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Feature Store

Feature Store is a central repository to store the feature data used in training the ML models. After the model is deployed to MLOps, the training set and test sets must be uploaded for auditing, model recreation, audit compliance, and other regulatory and business requirements. 

In addition, the training and test sets must be uploaded to the Feature Store for Data Drift Detection and Model Performance Report. 

To upload the training and test sets to Feature Store: 

  1. If you are on the Model registry page, click the icon corresponding to a model for which the data needs to be uploaded to Feature Store. 
  1. If you are already on the model Artifact or Metadata page, you will see a Feature Store link at the top menu bar. Clicking the Feature Store icon or menu item will bring the Feature Store page. Figure 4.5 shows the Feature Store page. 

Figure 4.5: Feature Store page 

  1. On the Feature Store page: 
  1. Dataset: select either training or test set to upload the relevant dataset 
  1. File Type: Select the file format (json, parquet, or csv) 
  1. Browse to the data file to your local computer and upload by clicking the Submit button. 
  1. If you deployed model directly from Momentum to MLOps, make sure to download the training and test sets from Momentum and upload to Feature Store. 
  1. To download the training or test sets, login to Momentum 
  1. Go to Data Upload and Exploration section 
  1. Select the training or test sets you used in the model 
  1. Click the Download menu item located at the top menu bar. 
  1. The downloaded file will be a zipped file. Unzip it. You may have multiple files within the zipped file. Make sure to upload all of the training or test files one by one. 
  1. If you deployed a third-party model (not from Momentum), make sure to acquire the training and test sets in one of the supported file formats, and the upload to the Feature Store. 
  1. You can also upload the training and test sets to MLOps via Restful API. The API specification, with a sample Python code, is provided on the Feature Store page. Here is a sample CURL command to upload data to Feature Store via Rest API: 

curl -X PUT -H ‘Content-Type:multipart/form-data’ -H ‘Authorization: Token 1234567890987654321‘ -F ‘data_file=@myfile.csvhttp://one.accure.ai:443/mlops/v1/upload_dataset/LSTM_Test_Model/2/default_cluster/dataset_category/file_type 

Import Note: For Regression models, the training and test sets must have the target field labeled as “target” even if the model was trained with a different column name of the target field. This is likely to change in the future but for now, rename your label field before uploading to Feature Store. You do not need to change anything in your model, Just the training and test datasets. 

Table of Contents

Lester Firstenberger

Lester is recognized nationally as a regulatory attorney and expert in consumer finance, securitization, mortgage, and banking law.

Lester is recognized nationally as a regulatory attorney and expert in consumer finance, securitization, mortgage, and banking law. In a variety of capacities, over the past 30 years as an attorney, Mr. Firstenberger has represented the interests of numerous financial institutions in transactions valued in excess of one trillion dollars. He was appointed to and served a three-year term as a member of the Consumer Advisory Council of the Board of Governors of the Federal Reserve System. He has extensive governmental relations experience in the US and Canada at both the federal and state and provincial levels.

Shamshad (Sam) Ansari is an author, inventor, and thought leader in the fields of computer vision, machine learning, artificial intelligence, and cognitive science. He has extensive experience in high scale, distributed, and parallel computing. Sam currently serves as an Adjunct Professor at George Mason University, teaching graduate- level programs within the Data Analytics Engineering department of the Volgenau School of Engineering. His areas of instruction encompass machine learning, natural language processing, and computer vision, where he imparts his knowledge and expertise to aspiring professionals.

Having authored multiple publications on topics such as machine learning, RFID, and high-scale enterprise computing, Sam’s contributions extend beyond academia. Sam’s book, titled “Building Computer Vision Applications Using Artificial Neural Networks,” has garnered acclaim with two published editions. It received recognition as one of the top 10 books ever written on this subject by bookauthority.org, highlighting the significant impact and quality of Sam’s contributions to the field. He holds four US patents related to healthcare AI, showcasing his innovative mindset and practical application of technology.

Throughout his extensive 20+ years of experience in enterprise software development, Sam has been involved with several tech startups and early-stage companies. He has played pivotal roles in building and expanding tech teams from the ground up, contributing to their eventual acquisition by larger organizations. At the beginning of his career, he worked with esteemed institutions such as the US Department of Defense (DOD) and IBM, honing his skills and knowledge in the industry.

Currently, Sam serves as the President and CEO of Accure, Inc., an AI company that he founded. He is the creator, architect, and a significant contributor to Momentum AI, a no-code platform that encompasses data engineering, machine learning, AI, MLOps, data warehousing, and business intelligence. Throughout his career, Sam has made notable contributions in various domains including healthcare, retail, supply chain, banking and finance, and manufacturing. Demonstrating his leadership skills, he has successfully managed teams of software engineers, data scientists, and DevSecOps professionals, leading them to deliver exceptional results. Sam earned his bachelor’s degree in engineering from Birsa Institute of Technology (BIT) Sindri and subsequently a Master’s degree from the prestigious Indian Institute of Information Technology and Management Kerala (IIITM-K).

Moghisuddin Raza

Mogishuddin Raza is a technology leader. As the COO of Accure he is having global product delivery responsibility along with overall strategic and operational responsibility.

Mogishuddin Raza is a technology leader. As the COO of Accure he is having global product delivery responsibility along with overall strategic and operational responsibility.

Having extensive background in technology product development and integration, in particular to Enterprise storage, virtualization, cloud computing, high availability & business continuity technology/solutions, and Big Data & related technologies. Has been passionate and evangelizing the usage of Big data technologies using Momentum to implement advanced analytics (descriptive and predictive) to directly impact the business via an intuitive set of use cases.

Having approximately two decades of experience in high-tech industries which includes big MNCs corporate like EMC Corp and Hewlett-Packard to mid-size organization such as Netkraft, Trados Inc driving transformation in strategizing, planning and architecting product engineering, execution and delivery of high quality products releases within budget & time.

Skilled in all aspects of big MNCs as well as company startups and growth including: strategizing, business planning, market research, finance, product development and profit margins & revenue management. Excellent leadership and people motivation skills. Expert in managing cross-functional, cross cultural global team and building strategic partnership in the global virtual matrix team environment.

Overall, a senior software business professional, skilled in the management of people, resources and partnerships which enables building an eco system for a winning organization.



Rajesh Kumar Nedungadi

Scion of A Former Royal House of Kerala, India President Garuttman Group, USA. Rajesh is an entrepreneur & visionary specializing in International Business Strategy and Market Development with focus on Middle East & North America. With over 20 years’ experience in international trade, Rajesh is an expert on Business Strategy Development, Market Opportunity Development and International Sales & Marketing of Products and Services including the IT Industry. Rajesh is working as Managing Partner / Board Member of many companies including, Globistic Company USA, Castlewick Companies, USA.

Former Gartner Analyst having authored or co-authored over 280 research notes, on emerging technologies like AI, SD-WAN, 5G, mobile video, cloud CDN, IoT, SASE in Cybersecurity, 6G, etc. in the past decade. A frequent speaker at tech events, he is often quoted in leading institutions like CNN, Wall St. Journal, etc. He is a former CTO of one of the first video/WiFi smartphone firms. Currently also a Cybersecurity Advisor at Lionfish Tech Advisors, and on the advisory board for a few startups.

 Sharma helped contribute to fly-by-wire standards used in avionics and holds an Engineering degree in Computer Systems Engineering from Carleton University in Canada and completed graduate coursework in AI/ML from there.

His Engineering Thesis was on the application of Hopfield’s Neural Networks applied to Combinatorial Optimization.

Mike joined Accure as the Senior Vice President of Sales after leaving MarkLogic where he worked for 17 years and held several executive sales positions including his last role leading the global sales strategy. Prior to MarkLogic, Mike spent 10 years at Autonomy as VP of sales for their Business Process Management practice. He began his career in database technology with Informix in the Chicago area where he led Channel Sales for Central US.

When not driving Accure’s sales, Mike spends time with his lovely wife, Meg, two daughters, Leigh Rose and Georgia, and his puppy Kalua (“Lulu”).