Amazon SageMaker Canvas Specialized2021年〜
A no-code ML tool for building, training, and deploying machine learning models without writing code
What It Does
Amazon SageMaker Canvas is a visual interface for building ML models without programming. Upload CSV data, select the column you want to predict, and AutoML automatically trains the optimal model. It supports classification, regression, time series forecasting, natural language processing, and image classification.
Use Cases
Sales forecasting, customer churn prediction, inventory demand forecasting, text classification, and image classification - enabling business analysts and domain experts to build ML models without code.
Everyday Analogy
Think of a meal kit. The ingredients (data) and recipe (AutoML) are provided, so even without cooking expertise (ML knowledge), you can follow the steps and produce a finished dish (prediction model).
What Is SageMaker Canvas?
Amazon SageMaker Canvas is a no-code machine learning tool. Business analysts can drag and drop to prepare data, select a prediction target, and SageMaker's AutoML tries multiple algorithms to build the best model. Model accuracy evaluation, running predictions, and exporting results can all be done in the browser.
Data Preparation and Prediction
Canvas can import data from local files (CSV), S3, Redshift, Snowflake, and more. You can visually preview data, check for missing values, and select or exclude columns. Quick Build (2-15 minutes) lets you rapidly test a model, while Standard Build (2-4 hours) produces a higher-accuracy model. Run single predictions or batch predictions with your trained model. For technical background on data preparation and prediction, technical books on Amazon are a useful resource.
Getting Started
Launch Canvas from the SageMaker console and upload a dataset. Select the column you want to predict and click "Quick Build" - a model is ready in minutes. Review the model's accuracy and run predictions on new data.
Things to Watch Out For
- Pay-per-use based on session time and model training time. Quick Build costs less than Standard Build
- For advanced model customization, use SageMaker Studio. Canvas is best suited for rapid prototyping
