time?
3) Before applying data mining, do I need to know what I want or will data mining give everything I want automatically?
Data Mining is a general category of techniques that can be applied to different kinds of datasets, just like programming is a general category of techniques that can be applied using different languages to do different things.
None of your questions make any sense.
A1: Data mining will give us an accurate reports about your queries of database of supermarket.
A2: Sure, because Data mining depend on analyzing during time, in this case it depend on your problems or goals that you want to reach it. if your database was very big also you built data warehouse in right way you will get the different output over time.
A3: yes you should determine what are the problems you have to mine then use tools of Data mining to get the results or indicators automatically.
To answer your first question: For the case of supermarket customer data, I could image the following questions:
how many products X are usually sold on Fridays ?
(helps you to determine how many X you should have in stock)
which customers bought product X often in the last month/year ?
Useful when when you introduce a new X-like product: send advertising material (which has a given cost) only to those customers.
given a customer buys product X (e.g. beer) what's the probability that he/she also buys product Y (e.g. chips) ?
useful for the following: make sure X and Y never are on promotional offer at the same time (X and Y are bought together often). Get the customers into the store by offering a rebate on X knowing they'll also by Y at the same time. Or: put a high price X-like product right next to Y, putting the cheaper X somewhere else.
which neighborhoods have the smallest number of customers ?
helps to find out which neighborhoods you could target with advertising to bring more customers into the store.
Often, by 'asking certain questions to the data' one discovers some features and comes up with new questions.
Data mining is a set of techniques. It refers to discovering interesting and unexpected patterns in data.
If you want to apply some data mining techniques, you need to know which one and you should know why. The answer to questions 1, 2 and 3 depends on the techniques that you choose.
For example, if i want to find associations between items sold in a supermarket, i may use association rule mining. If i want to find groups of similar customers, I might use a clustering algorithm. etc.
There is not just ONE technique in data mining.
Is there a web service or a tool to detect if what a certain text is the name or a person, a place or an object (device).
eg:
Input: Bill Clinton Output: Person
Input: Blackberry Output: Device
Input: New york Output: Place
Accuracy can be low. I have looked at opencyc but I couldnt get it to work. Is there a way I can use WikiPedia for this?
For a start separating a person or a thing will be great.
I think wikipedia would be a very good source. Given the input, you could try and find an entry in wikipedia and scrape the resulting page (if it exists).
Persons and Places should have fairly distinct sets of data - birthdates, locations, etc in the article that you could use to tell them apart, and anything else is an object.
It's worth a shot anyway.
Looking at the output of Wolfram Alpha, it seems that you can possibly identify a person by searching Bill Clinton Birthday or just Bill Clinton, or you can identify a location by searching New York GPS coordinates or just New York, for even better results. Blackberry seems like a tough word for Alpha, because it keeps wanting to interpret it as a fruit. You might have luck searching Froogle to identify a device.
It seems like WA will give you a fairly decent accuracy, at least if you're using famous people/places.
How about using a search engine? Google would be good, and I think Yahoo! has tools for building your own search.
I googled:
Results 1 - 10 of about 27,100,000 for "bill clinton" person
Results 1 - 10 of about 6,050,000 for "bill clinton" place
Results 1 - 10 of about 601,000 for "bill clinton" device
He's a person!
Results 1 - 10 of about 391,000,000 for "new york" place.
Results 1 - 10 of about 280,000,000 for "new york" person.
Results 1 - 10 of about 84,100,000 for "new york" device.
It's a place!
Results 1 - 10 of about 11,000,000 for "blackberry" person
Results 1 - 10 of about 36,600,000 for "blackberry" place
Results 1 - 10 of about 28,000,000 for "blackberry" device
Unfortunately, blackberry is a place as well. :-/
Note that only in the case of 'blackberry' did "device" even get close. Maybe you need to weight the page hit values. What is your application? Do you have any idea which "devices" you'd have to classify? What is the possible range of inputs?
Maybe you want to combine the results you get from different sources.
I think the basic task you're trying to accomplish is more formally known as named entity recognition. This task is nontrivial, and by only inputting the name stripped of any context, you're making it even harder.
For example, we'd like to think examples such as "Bill Clinton" and "New York" are obviously unambiguous, but looking at their disambiguation pages in Wikipedia shows that there are several potential entities they may refer to. "New York" is both a state, city, and movie title. "Bill Clinton" is a bit less ambiguous if you're only looking at Wikipedia, but I'm sure you'll find dozens of Bill Clintons in any phonebook. It might also be the name of someone's sailboat or pet dog. What if someone inputs "Washington"? That could be both a U.S. President, state, district, city, lake, street, island, movie, one of several U.S. navy ships, bridge, as well as other things. Determining which is the "correct" usage you'd want the webservice to return could become very complicated.
As much as Cyc knows, I think you'll find it's still not as comprehensive as Wikipedia. However, the main downside to Wikipedia is that it's essentially unstructured. Personally, I find Cyc's API so convoluted and poorly documented, that parsing Wikipedia's natural language almost seems easier.
If I had to implement such a webservice from scratch, I'd start by downloading a snapshot of Wikipedia, and then writing a parser that would read through all the articles, and generate a named entity index based on article titles. You could manually "classify" a few dozen examples as person/place/object, and train a classifier (Bayesian,Maxent,SVM) to automatically classify other examples based on the word frequencies of their articles.