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TIM Tangent Information Modeler
TIM Tangent Information Modeler
- Overview
- Challenges
  Challenges
- Introduction to TIM
  Introduction to TIM
- Input data
  Input data
  - Data properties
- TIM Forecasting
  TIM Forecasting
  - Overview
  - How it works
    How it works
    
    Overview
    
    Model building
    
    Daily cycle and nondaily cycle data
    
    Backtesting
    
    Chaining models
    
    Probabilistic forecasting and prediction intervals
    
    Classification
  - Configuration
    Configuration
    
    Overview
    
    Features
  - Outputs
    Outputs
    
    Overview
    
    TIM forecasting output and how to read it
    
    Model Zoo and how to read it
    
    Root cause analysis and how to read it
    
    Error and warning messages
  - Getting started
    Getting started
    
    RTInstantML production pipeline
  - Solution templates
    Solution templates
    
    Overview
- TIM Anomaly Detection
  TIM Anomaly Detection
  - Overview
  - How it works
    How it works
    
    Overview
    
    Lifecycle
    
    Engine schema
    
    What problems TIM AD can solve
  - Configuration
    Configuration
    
    Overview
    
    Sensitivity
    
    Detection perspectives
  - Outputs
    Outputs
    
    Overview
    
    Anomaly indicator
    
    Root cause analysis
  - Concepts
    Concepts
    
    Best practices
    
    Design of experiment
  - Solution templates
    Solution templates
    
    Overview
    
    Heat consumption
    
    Wind turbine
    
    Manufacturing production line
    
    Root cause analysis
    Root cause analysis
    
    Overview
    
    Heat consumption
  - Glossary
- Dates and times
  Dates and times
- Architecture
  Architecture
- Deployment options
  Deployment options
- Glossary
- FAQ
TIM Studio
TIM Studio
- Overview
- Navigating TIM Studio
- User Groups
- Workspaces
- Use Cases
- Datasets
- Experiments
  Experiments
- User Profile
- License
- Settings
- Older Versions
  Older Versions
  - TIM Studio 1
    TIM Studio 1
    
    Introduction
    
    Usage paths
    
    Workspaces
    
    Datasets
    
    Model Building Definitions
    
    Forecasting Screen
    
    Detection Screen
    
    Experiments
  - TIM Studio 2.0
    TIM Studio 2.0
    
    Overview
    
    Get started
    Get started
    
    Quick start
    
    What is new
    
    Working with TIM Studio
    Working with TIM Studio
    
    Who can use TIM Studio
    
    Navigation
    
    Workflow
    
    Datasets
    Datasets
    
    Datasets overview
    
    Creating new Dataset
    
    Dataset requirements
    
    Exploring Dataset
    
    Sampling period
    
    Downloading data
    
    Updating existing Dataset
    
    Removing Dataset
    
    Use Cases
    Use Cases
    
    What is your Use Case?
    
    Creating new Use Case
    
    Removing Use Case
    
    Experiments
    Experiments
    
    What is an Experiment
    
    Creating new Experiment
    
    Back-testing and Iterations
    
    Evaluating results
    
    Removing Experiment
    
    Production
    Production
    
    From experimenting to production
    
    Creating new forecast
    
    Managing forecasts
    
    MLDevOps
    
    Miscellaneous
    Miscellaneous
    
    Logging into TIM Studio
    
    Resetting your password
    
    Multi-user setup
    
    About page
    
    Roadmap
TIM on Platforms
TIM on Platforms
- Overview
- Alteryx
  Alteryx
  - Overview
  - Installation
  - Authentication
  - Tools
    Tools
    
    Overview
    
    TIM Forecasting tool
    
    TIM Anomaly Detection Build model tool
    
    TIM Anomaly Detection Detect tool
- Azure Data Factory orchestration
  Azure Data Factory orchestration
- Microsoft Excel
  Microsoft Excel
- Microsoft Power BI
  Microsoft Power BI
- Python Client
  Python Client
  - Overview
  - Installation
  - Using the TIM Python Client
    Using the TIM Python Client
    
    Authentication
    
    Dataset Management
    
    Forecasting
    
    Anomaly Detection
    
    Workflow Management
    
    Status Polling
  - Transitioning from v1 to v5
  - Older Versions
    Older Versions
    
    Python Client v1
    Python Client v1
    
    Overview
    
    Installation
    
    Using TIM Python Client
- Qlik Sense
  Qlik Sense
- TIM Edge
  TIM Edge
  - Overview
  - Installation
Release Notes
Release Notes
- Overview
- TIM API
- TIM Studio
- TIM Edge TIM Edge
  Table of contents
  - v5.0.0 [2021-09-14] (current stable release)
    
    New features
- Alteryx Forecasting Tool
- Alteryx Anomaly Detection Tools
- Microsoft Excel Add in
- Python Client
- Qlik SSE

Table of contents

v5.0.0 [2021-09-14] (current stable release)
- New features

TIM Edge

v5.0.0 [2021-09-14] (current stable release)¶

New features¶

Uploading model
Executing predictions asynchronously
Getting status, logs and result table

Previous TIM Studio

Next Alteryx Forecasting Tool

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