Jump to Content
Home
Guides
Recipes
Reference
Changelog
v0.17
v0.18
v0.19
v1.0.0
v1.2.0
Guides
Log In
Jump to Content
v1.2.0
Home
Guides
Recipes
Reference
Changelog
End-to-end example using Kaggle H&M fashion dataset
Log In
All
Pages
Start typing to search…
🚀 GETTING STARTED
About BaseModel
Requirements
End-to-End Tutorial
Frequently asked questions
🌐 FOUNDATION MODEL
Foundation Model Stage Overview
Data Model and Sources
Defining Data Sources
Snowflake data sources
Snowflake Snowpark Container Services data sources
ClickHouse data sources
Databricks data sources
Azure Synapse data sources
Google BigQuery data sources
Apache Hive data sources
Parquet data sources
Customizing Data Sets
Data partitioning
Joining additional attributes
Data transformations
Shared entities
Data Types & Feature Encoding
Configuring Parameters
Data configuration
Control of data loading process
Model training configuration
Managing space and memory
End-to-end example configuration
Complete configuration example
Training the Model
⚙️ SCENARIO MODELS
Scenario Model Stage Overview
Defining the Task and Target
Target Function: Inputs
Target Function: Time Windows
Target Function: Operations on Events
Target Function: Examples
Binary Classification Target Function
Multiclass Classification Target Function
Multi-label Classification Target Function
Regression Target Function
Recommendations Target Function
Target Function: Extra Columns
Target Function: Validation
Training scenario model
Customizing the loading from foundation model
Fine-tuning training parameters
Metrics
End-to-end examples of a scenario training scripts
Testing the model
Customizing testing metrics
Making predictions with BaseModel
Advanced recommendation predictions
Interpreting your model's predictions
Treemap visualizations
Single entity interpretations
🛠️ VARIOUS TUTORIALS
Deployment with Docker
Working with checkpoints
Using Snowflake Container Services
Built-in logging
Tracking with MLFlow
Troubleshooting
Foundation Model Training
❄️ Snowflake Native App
Quick Start
Initial installation and configuration
Train your first Foundation Model!
Build your first Fine-tuned Model!
Generate Predictions
Foundation Models
Creating Foundation Model
Defining Data Sources
Data Types & Feature Encoding
Fine-tuned Models
Fine-tuned Models View
Fine-tuned model Configuration view
Inferences
Inferences view
Inferences configuration
Runs
Error Codes
Overview Tab
❓ Knowledge Base
BaseModel Proposition
The WHY: Problem
The WHAT: Solution
The HOW: Implementation
The WIN: Benefits
Temporal data splits
Training, validation, and testing sets
Powered by
Loading
Loading…
