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d3m.primitive_interfaces package¶

Submodules¶

  • 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

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Version

  • This version: 2022.5.6.dev0
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Table of Contents

Getting Started

  • Get a Docker Image
  • Get Datasets
  • Get and Run a Pipeline
  • Core Package Installation
  • Primitives Installation

Guides

  • Write and Run a Pipeline
  • Write a Primitive
  • Hyper-parameters
  • Command Line Interface (CLI)

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

  • Contribute to Core Package
  • Testing Core Package
  • Continuous Integration
  • Contribute Documentation

Reference

  • Core Package Reference
  • Metadata Schemas
  • D3M AutoML RPC
  • D3M Dataset and Problem Formats
  • Primitives
  • Datasets
  • MARVIN
  • Docker Images List

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  • d3m.primitive_interfaces package
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