“`html

How to Retrieve Evaluation Metrics in SageMaker Studio

Hi there! I completely understand how confusing the new SageMaker Studio interface can be, especially after the updates. Here’s a step-by-step guide to help you find your evaluation metrics:

1. Open SageMaker Studio: Launch your SageMaker Studio environment if you haven’t already.
2. Navigate to the Training Jobs Section: Look for the left sidebar where you’ll find an option for “Training Jobs.” Click on it to see the list of all your training jobs.
3. Select Your Job: Find and click on the training job that you want to evaluate. This will take you to the detailed view of that job.
4. Check the Metrics Tab: In the job details, there should be a tab labeled “Metrics.” Click on that tab to see the relevant evaluation metrics for your model.
5. Review the Metrics: Here, you’ll find various metrics like accuracy, precision, recall, etc., depending on what you selected during training.

If you still can’t find the metrics, ensure you’ve completed the evaluation step properly, as metrics may only be available once the evaluation phase is completed. Additionally, sometimes it helps to refresh the page or check the permissions on the project if you’re in a team environment.

I hope this helps you retrieve your evaluation metrics! Let me know if you have any further questions or need additional assistance. Good luck!

Best,
A fellow SageMaker user

“`

Hey there!

Hope you’re doing well too! I recently worked on a similar project that involved modifying PDFs using AWS Lambda with Node.js, so I’m happy to share my experience with both PDF-lib and PDFKit.

1. **Library Choice**: Between PDF-lib and PDFKit, I found **PDF-lib** to be a better fit for your use case. PDF-lib provides a more straightforward API for modifying existing PDFs, which is great for adding text and adjusting images. It also supports merging PDFs, making it versatile for your needs. PDFKit is more focused on creating PDFs from scratch, which might not be as beneficial since you’re looking to modify existing files.

2. **Lambda Environment**: Both libraries can work in a serverless environment like Lambda, but I found PDF-lib to have a lighter footprint, which is crucial for performance. It also avoids some of the complexities that can come with PDFKit, especially when dealing with dependencies for image handling.

3. **Code Snippets**: Here’s a simple example of how you can use PDF-lib to add text and mix multiple PDFs:

“`javascript
const { PDFDocument, rgb } = require(‘pdf-lib’);
const fs = require(‘fs’);

exports.handler = async (event) => {
// Load a PDF document
const existingPdfBytes = await fetch(‘https://example.com/yourfile.pdf’).then(res => res.arrayBuffer());
const pdfDoc = await PDFDocument.load(existingPdfBytes);

// Add text to PDF
const page = pdfDoc.getPage(0);
page.drawText(‘Hello, world!’, {
x: 50,
y: 700,
size: 30,
color: rgb(0, 0, 0),
});

// Merge with another PDF (assuming you’ve loaded the second PDF similarly)
const secondPdfBytes = await fetch(‘https://example.com/secondfile.pdf’).then(res => res.arrayBuffer());
const secondPdfDoc = await PDFDocument.load(secondPdfBytes);
const secondPage = await pdfDoc.copyPages(secondPdfDoc, [0]);
pdfDoc.addPage(secondPage[0]);

// Serialize the PDF document to bytes (for storage or response)
const pdfBytes = await pdfDoc.save();

// Save or return the pdfBytes here
return pdfBytes;
};
“`

4. **Performance Optimization**: A couple of best practices for Lambda functions:
– **Memory Allocation**: Ensure your Lambda function has sufficient memory allocated; this directly affects its CPU power as well. More memory can lead to faster execution times.
– **Cold Starts**: If you’re concerned about cold starts, consider keeping your Lambda function warm with a scheduled event, especially if it’s not being triggered frequently.
– **Avoid large PDF uploads**: If your PDFs are large, consider S3 for initial uploads and keep processing lightweight to avoid hitting execution time limits.

Feel free to ask if you have more questions or need clarification on anything! Good luck with your project!