Getting Started

• Overview
  • Welcome to the SensiML Toolkit
  • Prerequisites
  • Typical Workflow
  • Data Collection and Quick Start Dataset
    • Example Dataset
    • Live Data Collection
    • Importing External Sensor Data
• Quick Start Project
  • Events
• Data Studio
  • Projects
  • Importing a Project
• Setting Up Project Properties
  • Labels
  • Metadata
  • Adding New Labels or Metadata
• Capturing Sensor Data
  • Configuring Your Device
  • Recording Sensor Data from Your Device
• Labeling Your Data
  • Viewing Your Sensor Data Files
  • Segments
  • Sessions
• Other Useful Features
  • Import Files from External Sources
  • Media Player
  • Recording Videos during Data Collection
• Analytics Studio
  • SensiML AutoML and the SensiML Python SDK
  • Loading the Analytics Studio
• Project Summary
• Querying Data
  • Creating a Query
  • Query Filter
• Building a Model
  • Pipelines
  • Create a New Pipeline
  • Building a Model
  • Pipeline Properties
• Exploring Model Details
  • Confusion Matrix
  • Feature Visualization
  • Feature Embedding
  • Feature Summary
  • Model Summary
  • Pipeline Summary
  • Knowledge Pack Summary
• Testing Model Results
  • Using a Model in the Analytics Studio
  • Using a Model in the Data Studio
• Real-Time Model Classifications
  • 1. Data Studio
  • 2. Open Gateway
  • 3. SensiML TestApp
• Running a Model in the Data Studio
• Running a Model On Your Embedded Device
  • Knowledge Packs
  • Flashing Your Device
  • Connecting To Your Device
• Debugging Bad Results
• Data Collection Planning
  • Determining your metadata
  • Determining events of interest
• Where to go next?
  • New Event Exercise
  • SensiML Python SDK
  • Application Library
  • Automated Labeling Tools
  • Model Rehydration