Dev

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Even though I think calling it a train and development set would be more correct terminology. And this is actually okay practice if you don’t need a completely unbiased estimate of the performance of your algorithm.

The expectation is that once real software development begins that users will switch to CCS Desktop. By default, snowpack build will build your site using the same unbundled approach as the dev command. This is fine for most projects, but you also may still want to bundle for production.

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Write your code, package it into a Docker image, deploy it to Fly’s platform and let that do all the work to keep your app snappy. Free for side projects, $10/mo of service credit that automatically applies to any paid service. And if you ran really small virtual machines, credits will go a long way. Prismic — Headless CMS. Content management interface with fully hosted and scalable API.

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Legacy browser support, code minification, code-splitting, tree-shaking, dead code elimination, and other performance optimizations are all handled in Snowpack via bundling. Migrating an existing app to Snowpack is meant to be painless, since Snowpack supports https://deveducation.com/ most features and build tools that you’re already using today (Babel, PostCSS, etc). fly.io – Fly is a platform for applications that need to run globally. It runs your code close to users and scales compute in cities where your app is busiest.

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Which maybe isn’t completely a great use of terminology, because they’re then overfitting to the test set. So when the team tells you that they have only a train and a test set, I would just be cautious and think, do they really вум have a train dev set? Because they’re overfitting to the test set. Culturally, it might be difficult to change some of these team’s terminology and get them to call it a trained dev set rather than a trained test set.

You can start by selecting one of the examples in Resource Explorer and then click on the import to CCS cloud button. This will вум start the Code Composer Studio Cloud development environment in another tab in your browser and import the selected project.

In the machine learning world, when you have just a train and a dev set but no separate test set. Most people will call this a training set https://deveducation.com/ and they will call the dev set the test set. But what they actually end up doing is using the test set as a hold-out cross validation set.

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These can then be used by local applications and be exposed remotely via JAX-RS(JSR 339) and provide secure access with OAuth. Snowpack provides an easy way to use a local HTTPS server during development through the use of the –secure flag. When enabled, Snowpack will look for a snowpack.key and snowpack.crt file in the root directory and use that to create an HTTPS server with HTTP2 support enabled. import.meta.env.MODE and import.meta.env.NODE_ENV are also both set to the current process.env.NODE_ENV value, so that you can change app behavior based on dev vs. build.

You can then edit the source code, build the project and program it onto your development board. Use the Salesforce CLI to control the full application life cycle of your apps. You can easily create environments for development and testing, synchronize source code between your orgs and VCS, and execute tests. CCS Cloud is a simplified environment that is really meant for users who are evaluating TI platforms and need a quick way to run demo applications or try out examples.

So having set up a train dev and test set will allow you to integrate more quickly. It will also allow you to more efficiently measure the bias and variance of your algorithm so you can more efficiently select ways to improve your algorithm. Let’s start to talk about that in the next video. When you are ready to begin creating your own applications you have a few options.