Feature List
  • 8.x
    • Team Feature
      • Data-Prep Features
      • Pipeline Features
        • What's New Window Pop-up
        • Failure Db-Sync
        • Testing for Kafka 3.1.0
        • Python 3.10 R&D
        • Job History
        • SPC (Single Page for Configuration)
        • Python Jobs
        • Failure Alerts
        • Event Channel Alerts
        • Pipeline Error handling
        • Pipeline : PySpark Component (PySpark Job)
      • Dashboard Charting
        • Widget as component
        • Knowledge Graph Chart
          • Sample Library based code
        • Word Cloud
        • Tile component
        • Sankey Chart
        • Model as API Connector
        • Dataprep recipe in Dataset selection
        • Decomposition Enhancment
      • Python Upgrade
        • Core Platform : Data Services
        • Core Platform : Data Catalog
        • Core Platform : Data Center
        • Data Science Lab
      • Sonar Code Scan automation by DevOps
      • DS Lab PySpark Project.
      • Core Platform
        • Tag Feature For Data Connector , Dataset , DataStore etc..
        • DataStore & Metadatastore Migration
        • MongoDB & ClickHouse Support For DataSheet
        • Data As API WorkBench
        • Pagination in Home , DataCenter , Dataset , DataStore etc..
        • Sharing Data Connector & Data Set with View or Edit Permission.
        • Core Monitoring & Alerting
      • Data Science Lab
        • Auto Forecasting Requirements
          • User Input
          • Forecasting Method
          • Explainability
        • DSLAB Sprint May1-2023-May12-2023
        • DS LAB Sprint Apr10-Apr21
        • Provide Static Variables for DSLAB Component In AutoML
        • Scheduler For DSLAB Scripts
        • Optimisation of Model Explainability code
    • QA
    • DevOps
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  1. 8.x
  2. Team Feature

Data Science Lab

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Last updated 1 year ago

8.x Features

S/N
Feature / Link
Sprint
Status
JIRA
1

DS LAB Sprint Apr10-Apr21
Backlog

2

BentoML Sunset

DS LAB Sprint Apr10-Apr21
Backlog

3

Statsmodel Support in Inference(Pipeline)

Backlog

4

Scheduler for DSLAB Notebooks:

Backlog

5

Model Explainability as a JOB( send notification once completed )

Backlog

6

Optimisation of Model Explainability code (run on more data quickly)

Backlog

7

Requirements.txt to be uploaded from UI

Backlog

8

Provide Static Variables for AutoML

Backlog

9

Provide Static Variables for DSLAB Component In Pipeline

Backlog

10

Time Series Support for AutoML

Backlog

11

Auto Save functionality for Notebook in DSLAB

Backlog

12

DS Lab Models share with users

Backlog

Python 3.10 upgrade
https://bdbizviz.atlassian.net/browse/DL-1362
https://bdbizviz.atlassian.net/browse/DL-1351
https://bdbizviz.atlassian.net/browse/DL-1363
https://bdbizviz.atlassian.net/browse/DL-1269
https://bdbizviz.atlassian.net/browse/DL-38