Chapter 3 HeatWave AutoML

Table of Contents

3.1 HeatWave AutoML Features

3.1.1 HeatWave AutoML Supervised Learning

3.1.2 HeatWave AutoML Ease of Use

3.1.3 HeatWave AutoML Workflow

3.1.4 Oracle AutoML

3.2 HeatWave AutoML Prerequisites

3.3 Getting Started

3.4 Preparing Data

3.4.1 Labeled Data

3.4.2 Unlabeled Data

3.4.3 General Data Requirements

3.4.4 Example Data

3.4.5 Example Text Data

3.5 Training a Model

3.5.1 Advanced ML_TRAIN Options

3.6 Training Explainers

3.7 Predictions

3.7.1 Row Predictions

3.7.2 Table Predictions

3.8 Explanations

3.8.1 Row Explanations

3.8.2 Table Explanations

3.9 Forecasting

3.9.1 Forecasting Model Types

3.9.2 Training a Forecasting Model

3.9.3 Using a Forecasting Model

3.9.4 Prediction Intervals

3.10 Anomaly Detection

3.10.1 Anomaly Detection Model Types

3.10.2 Training an Anomaly Detection Model

3.10.3 Using an Anomaly Detection Model

3.11 Recommendations

3.11.1 Recommendation Model Types

3.11.2 Training a Recommendation Model

3.11.3 Using a Recommendation Model

3.11.4 Generating Recommendations for Ratings and Rankings

3.11.5 Generating Item Recommendations for Users

3.11.6 Generating User Recommendations for Items

3.11.7 Generating Recommendations for Similar Items

3.11.8 Generating Recommendations for Similar Users

3.12 HeatWave AutoML and Lakehouse

3.13 Topic Modeling

3.13.1 Training a Model with Topic Modeling

3.13.2 Table Predictions with Topic Modeling

3.13.3 Row Predictions with Topic Modeling

3.14 Managing Models

3.14.1 The Model Catalog

3.14.2 ONNX Model Import

3.14.3 Loading Models

3.14.4 Unloading Models

3.14.5 Viewing Models

3.14.6 Scoring Models

3.14.7 Model Explanations

3.14.8 Model Handles

3.14.9 Deleting Models

3.14.10 Sharing Models

3.14.11 Data Drift Detection

3.15 Progress tracking

3.16 HeatWave AutoML Routines

3.16.1 ML_TRAIN

3.16.2 ML_EXPLAIN

3.16.3 ML_MODEL_EXPORT

3.16.4 ML_MODEL_IMPORT

3.16.5 ML_PREDICT_ROW

3.16.6 ML_PREDICT_TABLE

3.16.7 ML_EXPLAIN_ROW

3.16.8 ML_EXPLAIN_TABLE

3.16.9 ML_SCORE

3.16.10 ML_MODEL_LOAD

3.16.11 ML_MODEL_UNLOAD

3.16.12 ML_MODEL_ACTIVE

3.16.13 Model Types

3.16.14 Optimization and Scoring Metrics

3.17 Supported Data Types

3.18 HeatWave AutoML Error Messages

3.19 HeatWave AutoML Limitations