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Python Module Index

b | c | d | e | i | m | n | p | r | t | u
 
b
- d3m.base
    d3m.base.primitives
    d3m.base.utils
 
c
d3m.cli
- d3m.container
    d3m.container.dataset
    d3m.container.list
    d3m.container.numpy
    d3m.container.pandas
    d3m.container.utils
- d3m.contrib
    d3m.contrib.openml
    d3m.contrib.openml.crawler
    d3m.contrib.pipelines
    d3m.contrib.primitives
    d3m.contrib.primitives.base
    d3m.contrib.primitives.compute_scores
    d3m.contrib.primitives.null
 
d
d3m
d3m.deprecate
 
e
d3m.environment_variables
d3m.exceptions
 
i
d3m.index
 
m
- d3m.metadata
    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
 
n
d3m.namespace
 
p
- d3m.primitive_interfaces
    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
 
r
d3m.runtime
 
t
d3m.types
 
u
d3m.utils

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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 2022.5.6.dev0 »
  • Python Module Index
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