php-ml | PHP Machine Learning library | Machine Learning library
kandi X-RAY | php-ml Summary
kandi X-RAY | php-ml Summary
PHP Machine Learning library
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Top functions reviewed by kandi - BETA
- Compute Hqr2 - 2 .
- Returns a function which is used to calculate the cost function .
- Expand a set of samples .
- Find a leaf node in the tree
- Calculate the mean of a given dataset .
- Get the best split point for a given column .
- Get alpha value
- Get the HTML for this node .
- Iterate over clusters .
- Calculate the mean of each class .
php-ml Key Features
php-ml Examples and Code Snippets
Community Discussions
Trending Discussions on php-ml
QUESTION
I try to find out how to work with PHP-ML when i want to recommend some items to current customer.
My dataset (numeration is only the number of the row):
- Product 1 was purchased together with Product 2
- Product 1 was purchased together with Product 2
- Product 1 was purchased together with Product 3
- Product 1 was purchased together with Product 2
- Product 2 was purchased together with Product 4
- Product Y.. was purchased together with Product X..
As a customer i had bought in the past Product 1. So normally i would expect in my recommendation box product 2 because 3 people bought it together with product 1.
I think i need here some regression algorythm which give me some correlation value between product X and product Y.
I thought about the linear SVR algorythm but i have no idea how to train it?
...ANSWER
Answered 2018-May-28 at 14:32First of all you don't need linear regression here and if you needed that you would have to convert the categorical data in order to do a numeric prediction. Typically you would use dummy variables, that means that your table would convert from:
QUESTION
Problem:
I have a door of 2000mm height.
I have 2 types of panels to build the door:
615mm standard panels and 495mm standard panels.
For the above height, my optimal solution would have to be:
1 x 615mm panel standard
2 x 495mm panel standard
1 x 495mm panel from which I cut 100mm to reach the 2000mm height. Here is the best solution to cut from 495 instead of 615mm because it would be a lost of too much material.
Example: 1845mm height -
Optimal solution is:
3 x 615mm panels ( 3x 615mm = 1845mm).
Another example:
3000mm height -
Optimal solution:
4 x 615mm panels
1 x 540mm panel (default 615mm from which is cut 75mm to fill the 3000mm height)
My question is, can I use any algorythm from PHP-ML library to train and predict solutions for input given (height, in my case). If the answer is yes, which algorithm is best suitable for my case?
Classification
SVC or k-Nearest Neighbors or Naive Bayes
Please see the pic i attached. You will understand what I want to say.
I want to use that Library so it can return me several solutions for given height, and an optimal one.
...ANSWER
Answered 2018-Jan-26 at 15:59Your specific task is could be easily brute forced, check it online: https://3v4l.org/dQmdb
Here is a code:
QUESTION
I am using notepad++. I have installed composer and from command line I have tried to install the php-ai/php-ml using the following line of code composer require php-ai/php-ml
. My cmd tells me that this is successfully installed and everything seems okay.
However, in my index.php file if I try to use any of the libraries in the package php-ai/php-ml for example: use Phpml\Dataset\CsvDataset;
I get the following error:
Fatal error: Uncaught Error: Class 'Phpml\Dataset\CsvDataset' not found in C:\xampp\htdocs\test\index.php:5 Stack trace: #0 {main} thrown in C:\xampp\htdocs\test\index.php on line 5
Line 5 is the line which i request to use the library. Do i have to import these libraries or anything?
...ANSWER
Answered 2017-Apr-28 at 09:28Have you required the vendor/autoload.php file first in your script? This is required to auto load the classes from composer.
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