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Python SDK Reference
Python SDK Reference
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Python SDK Reference
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Documentation
🥑 Getting Started
Installation
💾 Data Management
Importing Data
Update Tags of Data
Create a Dataset
Import annotations
Create a new Dataset Version
Set up your labels for Annotation
Import annotation from other Dataset version
Annotate your Dataset
📈 Experiment Tracking
Create an Experiment
Get an experiment
Log results
Store Artifacts
Pull and Patch Logs & Artifacts
📘 Model Management
Export an Experiment
🚀 Model Deployment
Deploy
👀 Model Monitoring
Monitor Model Predictions
Unsupervised Metrics
In depth explanation
Custom Objects
Annotation formats
The labelmap Object
Train-Test Split Object
Namespace
Computed Metrics
AE Outlier
KS Drift ( Kolmogorov-Smirnov Test)
Tide Errors ( Object detection )
Tutorials
Package your models
What can you register ?
How to register a Model
Use your Model as base
Dockerize your code
⏭️ Quick Start Guide
1️⃣ Set up account, organization and SDK
2️⃣ Access to documentation
3️⃣ Import your data in the datalake
4️⃣ Create your first dataset
5️⃣ Import your annotations
6️⃣ Inherit a new dataset version
7️⃣ Create your project and launch experiments
8️⃣ Deploy a model and set up the feedback loop
9️⃣ Make predictions
🔟 Conclusion
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📘 Model Management
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Updated 10 months ago
