Month: June 2024
Using an SPFx extension to hide the Export to Excel button
As the title suggests I want to create an extension that hides it for classic mode and potentially for modern. I will then implement this extension into a PS script that applies it to a site template.
I’ve made a fairly deep google search and found:
How to Disable Export to Excel Button in SharePoint Online? – SharePoint Diary
The Ultimate Guide to SharePoint Site Templates and Site Scripts (laurakokkarinen.com)
sp-dev-site-scripts/samples at master · pnp/sp-dev-site-scripts · GitHub
I’ve tried:
@import ‘~@microsoft/sp-office-ui-fabric-core/dist/sass/SPFabricCore.scss’;
:global {
a[id*=’ExportToSpreadsheet’] {
display:none;
}
button[name=”Export to Excel”] {
display: none;
}
}
but neither work.
I’m importing the the above style like this:
import { Log } from ‘@microsoft/sp-core-library’;
import {
BaseApplicationCustomizer,
} from ‘@microsoft/sp-application-base’;
import * as strings from ‘SiteScriptExtensionApplicationCustomizerStrings’;
import ‘./SiteScriptExtension.module.scss’;
import { override } from ‘@microsoft/decorators’;
const LOG_SOURCE: string = ‘SiteScriptExtensionApplicationCustomizer’;
export interface ISiteScriptExtensionApplicationCustomizerProperties {
// This is an example; replace with your own property
}
export default class SiteScriptExtensionApplicationCustomizer
extends BaseApplicationCustomizer<ISiteScriptExtensionApplicationCustomizerProperties> {
@override
public onInit(): Promise<void> {
Log.info(LOG_SOURCE, `Initialized ${strings.Title}`);
return Promise.resolve();
}
}
As the title suggests I want to create an extension that hides it for classic mode and potentially for modern. I will then implement this extension into a PS script that applies it to a site template.I’ve made a fairly deep google search and found:How to Disable Export to Excel Button in SharePoint Online? – SharePoint DiaryThe Ultimate Guide to SharePoint Site Templates and Site Scripts (laurakokkarinen.com)sp-dev-site-scripts/samples at master · pnp/sp-dev-site-scripts · GitHubI’ve tried:@import ‘~@microsoft/sp-office-ui-fabric-core/dist/sass/SPFabricCore.scss’;
:global {
a[id*=’ExportToSpreadsheet’] {
display:none;
}
button[name=”Export to Excel”] {
display: none;
}
}but neither work.I’m importing the the above style like this:import { Log } from ‘@microsoft/sp-core-library’;
import {
BaseApplicationCustomizer,
} from ‘@microsoft/sp-application-base’;
import * as strings from ‘SiteScriptExtensionApplicationCustomizerStrings’;
import ‘./SiteScriptExtension.module.scss’;
import { override } from ‘@microsoft/decorators’;
const LOG_SOURCE: string = ‘SiteScriptExtensionApplicationCustomizer’;
export interface ISiteScriptExtensionApplicationCustomizerProperties {
// This is an example; replace with your own property
}
export default class SiteScriptExtensionApplicationCustomizer
extends BaseApplicationCustomizer<ISiteScriptExtensionApplicationCustomizerProperties> {
@override
public onInit(): Promise<void> {
Log.info(LOG_SOURCE, `Initialized ${strings.Title}`);
return Promise.resolve();
}
} Read More
How do I access the prompt location property in masks programmatically?
I am looking for a way to set the Prompt Location property of a mask programmatically.I could not find it in the following doc:
https://www.mathworks.com/help/simulink/slref/simulink.mask.simulink.mask.addparameter.htmlI am looking for a way to set the Prompt Location property of a mask programmatically.I could not find it in the following doc:
https://www.mathworks.com/help/simulink/slref/simulink.mask.simulink.mask.addparameter.html I am looking for a way to set the Prompt Location property of a mask programmatically.I could not find it in the following doc:
https://www.mathworks.com/help/simulink/slref/simulink.mask.simulink.mask.addparameter.html MATLAB Answers — New Questions
curve fit a lorentzian
I need to curve fit a lorentzian but the curve fitting tool does not have the appropriate option. Does someone have an .m file for fitting lorentzian.
ThanksI need to curve fit a lorentzian but the curve fitting tool does not have the appropriate option. Does someone have an .m file for fitting lorentzian.
Thanks I need to curve fit a lorentzian but the curve fitting tool does not have the appropriate option. Does someone have an .m file for fitting lorentzian.
Thanks lorentzian, curve fitting MATLAB Answers — New Questions
Migración de Yammer a Viva Engage
Todas las organizaciones deben tener un proceso de migración de Yammer a Viva Engage? o solo aquellas que no tengan una residencia correcta de sus datos? es suficiente con pasar el botón de alternancia a modo nativo o es necesaria una configuración más profunda. Muchos clientes tienen curiosidad de todo lo que implica pasar de Yammer a Viva Engage y están buscando ayuda para ello.
Todas las organizaciones deben tener un proceso de migración de Yammer a Viva Engage? o solo aquellas que no tengan una residencia correcta de sus datos? es suficiente con pasar el botón de alternancia a modo nativo o es necesaria una configuración más profunda. Muchos clientes tienen curiosidad de todo lo que implica pasar de Yammer a Viva Engage y están buscando ayuda para ello. Read More
Licensing automatic lableing.
Hi,
Now that AIP P2 no longer exists as a Sku I guess the cheapest way is to buy the “information protection and governance” license if you have an M365 E3 license?
This feature is only going to be rolled out the a smaller group of people in the company. Is it ok to just license those people with the information protection and governance license or do they need to license the whole company? It’s just this small group of people whom are going to work with lableing.
Br,
Henrik
Hi, Now that AIP P2 no longer exists as a Sku I guess the cheapest way is to buy the “information protection and governance” license if you have an M365 E3 license?This feature is only going to be rolled out the a smaller group of people in the company. Is it ok to just license those people with the information protection and governance license or do they need to license the whole company? It’s just this small group of people whom are going to work with lableing. Br, Henrik Read More
Project online error 10102 cannot checkout
Does anyone knows how to fix the error 10102? there is a lot of record of this issue on the web but no solution.
Its the one when you try to open a project with the desktop client, pressing the checkout button doesn’t do anything and when trying to publish through the info->menu, the following message appears:
“this project is no longer checked out to you on the project web app, to save as different project…” blablabla.
I deleted the cash, but it didn’t help.
The problem suddenly appeared a couple months ago, and is getting worse by the weeks, and Me and my colleagues are affected which makes me think it’s not a local issue on my PC.
I am the admin of this PWA instance so I have all the rights.
<detail><ServerExecutionFault xmlns=”http://Microsoft.Office.Project.Interfaces/” xmlns:i=”http://www.w3.org/2001/XMLSchema-instance“><Actor i:nil=”true”/><LastError>10102</LastError><Message></Message><Source></Source><StackTrace></StackTrace><TargetSite i:nil=”true”/><ExceptionDetails><errinfo xmlns=””><general><class name=”CICONotCheckedOut”><error id=”10102″ name=”CICONotCheckedOut” uid=”89ec1f75-7521-ef11-8ae4-00155da89d0c”/></class></general></errinfo></ExceptionDetails></ServerExecutionFault></detail>
Does anyone knows how to fix the error 10102? there is a lot of record of this issue on the web but no solution.Its the one when you try to open a project with the desktop client, pressing the checkout button doesn’t do anything and when trying to publish through the info->menu, the following message appears:”this project is no longer checked out to you on the project web app, to save as different project…” blablabla.I deleted the cash, but it didn’t help.The problem suddenly appeared a couple months ago, and is getting worse by the weeks, and Me and my colleagues are affected which makes me think it’s not a local issue on my PC.I am the admin of this PWA instance so I have all the rights. <detail><ServerExecutionFault xmlns=”http://Microsoft.Office.Project.Interfaces/” xmlns:i=”http://www.w3.org/2001/XMLSchema-instance”><Actor i:nil=”true”/><LastError>10102</LastError><Message></Message><Source></Source><StackTrace></StackTrace><TargetSite i:nil=”true”/><ExceptionDetails><errinfo xmlns=””><general><class name=”CICONotCheckedOut”><error id=”10102″ name=”CICONotCheckedOut” uid=”89ec1f75-7521-ef11-8ae4-00155da89d0c”/></class></general></errinfo></ExceptionDetails></ServerExecutionFault></detail> Read More
Highlights from Build and what’s new with .NET
Last month’s Microsoft Build event featured exciting announcements and in-depth sessions on the latest developer tools and technologies. Throughout June, we’re looking at highlights from Microsoft Build. Explore news, challenges, training, and announcements. Get started with Dev Box, find out how to build cloud-native apps with the new .NET Aspire, build a custom copilot, and join a challenge to keep building new skills.
Microsoft Learn Challenge: Build Edition
Are you ready for the Microsoft Learn Challenge: Build Edition? Immerse yourself in Azure AI, Copilot, GitHub, and Microsoft Fabric to elevate and learn new skills. Challenge runs through June 21. Start today.
Announcing: .NET Aspire is now available
Easily build cloud-native apps with intuitive orchestration tools, comprehensive observability, and versatile deployment. Learn more.
Build apps from the cloud with Microsoft Dev Box, Visual Studio, and more
Microsoft Dev Box is evolving to meet the needs of teams, developers, and administrators. Learn about the latest features and integrations coming to Dev Box that optimize the developer experience from onboarding to deployment.
Season of AI Community Events
Microsoft AI is coming to a community event near you. Get started with generative AI, do more with Copilot, explore Azure AI Studio, and more. Find a local event and sign up to learn new skills from experts.
Let’s Learn .NET Aspire
Check out this beginner video series to learn the fundamentals of using C# and .NET to build real-world apps. On June 27, the Let’s Learn series will delve into building cloud-native apps with .NET Aspire. Streaming live and then available on demand.
Announcing the AI Toolkit for Visual Studio Code
The new AI Toolkit for Visual Studio Code is a powerful VS Code extension that lets developers easily explore, test, and integrate models from Azure AI Studio and HuggingFace into their applications.
AI Apps: Driving innovation from development to production
AI is redefining applications, driving new possibilities, and changing how apps are developed. Check out this blog post to explore AI, the latest tools, and the impact recent advancements are having on modern apps and development.
Accelerate business growth with AI
Discover how Microsoft Copilot can help transform your business. Build your own copilot or enhance workflows with Copilot extensions. The opportunities for innovation are endless.
AI in action: Powering up with Power Automate
Check out this series of videos to explore different ways to use AI with Power Automate. Create custom AI prompts, extend Microsoft 365 Copilot, add generative AI to your cloud flows, and more.
.NET AI Community Standup: What’s new in AI Samples?
Watch this .NET AI Community Standup to discover the latest updates to the AI-SAMPLES GitHub repository—including new support for open-source LLMs (like Phi-3 and Llama 3). This is a great session for developers wanting to incorporate AI into their .NET applications.
Develop .NET applications with AI features
Explore ways to use AI with .NET. Browse sample code, tutorials, quickstarts, and conceptual articles in the .NET for Azure developers documentation.
Get started with .NET 8 and AI using new quickstart tutorials
Want to add AI to your .NET apps? These quickstart tutorials provide step-by-step guidance to help you get started with .NET 8 and AI.
.NET announcements and updates from Microsoft Build 2024
Microsoft Build 2024 presented new features and tools designed to make .NET development faster and easier. Here’s a roundup of .NET updates and announcements.
Azure Cosmos DB AI developer guides
Elevate your Azure Cosmos DB skills with the Microsoft Azure Enablement Show. This episode explores two new Azure Cosmos DB developer guides—one for Node.js and one for Python— and a new learning path for building a chat bot using Azure OpenAI.
Build intelligent apps with Python
Build intelligent apps with Python. This episode of the Microsoft Azure Enablement Show looks at how you can use Python to build intelligent, modern apps. Then discover resources and tools that Microsoft offers for your Python skilling.
Accelerate developer productivity with GitHub and Azure for developers
Start building the skills you need to code in the cloud with GitHub Copilot. This skilling plan on Microsoft Learn will get you started. Let GitHub help you write code, understand code from other developers, create documentation, and solve issues in your code.
Enhancing Microsoft Teams to support developer productivity and collaboration
Learn about new capabilities coming to Microsoft Teams that will help developers to be more productive and improve collaboration.
Curating a collection of free Microsoft Copilot prompts
Announcing a new collection of prompts to help you use Microsoft Copilot more effectively across Microsoft 365. Read the blog for an overview and check out the collection repo on GitHub.
Dev Proxy v0.17 includes integration with Azure API Center
Do more with APIs. Discover how the new Dev Proxy v0.17, which includes integration with Azure API Center, will help you build robust apps connected to APIs. Read details and find out how to get started with Dev Proxy.
Intro to RAG: Empowering your custom copilot with your data using Azure AI Search and Teams Toolkit
Watch an intro to retrieval-augmented generation (RAG) using Python and Teams Toolkit. Learn how to integrate your data with Azure AI Search to power a custom Copilot, giving AI responses access to external data sources.
Where is the Microsoft 365 API?
Where is the Microsoft 365 API? Microsoft Graph is the main API for Microsoft 365. But Microsoft 365 has many more APIs and libraries. Watch this video for a complete overview.
Official Collection: Microsoft Dev Box
Increase productivity and developer satisfaction with Microsoft Dev Box—cloud-based workstations optimized for developers. Get started with this collection of resources from Microsoft Learn. Watch an overview, read a quickstart guide, find out how to manage secure access to your dev boxes, and more.
Build a copilot with Azure AI Studio
Don’t miss this episode of the Microsoft Azure Enablement Show if you’re looking to advance your expertise in AI technologies. Watch now to learn how to use Azure AI Studio to build your own copilot.
Official Collection: Build your own copilot with Microsoft Copilot Studio
Build and deploy your own copilot using the latest features and updates from Copilot Studio. This collection of learning resources covers everything you need to know.
Boost dev team agility with customized, project-specific templates in Azure Deployment Environments
Azure Deployment Environments makes it easier to perform deployments with Pulumi and further streamline app infrastructure provisioning. Learn how new features in Azure Deployment Environments can increase dev team agility.
Microsoft Tech Community – Latest Blogs –Read More
Local Development using Azure Cosmos DB Emulator at no Cost
In our previous blogs we introduced you to what is Azure Cosmos DB and Azure Cosmos DB APIs like Azure Cosmos DB for PostgreSQL, Azure Cosmos DB for Apache Gremlin, Azure Cosmos DB for MongoDB. In this blog we are going to introduce you Azure Cosmos DB Emulator which will help to run Azure Cosmos DB offline and do local development with ease.
Benefits of Azure Cosmos DB Emulator
Local Development Environment: The emulator provides a local environment that closely emulates the Azure Cosmos DB service. You can use it to develop and test your applications without needing an active Azure subscription or incurring any service costs.
Cost-Free Testing: By using the emulator, you can write and test code that interacts with Azure Cosmos DB APIs even when you have no network connection. This allows you to avoid any costs associated with using the actual cloud service
Automation Workflow Support: Incorporating the emulator into your automation workflows enables consistent testing across local development machines and remote continuous integration jobs.
Prerequisites
.NET 6 or later, Node.js LTS, or Python 3.7 or later
Ensure that all required executables are available in your PATH.
Windows emulator
64-bit Windows Server 2016, 2019, Windows 10, or Windows 11.
Minimum hardware requirements:
2-GB RAM
10-GB available hard disk space
What will be covered
Installation process of Azure Cosmos DB Emulator
Using Explorer in Azure Cosmos DB Emulator
Connecting Azure Cosmos DB Emulator with Azure Data Studio
Consuming Azure Cosmos DB using Azure Cosmos DB client library for JavaScript/TypeScript
Installation process of Azure Cosmos DB Emulator
Visit this page
Under choose an API, select your preferred API, I will go with NoSQL.
You can run the emulator in docker(both linux & windows) or windows via local installation which we are going to do.
Download the Azure Cosmos DB emulator.
Run the installer on your local machine with administrative privileges.
The emulator automatically installs the appropriate developer certificates and configures firewall rules on your local machine.
Start the emulator
Start the emulator by selecting the application in the Windows Start menu.
Alternatively, you can start the emulator’s executable (Microsoft.Azure.Cosmos.Emulator.exe) at the %ProgramFiles%Azure Cosmos DB Emulator path.
Also, you can start the emulator from the command-line. Use these parameters to configure the emulator ie you can specify the port to use for the API for NoSQL endpoint. More about emulator cli commands
Microsoft.Azure.Cosmos.Emulator.exe /Port=65000
The emulator automatically opens the data explorer using the URL https://localhost:8081/_explorer/index.html
If you’re using docker you must configure emulator’s TLS/SSL certificate but Windows local installation of the emulator automatically imports the TLS/SSL certificates. No further action is necessary.
You should be welcomed by this familiar screen.
Using Explorer in Azure Cosmos DB Emulator
Create a database, container, select database throughput, database max RU/s and partition key. Then press okey
You can confirm that you have created the database and container by
Let’s create an item in our container. Click on items then new item and paste below json object and save.
{
“eventId”: “unique_event_id”,
“eventName”: “Marathon”,
“eventDate”: “2024-05-20”,
“participants”: [
{
“participantId”: “participant1”,
“name”: “Alice”,
“score”: 1200
},
{
“participantId”: “participant2”,
“name”: “Bob”,
“score”: 1100
}
]
}
Run query to select all items in our container. Click on run query, write your query and execute the query.
You can access the Query Stats like RUs usage. You can also export the stats.
Connecting Azure Cosmos DB Emulator with Azure Data Studio
Download Azure data studio here and install it in your machine.
Go to Azure Cosmos DB Emulator quickstart page and copy the Primary Connection String
Open Azure data studio. Under extensions search Azure Cosmos DB and install the extension.
Click on connections, create new connection, then select Azure Cosmos DB for NoSQL, select connection string, the paste the Primary Connection String we copied in the emulator. Press connect.
The connection is successful, and you can easily use Azure Data Studio if its your preferred tool and create databases, containers make queries etc.
U can take advantage of the import sample data button to get sample data to get started. A new container will be created with data.
Consuming Azure Cosmos DB using Azure Cosmos DB client library for JavaScript/TypeScript
We are going to use Azure Cosmos DB client library for JavaScript/TypeScript which is an SDK intended for JavaScript/TypeScript applications to interact with Azure Cosmos DB APIs. With it we can
Create Cosmos DB databases and modify their settings.
Create and modify containers to store collections of JSON documents.
Create, read, update, and delete the items (JSON documents) in your containers.
Query the documents in your database using SQL-like syntax
You can read more about this SDK here.
I have prepared a small workshop here, to help you interact with Azure Cosmos DB Emulator with a simple API starter code which you can hook up with hono or express or your favorite JavaScript / Typescript backend.
In client.config.ts, we have just initialized our cosmosClient and passed in endpoint and key stored in .env file. NB: I have added agent property to allow us to use the “https:” from our emulator smoothly in our local development.
I have imported client.config.ts into db.config.ts to help us create our database and container programtically. Lastly I’m using data.ts to store sample objects we can use to save in our container.
In my index.ts, I have included several functions to help interact with our emulator. If you run pnpm run dev
or npm run dev you will get [ ] meaning our container is empty but it have been created together with the database.
If you uncomment createFamilyMember(familyMember) and alsorun you code. You should get one family member create
You can confirm this on the Emulators explorer.
Read more
Optimize development and testing cost in Azure Cosmos DB
Understand your Azure Cosmos DB bill
Optimize request cost in Azure Cosmos DB
Estimate RU/s using the Azure Cosmos DB capacity planner – Azure Cosmos DB for NoSQL
Microsoft Tech Community – Latest Blogs –Read More
How can i change ppm image resolution when I using Imread?
For example,
a = imread("xxxx.ppm")
xxxx image resolution has default 255
So when I reading 1023 resolution ppm files, data is forcibly multiplied by 20.
How can I change ppm image resolution when I Using Imread?
please help me,
I’m sorry for the lack of readability because My English skill are not good
Thanks for reading.For example,
a = imread("xxxx.ppm")
xxxx image resolution has default 255
So when I reading 1023 resolution ppm files, data is forcibly multiplied by 20.
How can I change ppm image resolution when I Using Imread?
please help me,
I’m sorry for the lack of readability because My English skill are not good
Thanks for reading. For example,
a = imread("xxxx.ppm")
xxxx image resolution has default 255
So when I reading 1023 resolution ppm files, data is forcibly multiplied by 20.
How can I change ppm image resolution when I Using Imread?
please help me,
I’m sorry for the lack of readability because My English skill are not good
Thanks for reading. imread, ppm, resolution MATLAB Answers — New Questions
measuring resistance in simulink
Hi everyone. There is such a basic circuit I need to model. It has only three resistors without any voltage source. I couldn’t find any ohmmeter in simulink. How can I measure the equivalent resistance?Hi everyone. There is such a basic circuit I need to model. It has only three resistors without any voltage source. I couldn’t find any ohmmeter in simulink. How can I measure the equivalent resistance? Hi everyone. There is such a basic circuit I need to model. It has only three resistors without any voltage source. I couldn’t find any ohmmeter in simulink. How can I measure the equivalent resistance? ohmmeter MATLAB Answers — New Questions
safety course in chennai
What is the NEBOSH Course and its benefits?
The NEBOSH (National Examination Board in Occupational Safety and Health) course is a globally recognized qualification that provides comprehensive training in health, safety, and environmental management. NEBOSH courses are designed to equip individuals with the knowledge and skills to manage workplace risks effectively and ensure compliance with health and safety regulations.
Types of NEBOSH Courses
NEBOSH International General Certificate (IGC) in Occupational Health and Safety:
Aimed at individuals seeking a broad understanding of health and safety principles and practices.Covers topics such as risk assessment, hazard control, health and safety management systems, and workplace hazards.
NEBOSH National General Certificate in Occupational Health and Safety:
Similar to the IGC but tailored to UK-specific legislation and practices.
Suitable for those working in the UK or dealing with UK regulations.
NEBOSH International Diploma in Occupational Health and Safety:
An advanced qualification for professionals seeking to deepen their knowledge and expertise.Covers complex health and safety issues, risk management, and the development of safety policies and strategies.
NEBOSH Certificate in Fire Safety and Risk Management:
Focuses on fire safety management and fire risk assessment.Ideal for individuals responsible for fire safety in their organizations.
NEBOSH Environmental Management Certificate:
Provides knowledge on environmental management and sustainability practices.Suitable for those looking to integrate environmental management into their roles.
https://safetyengineeringcourseinchennai.in/fire-and-safety-courses/
What is the NEBOSH Course and its benefits?The NEBOSH (National Examination Board in Occupational Safety and Health) course is a globally recognized qualification that provides comprehensive training in health, safety, and environmental management. NEBOSH courses are designed to equip individuals with the knowledge and skills to manage workplace risks effectively and ensure compliance with health and safety regulations.Types of NEBOSH CoursesNEBOSH International General Certificate (IGC) in Occupational Health and Safety:Aimed at individuals seeking a broad understanding of health and safety principles and practices.Covers topics such as risk assessment, hazard control, health and safety management systems, and workplace hazards. NEBOSH National General Certificate in Occupational Health and Safety:Similar to the IGC but tailored to UK-specific legislation and practices.Suitable for those working in the UK or dealing with UK regulations. NEBOSH International Diploma in Occupational Health and Safety:An advanced qualification for professionals seeking to deepen their knowledge and expertise.Covers complex health and safety issues, risk management, and the development of safety policies and strategies. NEBOSH Certificate in Fire Safety and Risk Management:Focuses on fire safety management and fire risk assessment.Ideal for individuals responsible for fire safety in their organizations. NEBOSH Environmental Management Certificate:Provides knowledge on environmental management and sustainability practices.Suitable for those looking to integrate environmental management into their roles.https://safetyengineeringcourseinchennai.in/fire-and-safety-courses/ Read More
Extracting table values if values in two columns have identical values in other rows
Hi guys,
Can someone please help me with a formula for the following task?
I have over 40,000 rows of data in ‘Table 1′, I’ve extracted a sample.
I need to analyse only cells which contain identical values in both ‘Product‘ and ‘Decrement‘ in ‘Table 1’. I have manually created a dataset in ‘Table 2′ which highlits the output I need.
Thanks in advance!!
Hi guys, Can someone please help me with a formula for the following task? I have over 40,000 rows of data in ‘Table 1’, I’ve extracted a sample. I need to analyse only cells which contain identical values in both ‘Product’ and ‘Decrement’ in ‘Table 1’. I have manually created a dataset in ‘Table 2’ which highlits the output I need. Thanks in advance!! Read More
obtain AIC value for each copula
hi, good morning. I need to compare the different copulas to figure out which one fits the data best. To do this I have to calculate the IAC for each copula. Can anyone tell me how I can implement this calculation? A thousand thanks
%copula Gaussiana
[grho]=copulafit(‘Gaussian’,[vu2 vu4])
rho = grho(1,2)
cm = 10 % number of evaluation
d = linspace(0,1,cm);
[u2,u4] = meshgrid(d,d);
u = copularnd(‘Gaussian’,rho,n);hi, good morning. I need to compare the different copulas to figure out which one fits the data best. To do this I have to calculate the IAC for each copula. Can anyone tell me how I can implement this calculation? A thousand thanks
%copula Gaussiana
[grho]=copulafit(‘Gaussian’,[vu2 vu4])
rho = grho(1,2)
cm = 10 % number of evaluation
d = linspace(0,1,cm);
[u2,u4] = meshgrid(d,d);
u = copularnd(‘Gaussian’,rho,n); hi, good morning. I need to compare the different copulas to figure out which one fits the data best. To do this I have to calculate the IAC for each copula. Can anyone tell me how I can implement this calculation? A thousand thanks
%copula Gaussiana
[grho]=copulafit(‘Gaussian’,[vu2 vu4])
rho = grho(1,2)
cm = 10 % number of evaluation
d = linspace(0,1,cm);
[u2,u4] = meshgrid(d,d);
u = copularnd(‘Gaussian’,rho,n); aic, copula MATLAB Answers — New Questions
我从pytorch中导入net到工作区，在把net导入到simulink中的matlab function中，在运行过程中出现如下问题Code generation for custom layer ‘aten__linear0’ for target ‘mkldnn’ is not supported as it returns a dlarra
classdef aten__linear0 < nnet.layer.Layer & nnet.layer.Formattable & …
nnet.layer.AutogeneratedFromPyTorch & nnet.layer.Acceleratable
%aten__linear0 Auto-generated custom layer
% Auto-generated by MATLAB on 2024-05-24 16:18:35
%#codegen
properties (Learnable)
% Networks (type dlnetwork)
end
properties
% Non-Trainable Parameters
end
properties (Learnable)
% Trainable Parameters
Param_weight
Param_bias
end
methods
function obj = aten__linear0(Name, Type, InputNames, OutputNames)
obj.Name = Name;
obj.Type = Type;
obj.NumInputs = 1;
obj.NumOutputs = 1;
obj.InputNames = InputNames;
obj.OutputNames = OutputNames;
end
function [linear_9] = predict(obj,linear_x_1)
%Validates that the input has the correct format and permutes its dimensions into the reverse of the original PyTorch format.
model_tt.ops.validateInput(linear_x_1,2);
[linear_x_1, linear_x_1_format] = model_tt.ops.permuteInputToReversePyTorch(linear_x_1, 2);
[linear_x_1] = struct(‘value’, linear_x_1, ‘rank’, int64(2));
[linear_9] = tracedPyTorchFunction(obj,linear_x_1,false,"predict");
%Permute U-labelled output to forward PyTorch dimension ordering
if(any(dims(linear_9.value) == ‘U’))
linear_9 = permute(linear_9.value, fliplr(1:max(2,linear_9.rank)));
end
end
function [linear_9] = forward(obj,linear_x_1)
%Validates that the input has the correct format and permutes its dimensions into the reverse of the original PyTorch format.
model_tt.ops.validateInput(linear_x_1,2);
[linear_x_1, linear_x_1_format] = model_tt.ops.permuteInputToReversePyTorch(linear_x_1, 2);
[linear_x_1] = struct(‘value’, linear_x_1, ‘rank’, int64(2));
[linear_9] = tracedPyTorchFunction(obj,linear_x_1,true,"forward");
%Permute U-labelled output to forward PyTorch dimension ordering
if(any(dims(linear_9.value) == ‘U’))
linear_9 = permute(linear_9.value, fliplr(1:max(2,linear_9.rank)));
end
end
function [linear_9] = tracedPyTorchFunction(obj,linear_x_1,isForward,predict)
linear_weight_1 = obj.Param_weight;
[linear_weight_1] = struct(‘value’, dlarray(linear_weight_1,’UU’), ‘rank’, 2);
linear_bias_1 = obj.Param_bias;
[linear_bias_1] = struct(‘value’, dlarray(linear_bias_1,’UU’), ‘rank’, 1);
[linear_9] = model_tt.ops.pyLinear(linear_x_1, linear_weight_1, linear_bias_1);
end
end
endclassdef aten__linear0 < nnet.layer.Layer & nnet.layer.Formattable & …
nnet.layer.AutogeneratedFromPyTorch & nnet.layer.Acceleratable
%aten__linear0 Auto-generated custom layer
% Auto-generated by MATLAB on 2024-05-24 16:18:35
%#codegen
properties (Learnable)
% Networks (type dlnetwork)
end
properties
% Non-Trainable Parameters
end
properties (Learnable)
% Trainable Parameters
Param_weight
Param_bias
end
methods
function obj = aten__linear0(Name, Type, InputNames, OutputNames)
obj.Name = Name;
obj.Type = Type;
obj.NumInputs = 1;
obj.NumOutputs = 1;
obj.InputNames = InputNames;
obj.OutputNames = OutputNames;
end
function [linear_9] = predict(obj,linear_x_1)
%Validates that the input has the correct format and permutes its dimensions into the reverse of the original PyTorch format.
model_tt.ops.validateInput(linear_x_1,2);
[linear_x_1, linear_x_1_format] = model_tt.ops.permuteInputToReversePyTorch(linear_x_1, 2);
[linear_x_1] = struct(‘value’, linear_x_1, ‘rank’, int64(2));
[linear_9] = tracedPyTorchFunction(obj,linear_x_1,false,"predict");
%Permute U-labelled output to forward PyTorch dimension ordering
if(any(dims(linear_9.value) == ‘U’))
linear_9 = permute(linear_9.value, fliplr(1:max(2,linear_9.rank)));
end
end
function [linear_9] = forward(obj,linear_x_1)
%Validates that the input has the correct format and permutes its dimensions into the reverse of the original PyTorch format.
model_tt.ops.validateInput(linear_x_1,2);
[linear_x_1, linear_x_1_format] = model_tt.ops.permuteInputToReversePyTorch(linear_x_1, 2);
[linear_x_1] = struct(‘value’, linear_x_1, ‘rank’, int64(2));
[linear_9] = tracedPyTorchFunction(obj,linear_x_1,true,"forward");
%Permute U-labelled output to forward PyTorch dimension ordering
if(any(dims(linear_9.value) == ‘U’))
linear_9 = permute(linear_9.value, fliplr(1:max(2,linear_9.rank)));
end
end
function [linear_9] = tracedPyTorchFunction(obj,linear_x_1,isForward,predict)
linear_weight_1 = obj.Param_weight;
[linear_weight_1] = struct(‘value’, dlarray(linear_weight_1,’UU’), ‘rank’, 2);
linear_bias_1 = obj.Param_bias;
[linear_bias_1] = struct(‘value’, dlarray(linear_bias_1,’UU’), ‘rank’, 1);
[linear_9] = model_tt.ops.pyLinear(linear_x_1, linear_weight_1, linear_bias_1);
end
end
end classdef aten__linear0 < nnet.layer.Layer & nnet.layer.Formattable & …
nnet.layer.AutogeneratedFromPyTorch & nnet.layer.Acceleratable
%aten__linear0 Auto-generated custom layer
% Auto-generated by MATLAB on 2024-05-24 16:18:35
%#codegen
properties (Learnable)
% Networks (type dlnetwork)
end
properties
% Non-Trainable Parameters
end
properties (Learnable)
% Trainable Parameters
Param_weight
Param_bias
end
methods
function obj = aten__linear0(Name, Type, InputNames, OutputNames)
obj.Name = Name;
obj.Type = Type;
obj.NumInputs = 1;
obj.NumOutputs = 1;
obj.InputNames = InputNames;
obj.OutputNames = OutputNames;
end
function [linear_9] = predict(obj,linear_x_1)
%Validates that the input has the correct format and permutes its dimensions into the reverse of the original PyTorch format.
model_tt.ops.validateInput(linear_x_1,2);
[linear_x_1, linear_x_1_format] = model_tt.ops.permuteInputToReversePyTorch(linear_x_1, 2);
[linear_x_1] = struct(‘value’, linear_x_1, ‘rank’, int64(2));
[linear_9] = tracedPyTorchFunction(obj,linear_x_1,false,"predict");
%Permute U-labelled output to forward PyTorch dimension ordering
if(any(dims(linear_9.value) == ‘U’))
linear_9 = permute(linear_9.value, fliplr(1:max(2,linear_9.rank)));
end
end
function [linear_9] = forward(obj,linear_x_1)
%Validates that the input has the correct format and permutes its dimensions into the reverse of the original PyTorch format.
model_tt.ops.validateInput(linear_x_1,2);
[linear_x_1, linear_x_1_format] = model_tt.ops.permuteInputToReversePyTorch(linear_x_1, 2);
[linear_x_1] = struct(‘value’, linear_x_1, ‘rank’, int64(2));
[linear_9] = tracedPyTorchFunction(obj,linear_x_1,true,"forward");
%Permute U-labelled output to forward PyTorch dimension ordering
if(any(dims(linear_9.value) == ‘U’))
linear_9 = permute(linear_9.value, fliplr(1:max(2,linear_9.rank)));
end
end
function [linear_9] = tracedPyTorchFunction(obj,linear_x_1,isForward,predict)
linear_weight_1 = obj.Param_weight;
[linear_weight_1] = struct(‘value’, dlarray(linear_weight_1,’UU’), ‘rank’, 2);
linear_bias_1 = obj.Param_bias;
[linear_bias_1] = struct(‘value’, dlarray(linear_bias_1,’UU’), ‘rank’, 1);
[linear_9] = model_tt.ops.pyLinear(linear_x_1, linear_weight_1, linear_bias_1);
end
end
end simulink, neural network MATLAB Answers — New Questions
Figure Not Displaying Properly
Hello, I’m messing around with different slices of the brain, as shown below. Each image is essentially a 2D array visualized using imagesc, where each "pixel" corresponds to an element of the array. However, the subplots don’t appear to be scaling properly at all. Both the sagittal and coronal slice are 140 elements "tall", however because I assume MATLAB individually scales each subplot a certain way, they do not appear to be as tall as each other whatsoever. Similarly, the transverse slice should be as tall as the sagittal slice is wide (and the coronal slice should be as tall as the transverse slice is wide), but not of these dimensions match up. Here is a snippet of my code for troubleshooting purposes:
% sagittal slice, 165×140 2D array. for recreation purposes,
% you could functionally just make an 165×140 random matrix
ax1 = subplot(1, 3, 1);
imagesc(squeeze(maxS));
colormap(flipud(gray));
title("Sagittal View");
axis off;
axis image;
% coronal slice, 124×140 2D array
ax2 = subplot(1, 3, 2);
imagesc(squeeze(maxC));
colormap(flipud(gray));
title("Coronal View");
axis off;
axis image;
% transverse slice, 165×124 2D array
ax3 = subplot(1, 3, 3);
imagesc(maxT);
colormap(flipud(gray));
title("Transverse View");
axis off;
axis image;
Any and all help would be greatly appreciated. Thank you.Hello, I’m messing around with different slices of the brain, as shown below. Each image is essentially a 2D array visualized using imagesc, where each "pixel" corresponds to an element of the array. However, the subplots don’t appear to be scaling properly at all. Both the sagittal and coronal slice are 140 elements "tall", however because I assume MATLAB individually scales each subplot a certain way, they do not appear to be as tall as each other whatsoever. Similarly, the transverse slice should be as tall as the sagittal slice is wide (and the coronal slice should be as tall as the transverse slice is wide), but not of these dimensions match up. Here is a snippet of my code for troubleshooting purposes:
% sagittal slice, 165×140 2D array. for recreation purposes,
% you could functionally just make an 165×140 random matrix
ax1 = subplot(1, 3, 1);
imagesc(squeeze(maxS));
colormap(flipud(gray));
title("Sagittal View");
axis off;
axis image;
% coronal slice, 124×140 2D array
ax2 = subplot(1, 3, 2);
imagesc(squeeze(maxC));
colormap(flipud(gray));
title("Coronal View");
axis off;
axis image;
% transverse slice, 165×124 2D array
ax3 = subplot(1, 3, 3);
imagesc(maxT);
colormap(flipud(gray));
title("Transverse View");
axis off;
axis image;
Any and all help would be greatly appreciated. Thank you. Hello, I’m messing around with different slices of the brain, as shown below. Each image is essentially a 2D array visualized using imagesc, where each "pixel" corresponds to an element of the array. However, the subplots don’t appear to be scaling properly at all. Both the sagittal and coronal slice are 140 elements "tall", however because I assume MATLAB individually scales each subplot a certain way, they do not appear to be as tall as each other whatsoever. Similarly, the transverse slice should be as tall as the sagittal slice is wide (and the coronal slice should be as tall as the transverse slice is wide), but not of these dimensions match up. Here is a snippet of my code for troubleshooting purposes:
% sagittal slice, 165×140 2D array. for recreation purposes,
% you could functionally just make an 165×140 random matrix
ax1 = subplot(1, 3, 1);
imagesc(squeeze(maxS));
colormap(flipud(gray));
title("Sagittal View");
axis off;
axis image;
% coronal slice, 124×140 2D array
ax2 = subplot(1, 3, 2);
imagesc(squeeze(maxC));
colormap(flipud(gray));
title("Coronal View");
axis off;
axis image;
% transverse slice, 165×124 2D array
ax3 = subplot(1, 3, 3);
imagesc(maxT);
colormap(flipud(gray));
title("Transverse View");
axis off;
axis image;
Any and all help would be greatly appreciated. Thank you. figure MATLAB Answers — New Questions
problem with getting emails from outside
Hello,
Can someone help me to check our organization emails. Some of our organization emails not getting emails from outside. i am not sure what is the problem
Thanks
Hello, Can someone help me to check our organization emails. Some of our organization emails not getting emails from outside. i am not sure what is the problem Thanks Read More
App not supported on Apple Silicon
Was trying to use Transmission Line app on M2 Air but got an error saying it isn’t supported on apple silicon. I’m currently installing it on parallels so I know all of the features and apps work, but is there a way to get it to work on Mac? I’d hate to have to run a VM for MATLAB.
Thank you.Was trying to use Transmission Line app on M2 Air but got an error saying it isn’t supported on apple silicon. I’m currently installing it on parallels so I know all of the features and apps work, but is there a way to get it to work on Mac? I’d hate to have to run a VM for MATLAB.
Thank you. Was trying to use Transmission Line app on M2 Air but got an error saying it isn’t supported on apple silicon. I’m currently installing it on parallels so I know all of the features and apps work, but is there a way to get it to work on Mac? I’d hate to have to run a VM for MATLAB.
Thank you. mac, m2, rf toolbox MATLAB Answers — New Questions
How can I programmatically modify an Excel file with AIP sensitivity tags?
My company has recently decided to make Excel create files automatically with Azure Information Protection (AIP) sensitivity labels. We have programs in MATLAB that modify Excel files, but because of this, they have started to fail when trying to modify the files. Specifically, when using the writetable function, MATLAB shows the following error:
Unable to write to file ‘D:Prueba xlswriteBenchmark_Colones_1-2años_31-03-2024.xlsx’.
Ensure the file is a valid spreadsheet file and is not password protected.
Is there a way to programmatically provide the credentials needed by Excel to be able to modify the file when it is allowed?My company has recently decided to make Excel create files automatically with Azure Information Protection (AIP) sensitivity labels. We have programs in MATLAB that modify Excel files, but because of this, they have started to fail when trying to modify the files. Specifically, when using the writetable function, MATLAB shows the following error:
Unable to write to file ‘D:Prueba xlswriteBenchmark_Colones_1-2años_31-03-2024.xlsx’.
Ensure the file is a valid spreadsheet file and is not password protected.
Is there a way to programmatically provide the credentials needed by Excel to be able to modify the file when it is allowed? My company has recently decided to make Excel create files automatically with Azure Information Protection (AIP) sensitivity labels. We have programs in MATLAB that modify Excel files, but because of this, they have started to fail when trying to modify the files. Specifically, when using the writetable function, MATLAB shows the following error:
Unable to write to file ‘D:Prueba xlswriteBenchmark_Colones_1-2años_31-03-2024.xlsx’.
Ensure the file is a valid spreadsheet file and is not password protected.
Is there a way to programmatically provide the credentials needed by Excel to be able to modify the file when it is allowed? writetable, excel, aip MATLAB Answers — New Questions
how can i apply for a paid internship or job
hi my name is andres ima undergrad student currently in UMASS boston and im in need of a job or at least an internship to gain some experience as a software engineer or data analyst i am a veteran and i would like to join mathworks in my state is there a place i can go apply or talk to someone? thank you so much. heres my contact information andres.gamboa001@umb.edu
number is 508-494-0584
sincerely andres gamboahi my name is andres ima undergrad student currently in UMASS boston and im in need of a job or at least an internship to gain some experience as a software engineer or data analyst i am a veteran and i would like to join mathworks in my state is there a place i can go apply or talk to someone? thank you so much. heres my contact information andres.gamboa001@umb.edu
number is 508-494-0584
sincerely andres gamboa hi my name is andres ima undergrad student currently in UMASS boston and im in need of a job or at least an internship to gain some experience as a software engineer or data analyst i am a veteran and i would like to join mathworks in my state is there a place i can go apply or talk to someone? thank you so much. heres my contact information andres.gamboa001@umb.edu
number is 508-494-0584
sincerely andres gamboa job MATLAB Answers — New Questions
Complex value computed by model function, fitting cannot continue. Try using or tightening upper and lower bounds on coefficients.
Hello, I really need some help on data fitting. I would like to fit my data custom equation:a+b*exp((-(x/c))^d. I try to use upper and lower bounds on coefficients but it does not work.If anyone can tell me what to do to resolve this I would greatly appreciate it.Hello, I really need some help on data fitting. I would like to fit my data custom equation:a+b*exp((-(x/c))^d. I try to use upper and lower bounds on coefficients but it does not work.If anyone can tell me what to do to resolve this I would greatly appreciate it. Hello, I really need some help on data fitting. I would like to fit my data custom equation:a+b*exp((-(x/c))^d. I try to use upper and lower bounds on coefficients but it does not work.If anyone can tell me what to do to resolve this I would greatly appreciate it. curve fitting, data fitting MATLAB Answers — New Questions
