与「cross validation」相关的 PHP Composer 包

本页汇总了 Packagist 中所有与 cross validation 方向相关的 PHP Composer 包,按下载量倒序排列,便于你快速找到最主流、活跃度最高的包。

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naucon/form

The Package provides a form component for php to process and validate html forms. A form helper is also included to render your form in html markup (php oder smarty templates).

版本: 下载:13.4k Stars:5 点击:23

时间:2017-05-25 14:01

naucon/form-bundle

Bundle to integrate naucon form package into the Symfony framework.

版本: 下载:13.03k Stars:2 点击:21

时间:2017-05-25 14:17

rubix/divorce

Use the K Nearest Neighbors algorithm to predict the probability of a divorce.

版本: 下载:454 Stars:17 点击:20

时间:2020-06-18 19:10

rubix/iris

An introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.

版本: 下载:390 Stars:35 点击:10

时间:2020-06-18 19:12

rubix/cifar-10

Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

版本: 下载:266 Stars:59 点击:14

时间:2020-06-18 19:08

rubix/credit

An example project that predicts the risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset of credit card customers.

版本: 下载:215 Stars:36 点击:18

时间:2020-06-18 19:10

rubix/dota2

Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and the results of 102,944 sample games.

版本: 下载:196 Stars:16 点击:15

时间:2020-06-18 19:11

rubix/mnist

Handwritten digit recognizer using a feed forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

版本: 下载:185 Stars:41 点击:14

时间:2020-06-18 18:54

rubix/colors

Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

版本: 下载:179 Stars:18 点击:17

时间:2020-06-18 19:09

rubix/har

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

版本: 下载:132 Stars:25 点击:19

时间:2020-06-18 19:11

gaomingcode/jquery.fileupload

File Upload widget with multiple file selection, drag&drop support, progress bar, validation and preview images, audio and video for jQuery. Supports cross-domain, chunked and resumable file uploads. Works with any server-side platform (Google App Engine, PHP, Python, Ruby on Rails, Java, etc.) that

版本: 下载:9 Stars:0 点击:17

时间:2021-06-30 03:30

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