What are AI Studio Operators?

The Operators available in AI Studio are the building blocks needed to create a complete Machine Learning solution. You can work with AI Studio in two different ways: through the pre-built templates to easily build your models using the pre-configured templates on various use cases, and through Canvas to automate your Machine Learning Pipelines using various operators. Below there is a list of all available operators.

• Data Reader
  • CSV Data Reader
  • Data S3 Reader
  • Database Reader
• Statistical Analysis
  • Hypothesis Testing
  • Correlation Testing
    Auto EDA
• Data Operation
  • Concat
  • Join
• Variable Operation
  • Class Imbalance
  • Data Transformation
  • Encoder
  • Feature Reduction
  • Normalization
• Record Operation
  • Datatype Analyzer
  • Filter
  • Missing Value Treatment
  • Outlier Detection
  • Sampling
• Feature Synthesis
  • Dimensionality Reduction
  • Expression (fx)
  • Profiling Operator
  • Summarize
• Algorithms
  • Classifier
  • Clustering
  • Forecast
  • Regression
• Auto ML
  • Auto CASH
  • Auto Feature Engineering
  • Auto Feature Selection
• Model Deployment
  • Model Saving
  • Model Score
• Data Writer
  • Data S3 Writer

CUSTOM OPERATOR

Pre-built templates

List of operators to create new pipeline

Please see our operator overview video here for a gentle introduction to the AI Studio operators.