Linear regression predicts Boston housing prices & the reason for loss is NAN & draws a scatter plot to find the relationship between features and labels

Boston house price csv file Link: Extraction code: vufb Code %matplotlib inline import random import torch import matplotlib.pyplot as plt import numpy as np import pandas as pd import torch Get the data set from CSV # Load data, the first line is a useless line, skip it directly boston = pd.read_csv(‘../data/boston_house_prices.csv’,skiprows=[0]) # There […]

The usage process of nanny-level vue-pdf

The first step is to introduce vue-pdf npm install –save vue-pdf The second step is to proceed slowly according to the needs 01. Give you the url of a pdf file, which needs to be rendered on the page Code <template> <div> <pdf ref=”pdf” :src=”url”> </pdf> </div> </template> <script> import pdf from ‘vue-pdf’ export default […]

Nanny level implements three-piece chess through C language

Article directory Game introduction and analysis Game implementation 1. Game interface Enter and exit the game interface Mode selection interface 2.Initialization 3. Print the chessboard 4. Game process Two player mode computer mode 5. Determine win, loss or draw All code display Summarize Game introduction and analysis Introduction: This game is played on a 3*3 […]

Financial data statistical analysis system based on big data

Recommended subscription for wonderful columns: on the homepage below Author’s homepage: Computer graduate student Brother Article directory 1. Project introduction 2. Development environment 3. System display – financial data statistical analysis system based on big data 4. Code display 5. Project Summary You can help like, collect, follow and comment 1. Project introduction 1. Background […]

Quick development and usage guide for service governance plug-ins under the Sermant framework

Summary Sermant is a cloud-native agentless service mesh based on Java bytecode enhancement technology. It is non-intrusive, plug-inable and high-performance. Through the Sermant core framework, plug-ins for various service management purposes can be easily developed, including load balancing, flow control, label routing, label transparent transmission, etc. In this article, we use a case to explain […]

Deploy YOLO pruning model to edge terminal device jeston-orin-nano method

I encountered a lot of pitfalls in the process. I have only recently finished all the bugs in the experiment and recorded them 1Foreword TensorRT is a high-performance deep learning inference optimization library officially provided by NVIDIA, supporting two programming languages API: C++ and Python . Under normal circumstances, deep learning model deployment will pursue […]

R Data Analysis: Understanding Net Reclassification (NRI) and Integrated Discriminant Improvement (IDI) Index

Our most common indicator for evaluating the performance of classification prediction models is the ROC curve, which reports AUC. For example, if there are two models, let’s compare the AUCs of the two models to determine the performance of the two models. This is our normal practice. If our research focus is on “Whether the […]

Kubernetes Affinity Anti-Affinity Taint Tolerance and Maintenance Eviction

Affinity Official website: (1) Node affinity pod.spec.nodeAffinity ●preferredDuringSchedulingIgnoredDuringExecution: soft strategy ●requiredDuringSchedulingIgnoredDuringExecution: hard strategy (2) Pod affinity pod.spec.affinity.podAffinity/podAntiAffinity ●preferredDuringSchedulingIgnoredDuringExecution: soft strategy ●requiredDuringSchedulingIgnoredDuringExecution: hard strategy Simple understanding: Suppose you are a traveler and you plan to travel to a strange city. You can think of yourself as a Pod, and different attractions in the city can […]