Skip to content

Scrittura documentazione #5

@alelavml3

Description

@alelavml3

Chapter 1 Company and subscriptions

  • COMPLETATO

  • What is a Company?

  • Which info are required?

  • How to add users in a Company?

  • What is a subscription?

  • What are the subscriptions feature modules?

Chapter 2 Project

  • COMPLETATO

  • What is a Project?

  • What entities and modules are at Project level? (kpi, integrations, user roles)

  • What is storage policy?

  • What are demo projects?

Chapter 2.1 KPI monitoring

  • What is a KPI?
  • Why are KPIs at Project level?
  • Why are they monitored?

Chapter 2.2 Integrations

  • What is an integration?
  • When are they used?

Chapter 2.3 Job status

  • What is a job?
  • How can I monitor a job?

Chapter 3 Task

  • task #14

  • What is a Task?

  • What is a Task type? Explain each attribute specific for Task Type

  • What is Data Structure?

  • When should I use optional target?

  • What are cost info?

Chapter 3.1 Data Schema

  • What is data schema?
  • What are mandatory columns?
  • What are Role and Subrole?
  • What are mandatory attributes for each data type?
  • Which are optional columns? (like additional embedding)
  • How can I create a data schema?

Chapter 3.2 Task Home

  • Description of every card in the home

Chapter 3 Models

#20

  • COMPLETATO

  • What is a Model?

  • What is additional probabilistic output?

  • What is metric?

  • What is suggestion type?

  • What is retraining cost?

  • What is retraining trigger?

Chapter 4 Data

  • COMPLETATO

  • How are data represented in Platform? (input, target, prediction)

  • Explain historical, reference, production

  • How to upload data? Explain SDK concepts like Data, DataSource and all the attributes

  • What is production boundary?

  • What is add_target call?

Chapter 4.1 Data Batches

  • What is a data batch?
  • What are consistency rules inside a data batch?

Chapter 5 Monitoring

#16

  • COMPLETATO

  • What is Monitoring module?

  • What is a monitoring target?

  • What is a monitoring metric?

  • How is monitoring done? set reference, add production

Chapter 5.1 Detection page

  • what is a detection event?
  • what is severity?
  • explain different types

Chapter 5.2 Automation rules

  • what is an automation rule?
  • what are the conditions?
  • what are the actions?

Chapter 5.3 Drift explainability

  • what is an explainability report?
  • how and when is it computed?

Chapter 6 Retraining

  • COMPLETATO

  • what is retraining report?

  • how is it computed? new reference as last concept

  • explain every card in the report

  • explain how to get the suggestion via sdk

  • explain suggestion types

Chapter 7 RAG Evaluation report

  • COMPLETATO

  • what is rag evaluation?

  • what are the computed metrics?

  • what are the required data?

Chapter 8 Topic modelling

  • COMPLETATO

  • what is topic modelling?

  • when can I create a report?

  • what is a topic?

Chapter 9 Analytics

  • COMPLETATO

  • what are timeseries?

  • what are plots?

  • what are representations?

  • what is a view?

  • what is a configuration?

Chapter 10 RBAC

  • COMPLETATO

  • what is a role?

  • role tables

Chapter 11 Integrations setup

  • COMPLETATO

  • creating credentials

  • retrain triggers

Chapter 12 API

  • COMPLETATO

  • Python SDK

  • Notebook Examples

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions