Version
- This version: 2022.5.6.dev0
- Other versions
Table of Contents
Getting Started
- Get a Docker Image
- Get Datasets
- Get and Run a Pipeline
- Core Package Installation
- Primitives Installation
Guides
Advanced Topics
- Metadata
- Metalearning Database
- Advanced Primitives
- Advanced Pipelines
- Structure of Pipeline Predictions
- Data Preparation and Scoring Pipelines
HOWTOs
- Load Datasets and Problems
- Wrap a Sklearn-compatible Primitive
- Write a Good Primitive
- Reproduce Pipeline Run
- Primitive with Static Files
- Register a Custom Metric
- Register a Custom Problem Type
- Write Tests for Primitives
- Debug a Primitive or Pipeline
- Create a Primitive Based on an Existing Primitive
- Primitives Installation
- Register a Primitive
- Blocklist Primitives
- Manually Run a Primitive
- Build and Extend a Docker Image
- Use Jupyter/Colab
Contribute
Reference
- Core Package Reference
- d3m.base.primitives
- d3m.base.utils
- d3m.cli
- d3m.container.dataset
- d3m.container.list
- d3m.container.numpy
- d3m.container.pandas
- d3m.container.utils
- d3m.contrib.openml.crawler
- d3m.contrib.pipelines
- d3m.contrib.primitives.compute_scores
- d3m.deprecate
- d3m.environment_variables
- d3m.exceptions
- d3m.index
- d3m.metadata.base
- d3m.metadata.hyperparams
- d3m.metadata.params
- d3m.metadata.pipeline
- d3m.metadata.pipeline_run
- d3m.metadata.primitive_names
- d3m.metadata.problem
- d3m.metrics
- d3m.namespace
- d3m.primitive_interfaces.base
- d3m.primitive_interfaces.clustering
- d3m.primitive_interfaces.distance
- d3m.primitive_interfaces.featurization
- d3m.primitive_interfaces.generator
- d3m.primitive_interfaces.supervised_learning
- d3m.primitive_interfaces.transformer
- d3m.primitive_interfaces.unsupervised_learning
- d3m.runtime
- d3m.types
- d3m.utils
- Metadata Schemas
- D3M AutoML RPC
- D3M Dataset and Problem Formats
- Primitives
- Datasets
- MARVIN
- Docker Images List