minmax

Use MinMaxScaler on training data to generate std, min and max to be used on testing data

由 会有一股神秘感。 提交于 2019-12-11 05:56:55
问题 How would I use the scikit-learn MinMaxScaler to standardize every column in a pandas data-frame training data set, but use the exact same standard deviation, min/max formula on my test data set? Since my testing data is unknown to the model, I dont want to standardize the whole data set, it would not be an accurate model for future unknown data. Instead I would like to standardize the data between 0 & 1 using the training set, and use the same std, min and max numbers for the formula on the

Minimax optimization in PICOS

由 梦想与她 提交于 2019-12-10 12:06:37
问题 I have a generic question on how to solve optimization problems of the Min-Max type, using the PICOS package in Python. I found little information in this context while searching the PICOS documentation and on the web as well. I can imagine a simple example of the below form. Given a matrix M, find x* = argmin_x [ max_y x^T M y ], where x > 0, y > 0, sum(x) = 1 and sum(y) = 1. I have tried a few methods, starting with the most straightforward idea of having minimax , minmax keywords in the

Tron lightcycles AI in Prolog

由 梦想与她 提交于 2019-12-10 11:15:34
问题 I have the problem to write the AI to game(like tron lightcycles). I write all the graphics and movements on C using ncurses. Now i need to write the bot's ai on the prolog. I'm using swi prolog. I save the current game field(all matrix), current human position and current bot position(like matrix cells i, j). They saves like predicats in the .pl file from c. My game field is a matrix which contains 1 and 0( 1 - visited, 0 - unvisited ). Like this: human_current_position(0,1). bot_current

Getting the min, max, and ave of the five numbers inputted

由 眉间皱痕 提交于 2019-12-08 08:32:08
问题 I'm trying to work on a program in C that gets 5 input numbers and then store these in an array. After getting the the 5 numbers, I must be getting the min, max and the average of the MINIMUN AND MAXIMUM numbers inputted and not all of the five. So here's the code that I made. When I get the maximum number, it seems to be working fine. But when it come's to the min, it's still same as the maximum and so I'll be getting a different average. #include <stdio.h> #include <conio.h> int main() {

Implementing and using MinMax with four in row (connect4) game

由 只谈情不闲聊 提交于 2019-12-08 03:33:00
问题 I'm trying to implement the MinMax algorithm for four in a row (or connect4 or connect four) game. I think I got the idea of it, it should build a tree of possible boards up to a certain depth, evaluate them and return their score, then we just take the max of those scores. So, aiChooseCol() checks the score of every possible column by calling MinMax() and returns the column with the max score. Now I wasn't sure, is this the right way to call MinMax() ? Is it right to check temp = Math.Max

Getting the min, max, and ave of the five numbers inputted

由 无人久伴 提交于 2019-12-07 04:07:28
I'm trying to work on a program in C that gets 5 input numbers and then store these in an array. After getting the the 5 numbers, I must be getting the min, max and the average of the MINIMUN AND MAXIMUM numbers inputted and not all of the five. So here's the code that I made. When I get the maximum number, it seems to be working fine. But when it come's to the min, it's still same as the maximum and so I'll be getting a different average. #include <stdio.h> #include <conio.h> int main() { int num[5]; int counter, min, max=0; float average, total; min=num; for(counter=1; counter<=5; counter++)

Finding the best move using MinMax with Alpha-Beta pruning

由 若如初见. 提交于 2019-12-03 07:47:12
I'm working on an AI for a game and I want to use the MinMax algorithm with the Alpha-Beta pruning . I have a rough idea on how it works but I'm still not able to write the code from scratch, so I've spend the last two days looking for some kind of pseudocode online. My problem is that every pseudocode I've found online seems to be based on finding the value for the best move while I need to return the best move itself and not a number. My current code is based on this pseudocode ( source ) minimax(level, player, alpha, beta){ // player may be "computer" or "opponent" if (gameover || level ==

Deep copying an array c# without serialization

由 删除回忆录丶 提交于 2019-12-01 21:41:27
Basically I have the problem that my MinMax algorithm isn't really working as intended. What I need is to make my array pieces be copied to newPieces so that pieces isn't changed when newPieces is. Here is an extract of the MinMax algorithm: private int MinMax( int depth, Piece[] pieces, bool blacksTurn, List<Move> Moves, Game game, int alpha, Move nextMove) { Piece[] newPieces=new Piece[24]; Moves=Game.possibleMoves(pieces, blacksTurn, false); if(depth==0||Moves.Count==0) { return Evaluation(ref pieces); } int value; if(blacksTurn==true) { foreach(Move i in Moves) { newPieces=DeepCopy

denormalize data

由 谁说胖子不能爱 提交于 2019-12-01 14:03:20
I normalized data with the minimum and maximum with this R code: normalize <- function(x) { return ((x - min(x)) / (max(x) - min(x))) } mydata <- as.data.frame(lapply(mydata , normalize)) How can I denormalize the data ? Essentially, you just have to reverse the arithmetic: x1 = (x0-min)/(max-min) implies that x0 = x1*(max-min) + min . However, if you're overwriting your data, you'd better have stored the min and max values before you normalized, otherwise (as pointed out by @MrFlick in the comments) you're doomed. Set up data: dd <- data.frame(x=1:5,y=6:10) Normalize: normalize <- function(x)

Min and Max of a List in Python (without using min/max function)

由 安稳与你 提交于 2019-12-01 01:52:41
I was wondering if there is a way to find min & max of a list without using min/max functions in Python. So i wrote a small code for the same using recursion. My logic is very naive: I make two stacks (min_stack and max_stack) which keep track of minimum and maximum during each recursive call. I have two questions: Could somebody help me estimate the complexity of my code? Is there a better way to do this? Will sorting the list using mergesort/quicksort and picking up first and last element give a better performance? Thank you Here is my attempt in Python: minimum = [] maximum = [] # Defining
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