Programmer Group

Decision tree is the basic building block of gradient elevator and random forest. Visual decision tree is very helpful in learning the working principle and interpretability of these models. However, the current visualization package is still very rudimentary and does not help novices much. When I visited Github recently, I found a great dtree ...

KNN, namely k-nearest neighbor method, is a basic classification and regression method proposed by Cover T and Hart P in 1967. It is also one of the basic algorithms of machine learning. This article's reference tutorial: Machine learning practice Principle of KNN algorithm In a sample data set, also known as the training sample set, and eac ...

sample Positive samples: samples belonging to a certain class (generally the desired class). In this case is a passing student.Negative samples: samples that do not belong to this category. In this case, it is a failed student. 　　y_pred = [0, 0, 0, 0, 0, 0, 1, 1, 1, 1]　　y_true = [0, 0, 0, 0, 1, 1, 1, 1, 0, 0] The above 0 represents failure ...

1.Autograd (automatic gradient algorithm) autograd is the core package of PyTorch to implement the automatic gradient algorithm mentioned earlier. Let's start by introducing the variables. 2.Variable autograd.Variable is the encapsulation of Tensor. Once we have defined the final variable (i.e., calculated loss, etc.), we can call its backwa ...

Data Attribute information: 1) ID number 2) Diagnosis (M = malignant, B = benign) Calculate 10 real value characteristics of each nucleus: a) Radius (average distance from center to perimeter) b) Texture (standard deviation of gray value) c) Perimeter d) Area e) Smoothness (local variation of radius length) f) Compactness (perimeter ^ ...

Hello, everyone. Today, I'd like to share with you the derivation process of forward propagation in tensorflow 2.0 deep learning, using the mnist data set provided by the system. 1. Data acquisition First, we import the required library files and datasets. The imported x and y data are array types and need to be converted to tensor type tf.co ...

Data description Data parameters OrderNumber: customer nickname LineNumber: purchase order. For example, the first three lines respectively represent three goods purchased by the same customer Model: trade name Problem description Application of intelligent algorithm recommendation of association rules based on shopping basket. Three basic ...

Original author: brain in new VATArticle link: https://www.toutiao.com/i7028498316396839432/?tt_ from=weixin&utm_ campaign=client_ share&wxshare_ count=1&timestamp=1638613017&app=news_ article&utm_ source=weixin&utm_ medium=toutiao_ ios&use_ new_ style=1&req_ id=2021120418165701015015608914163D60&share_ token ...

2021SC@SDUSC Learner function This blog focuses on the most important code in the entire training or prediction code because it initializes the loading of all other models, data processing visualization, log printing, and so on. Before introducing these classes, let's briefly summarize the five main categories of Framework: Learner: The mai ...

introduction As we all know, we brush questions before the exam. But most of the exams are not the original questions. What's the use of brushing questions before the exam? Of course, as like as two peas, we did not want to have the same questions in the exam. (maybe. In fact, in machine learning, the questions brushed before the test are the ...