ParallelModel documentation

Build applications using ParallelModel's machine learning APIs.

Integrate machine learning workflows into your applications with APIs for managing models and datasets, submitting processing jobs, monitoring execution, and retrieving results.

Explore step-by-step guides and detailed API references to get started.

• Getting started
• Core API reference

Authentication

Authenticate your application and authorize access to ParallelModel APIs using access tokens and scopes.

Authentication API Reference

Get an access token using your application's client credentials, then include it as a bearer token in API requests.

• Get access token
• Authenticate API requests
• Access scopes
• Manage applications

Blob Storage

Manage datasets, model artifacts, and processing outputs using ParallelModel's blob storage APIs.

Blob Management

Explore the API documentation for each blob operation.

• Create blob
• Upload blob
• Get blob details
• List blobs
• Update blob metadata
• Download blob
• Delete blob
• View blob history

Machine Learning Pipeline

Explore API references for building and running machine learning workflows with ParallelModel.

Scikit-learn Machine Learning

Browse the ParallelModel module documentation.

• parallelmodel
• parallelmodel.base
• parallelmodel.calibration
• parallelmodel.callback
• parallelmodel.cluster
• parallelmodel.compose
• parallelmodel.covariance
• parallelmodel.cross_decomposition
• parallelmodel.datasets
• parallelmodel.decomposition
• parallelmodel.discriminant_analysis
• parallelmodel.dummy
• parallelmodel.ensemble
• parallelmodel.exceptions
• parallelmodel.experimental
• parallelmodel.feature_extraction
• parallelmodel.feature_selection
• parallelmodel.frozen
• parallelmodel.gaussian_process
• parallelmodel.impute
• parallelmodel.inspection
• parallelmodel.isotonic
• parallelmodel.kernel_approximation
• parallelmodel.kernel_ridge
• parallelmodel.linear_model
• parallelmodel.manifold
• parallelmodel.metrics
• parallelmodel.mixture
• parallelmodel.model_selection
• parallelmodel.multiclass
• parallelmodel.multioutput
• parallelmodel.naive_bayes
• parallelmodel.neighbors
• parallelmodel.neural_network
• parallelmodel.pipeline
• parallelmodel.preprocessing
• parallelmodel.random_projection
• parallelmodel.semi_supervised
• parallelmodel.svm
• parallelmodel.tree
• parallelmodel.utils

Artificial Intelligence Pipeline

Explore tools and APIs for building artificial intelligence workflows.

Coming soon

Guides and API references for artificial intelligence pipelines will be available here.