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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

Shamshad (Sam) Ansari is the founder, president and CEO of Accure. He drives technology innovations and works with a great team of engineers, data scientists, and business drivers at Accure.

Shamshad (Sam) Ansari is the founder, president, and CEO of Accure. He drives technology innovations and works with a great team of engineers, data scientists, and business drivers at Accure. He takes great pride in working with customers and putting together teams for solving their business problems. Sam is the product architect of Momentum, an AI and automation platform for data engineers, scientists, and business analysts.

Sam brings more than 20 years of technology development and management expertise. He developed, deployed and managed several large scale AI projects. He is a domain expert in healthcare systems, protocols, standards and compliances. Sam is a serial entrepreneur and worked with 4 startups. Prior to starting Accure, he worked with Apixio as the principal architect and director of engineering. He had another successful startup Orbit Solutions where he developed healthcare systems that went through an acquisition. He worked with IBM and the US Government at various capacities.

Sam is a distinguished data scientist, inventor and author. He has several technology publications in his name. He has co-authored 4 US Patents in healthcare AI. He is a well respected authority in computer vision and AI and has authored a book, “Building Computer Vision Applications Using Artificial Neural Networks” that is also translated into other languages including Chinese. Sam contributes to academia as well. He mentors graduate students and sponsors Capstone projects. He is also a member of the Advisory Board, Data Analytics Engineering Department at George Mason University.

Sam has a Master’s degree from Indian Institute of Information Technology & Management, Kerala (IIITM-K) and Bachelor’s degree in engineering from Bihar Institute of Technology Sindri (BIT Sindri).

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.