Michio JP

Michio JP

1635317095

A SageMaker Projects Template to Deploy a Model from Model Registry

SageMaker Projects: Multiple Choice Deployment

A SageMaker Projects template to deploy a model from Model Registry, choosing your preferred method of deployment among async (Asynchronous Inference), batch (Batch Transform), realtime (Real-time Inference Endpoint). More to be added soon!

project-parameters.png

Adding the template to Studio (courtesy of sagemaker-custom-project-templates)

1. Create a Service Catalog Portfolio

  • Open the AWS Service Catalog console at https://console.aws.amazon.com/servicecatalog/
  • If you are using the AWS Service Catalog administrator console for the first time, choose Launch solutions with the Getting Started library to start the wizard for configuring a portfolio. Otherwise, choose Create portfolio.
  • Type the following values:
    • Portfolio name – SageMaker MLOps Templates
    • Description – Custom project templates for MLOps
    • Owner – IT (it@example.com)
  • Choose Create.

2. Create a Service Catalog Product

  • Clone this repository
  • Execute sh init.sh <AWS-BUCKET>
  • Choose and open the portfolio created in the steps above.
  • Next choose a product and then choose Upload new product.
  • On the Enter product details page, type the following and then choose Next:
    • Product name – Customisable deploy project
    • Description – Bootstrapped templated for quick starting an MLOps workflow
    • Owner – IT
    • Distributor – (blank)
  • On the Version details page, choose Specify an Amazon S3 template URL, type the following, and then choose Next:
    • Select template – upload the template provided in this repo
    • Version title – v0.1
    • Description – Base Version
  • On the Enter support details page, type the following and then choose Next (this information will be organization specific):
  • On the Review page, choose Create product

3. Add a Launch Constraint

A launch constraint designates an IAM role that AWS Service Catalog assumes when an end user launches a product. This ensures that Service Catalog has the required permissions to provision the product (CloudFormation template).

Create IAM roles

  • Open the IAM Console at https://console.aws.amazon.com/iam/
  • Navigate to 'Policies' and choose 'Create Policy'
    • Create the policy required to launch this template (the examples in this repo may contain sample policies to use).
    • Choose Next, Review policy, enter a suitable name and choose Create policy
  • To create the role, choose Roles from the navigation pane
    • Choose AWS service as the Trusted entity and choose "Service Catalog"
  • Repeat the steps to create both the ServiceCatalogLaunch and ServiceCatalogUse roles.

Add Launch constraint

  • Open Service Catalog console at https://console.aws.amazon.com/servicecatalog/
    • Choose the portfolio you created in Step 1
    • In the details page, choose Constraints tab
    • Choose Create constraint, and choose the product from Step 2
    • Choose 'Launch' as the constraint type, and choose the ServiceCatalogLaunch role you just created.
    • Add an optional description and click Create.

4. Making the product available in SageMaker Studio

Add users/roles to the Portfolio.

You can grant access to the Portfolio directly through the console, or add the servicecatalog:ProvisionProduct to the Studio's IAM role.

To add access through the console,

  • On the portfolio details page, choose the Groups, roles, and users tab.
  • Choose Add groups, roles, users.
  • On the Roles tab, select the checkbox for SageMaker Studio execution role and choose Add access. Alternatively, you can use IAM groups or IAM Users through the Groups and Users tabs respectively.

Tags

To make your project template available in your Organization templates list in SageMaker Studio, create a tag with the following key and value to the AWS Service Catalog Product you created in step 2.

  • key - sagemaker:studio-visibility
  • value - true

After you complete these steps, SageMaker Studio users in your organization can create a project with the template you created by following the steps in Create an MLOps Project using Amazon SageMaker Studio and choosing Organization templates when you choose a template.

You can also add custom key-value tag pairs to restrict access to templates based on teams or users.

Note: If you don't see the template under Organizational Templates, ensure that the tag is added as-is to the Product, and not the Portfolio.

Creating the project

  • Open SageMaker Studio and sign in to your user profile.
  • Choose the SageMaker components and registries icon on the left, and choose Create project button.
  • Switch to the Organization templates tab. The default view displays SageMaker templates.
  • The template you created will be displayed in the screen. (If you do not see it yet, make sure the execution role is added to the product and the sagemaker:studio-visibility tag is added exactly as described above).
  • Choose the template and click Select project template.
  • Enter a name and optional description for the project. Then, provide the ModelPackageGroupName that you wish to use. Finally, choose in the dropdown menu whether you want to deploy a real-time endpoint, an asynchronous inference endpoint, or a batch transform pipeline.
  • Make sure to change the config-*.json files after locally cloning the created repository to your environment of choice, then push those changes to CodeCommit.
  • You can now check the progress of the updates in CodePipeline.

Download Details:
 

Author: dgallitelli
Download Link: Download The Source Code
Official Website: https://github.com/dgallitelli/sm-project-mutliple-choice-deployment 
License: MIT License

#python 

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A SageMaker Projects Template to Deploy a Model from Model Registry
Shawn  Durgan

Shawn Durgan

1595547778

10 Writing steps to create a good project brief - Mobile app development

Developing a mobile application can often be more challenging than it seems at first glance. Whether you’re a developer, UI designer, project lead or CEO of a mobile-based startup, writing good project briefs prior to development is pivotal. According to Tech Jury, 87% of smartphone users spend time exclusively on mobile apps, with 18-24-year-olds spending 66% of total digital time on mobile apps. Of that, 89% of the time is spent on just 18 apps depending on individual users’ preferences, making proper app planning crucial for success.

Today’s audiences know what they want and don’t want in their mobile apps, encouraging teams to carefully write their project plans before they approach development. But how do you properly write a mobile app development brief without sacrificing your vision and staying within the initial budget? Why should you do so in the first place? Let’s discuss that and more in greater detail.

Why a Good Mobile App Project Brief Matters?

Why-a-Good-Mobile-App-Project-Brief-Matters

It’s worth discussing the significance of mobile app project briefs before we tackle the writing process itself. In practice, a project brief is used as a reference tool for developers to remain focused on the client’s deliverables. Approaching the development process without written and approved documentation can lead to drastic, last-minute changes, misunderstanding, as well as a loss of resources and brand reputation.

For example, developing a mobile app that filters restaurants based on food type, such as Happy Cow, means that developers should stay focused on it. Knowing that such and such features, UI elements, and API are necessary will help team members collaborate better in order to meet certain expectations. Whether you develop an app under your brand’s banner or outsource coding and design services to would-be clients, briefs can provide you with several benefits:

  • Clarity on what your mobile app project “is” and “isn’t” early in development
  • Point of reference for developers, project leads, and clients throughout the cycle
  • Smart allocation of available time and resources based on objective development criteria
  • Streamlined project data storage for further app updates and iterations

Writing Steps to Create a Good Mobile App Project Brief

Writing-Steps-to-Create-a-Good-Mobile-App-Project-Brief

1. Establish the “You” Behind the App

Depending on how “open” your project is to the public, you will want to write a detailed section about who the developers are. Elements such as company name, address, project lead, project title, as well as contact information, should be included in this introductory segment. Regardless of whether you build an in-house app or outsource developers to a client, this section is used for easy document storage and access.

#android app #ios app #minimum viable product (mvp) #mobile app development #web development #how do you write a project design #how to write a brief #how to write a project summary #how to write project summary #program brief example #project brief #project brief example #project brief template #project proposal brief #simple project brief template

Autumn  Blick

Autumn Blick

1593867420

Top Android Projects with Source Code

Android Projects with Source Code – Your entry pass into the world of Android

Hello Everyone, welcome to this article, which is going to be really important to all those who’re in dilemma for their projects and the project submissions. This article is also going to help you if you’re an enthusiast looking forward to explore and enhance your Android skills. The reason is that we’re here to provide you the best ideas of Android Project with source code that you can choose as per your choice.

These project ideas are simple suggestions to help you deal with the difficulty of choosing the correct projects. In this article, we’ll see the project ideas from beginners level and later we’ll move on to intermediate to advance.

top android projects with source code

Android Projects with Source Code

Before working on real-time projects, it is recommended to create a sample hello world project in android studio and get a flavor of project creation as well as execution: Create your first android project

Android Projects for beginners

1. Calculator

build a simple calculator app in android studio source code

Android Project: A calculator will be an easy application if you have just learned Android and coding for Java. This Application will simply take the input values and the operation to be performed from the users. After taking the input it’ll return the results to them on the screen. This is a really easy application and doesn’t need use of any particular package.

To make a calculator you’d need Android IDE, Kotlin/Java for coding, and for layout of your application, you’d need XML or JSON. For this, coding would be the same as that in any language, but in the form of an application. Not to forget creating a calculator initially will increase your logical thinking.

Once the user installs the calculator, they’re ready to use it even without the internet. They’ll enter the values, and the application will show them the value after performing the given operations on the entered operands.

Source Code: Simple Calculator Project

2. A Reminder App

Android Project: This is a good project for beginners. A Reminder App can help you set reminders for different events that you have throughout the day. It’ll help you stay updated with all your tasks for the day. It can be useful for all those who are not so good at organizing their plans and forget easily. This would be a simple application just whose task would be just to remind you of something at a particular time.

To make a Reminder App you need to code in Kotlin/Java and design the layout using XML or JSON. For the functionality of the app, you’d need to make use of AlarmManager Class and Notifications in Android.

In this, the user would be able to set reminders and time in the application. Users can schedule reminders that would remind them to drink water again and again throughout the day. Or to remind them of their medications.

3. Quiz Application

Android Project: Another beginner’s level project Idea can be a Quiz Application in android. Here you can provide the users with Quiz on various general knowledge topics. These practices will ensure that you’re able to set the layouts properly and slowly increase your pace of learning the Android application development. In this you’ll learn to use various Layout components at the same time understanding them better.

To make a quiz application you’ll need to code in Java and set layouts using xml or java whichever you prefer. You can also use JSON for the layouts whichever preferable.

In the app, questions would be asked and answers would be shown as multiple choices. The user selects the answer and gets shown on the screen if the answers are correct. In the end the final marks would be shown to the users.

4. Simple Tic-Tac-Toe

android project tic tac toe game app

Android Project: Tic-Tac-Toe is a nice game, I guess most of you all are well aware of it. This will be a game for two players. In this android game, users would be putting X and O in the given 9 parts of a box one by one. The first player to arrange X or O in an adjacent line of three wins.

To build this game, you’d need Java and XML for Android Studio. And simply apply the logic on that. This game will have a set of three matches. So, it’ll also have a scoreboard. This scoreboard will show the final result at the end of one complete set.

Upon entering the game they’ll enter their names. And that’s when the game begins. They’ll touch one of the empty boxes present there and get their turn one by one. At the end of the game, there would be a winner declared.

Source Code: Tic Tac Toe Game Project

5. Stopwatch

Android Project: A stopwatch is another simple android project idea that will work the same as a normal handheld timepiece that measures the time elapsed between its activation and deactivation. This application will have three buttons that are: start, stop, and hold.

This application would need to use Java and XML. For this application, we need to set the timer properly as it is initially set to milliseconds, and that should be converted to minutes and then hours properly. The users can use this application and all they’d need to do is, start the stopwatch and then stop it when they are done. They can also pause the timer and continue it again when they like.

6. To Do App

Android Project: This is another very simple project idea for you as a beginner. This application as the name suggests will be a To-Do list holding app. It’ll store the users schedules and their upcoming meetings or events. In this application, users will be enabled to write their important notes as well. To make it safe, provide a login page before the user can access it.

So, this app will have a login page, sign-up page, logout system, and the area to write their tasks, events, or important notes. You can build it in android studio using Java and XML at ease. Using XML you can build the user interface as user-friendly as you can. And to store the users’ data, you can use SQLite enabling the users to even delete the data permanently.

Now for users, they will sign up and get access to the write section. Here the users can note down the things and store them permanently. Users can also alter the data or delete them. Finally, they can logout and also, login again and again whenever they like.

7. Roman to decimal converter

Android Project: This app is aimed at the conversion of Roman numbers to their significant decimal number. It’ll help to check the meaning of the roman numbers. Moreover, it will be easy to develop and will help you get your hands on coding and Android.

You need to use Android Studio, Java for coding and XML for interface. The application will take input from the users and convert them to decimal. Once it converts the Roman no. into decimal, it will show the results on the screen.

The users are supposed to just enter the Roman Number and they’ll get the decimal values on the screen. This can be a good android project for final year students.

8. Virtual Dice Roller

Android Project: Well, coming to this part that is Virtual Dice or a random no. generator. It is another simple but interesting app for computer science students. The only task that it would need to do would be to generate a number randomly. This can help people who’re often confused between two or more things.

Using a simple random number generator you can actually create something as good as this. All you’d need to do is get you hands-on OnClick listeners. And a good layout would be cherry on the cake.

The user’s task would be to set the range of the numbers and then click on the roll button. And the app will show them a randomly generated number. Isn’t it interesting ? Try soon!

9. A Scientific Calculator App

Android Project: This application is very important for you as a beginner as it will let you use your logical thinking and improve your programming skills. This is a scientific calculator that will help the users to do various calculations at ease.

To make this application you’d need to use Android Studio. Here you’d need to use arithmetic logics for the calculations. The user would need to give input to the application that will be in terms of numbers. After that, the user will give the operator as an input. Then the Application will calculate and generate the result on the user screen.

10. SMS App

Android Project: An SMS app is another easy but effective idea. It will let you send the SMS to various no. just in the same way as you use the default messaging application in your phone. This project will help you with better understanding of SMSManager in Android.

For this application, you would need to implement Java class SMSManager in Android. For the Layout you can use XML or JSON. Implementing SMSManager into the app is an easy task, so you would love this.

The user would be provided with the facility to text to whichever number they wish also, they’d be able to choose the numbers from the contact list. Another thing would be the Textbox, where they’ll enter their message. Once the message is entered they can happily click on the send button.

#android tutorials #android application final year project #android mini projects #android project for beginners #android project ideas #android project ideas for beginners #android projects #android projects for students #android projects with source code #android topics list #intermediate android projects #real-time android projects

Michael  Hamill

Michael Hamill

1617331277

Workshop Alert! Deep Learning Model Deployment & Management

The Association of Data Scientists (AdaSci), the premier global professional body of data science and ML practitioners, has announced a hands-on workshop on deep learning model deployment on February 6, Saturday.

Over the last few years, the applications of deep learning models have increased exponentially, with use cases ranging from automated driving, fraud detection, healthcare, voice assistants, machine translation and text generation.

Typically, when data scientists start machine learning model development, they mostly focus on the algorithms to use, feature engineering process, and hyperparameters to make the model more accurate. However, model deployment is the most critical step in the machine learning pipeline. As a matter of fact, models can only be beneficial to a business if deployed and managed correctly. Model deployment or management is probably the most under discussed topic.

In this workshop, the attendees get to learn about ML lifecycle, from gathering data to the deployment of models. Researchers and data scientists can build a pipeline to log and deploy machine learning models. Alongside, they will be able to learn about the challenges associated with machine learning models in production and handling different toolkits to track and monitor these models once deployed.

#hands on deep learning #machine learning model deployment #machine learning models #model deployment #model deployment workshop

Micheal  Block

Micheal Block

1597820400

Deploy your own model with AWS Sagemaker

Sagemaker is a fully managed machine learning service,which provides you support to build models using built-in-algorithms, with native support for bring-your-own-algorithms and ML frameworks such as Apache MXNet, PyTorch, SparkML, Tensorflow and Scikit-Learn.

In this post, I’ll walk through how to deploy a machine learning model which is built and trained locally using custom algorithm, as a REST API using Sagemaker, lambda and docker.

I’ll break the process in to 5 steps

  • Step 1: Building the model and saving the artifacts.
  • Step 2: Defining the server and Inference code.
  • Step 3: Build a Sagemaker Container.
  • Step 4: Creating Model, Endpoint Configuration, and Endpoint.
  • Step 5: Invoking the model using a lambda with API Gateway trigger.

Step 1: Building the model and saving the artifacts.

Build the model and serialize the object, which is used for prediction. In this post, I’m using simple Linear Regression, one independent variable.

Once you serialize the python object to pickle file, save that artifact(pickle file) in tar.gz format and upload in a S3 bucket.

Image for post

Step 2: Defining the server and inference code.

When an endpoint is invoked Sagemaker interacts with the Docker container, which runs the inference code for hosting services and processes the request and returns the response.Containers need to implement a web server that responds to /invocations and /ping on port 8080.

Inference code in the container will receive GET requests from the infrastructure and it should respond to Sagemaker with an HTTP 200 status code and an empty body, which indicates that the container is ready to accept inference requests at invocations endpoint.

And invocations is the endpoint that receives POST requests and responds according to the format specified in the algorithm

To make the model REST API, you need Flask, which is WSGI(Web Server Gateway Interface) application framework, Gunicorn the WSGI server, and **nginx **the reverse-proxy and load balancer.

Code : https://github.com/NareshReddyy/Sagemaker_deploy_own_model.git

Step 3: Sagemaker Container.

Sagemaker uses docker containers extensively. You can put your scripts, algorithms, and inference code for your models in the containers, which includes the runtime, system tools, libraries and other code to deploy your models, which provides flexibility to run your own model.

You create Docker containers from images that are saved in a repository. You build the images from scripted instructions provided in a Dockerfile.

#mlops #sagemaker #aws-sagemaker #deploy-model #sagemaker-rest-api

Dominic  Feeney

Dominic Feeney

1624480080

A library for training and deploying machine learning models on Amazon SageMaker

SageMaker Python SDK

SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker.

With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow. You can also train and deploy models with Amazon algorithms, which are scalable implementations of core machine learning algorithms that are optimized for SageMaker and GPU training. If you have your own algorithms built into SageMaker compatible Docker containers, you can train and host models using these as well.

View Documentation View Github

Installing the SageMaker Python SDK

The SageMaker Python SDK is built to PyPI and can be installed with pip as follows:

pip install sagemaker

You can install from source by cloning this repository and running a pip install command in the root directory of the repository:

git clone https://github.com/aws/sagemaker-python-sdk.git
cd sagemaker-python-sdk
pip install .

#machine learning #models #aws #tensorflow #a library for training and deploying machine learning models on amazon sagemaker #amazon sagemaker