Skip to main content

Pytorch extension for Openml python API

Project description

Pytorch extension for OpenML python

Pytorch extension for openml-python API.

Installation Instructions:

pip install openml-pytorch

PyPi link https://pypi.org/project/openml-pytorch/

Usage

Import openML libraries

import openml
import openml_pytorch
import openml_pytorch.layers
import openml_pytorch.config

Create a torch model

model = torch.nn.Sequential(
    processing_net,
    features_net,
    results_net
)

Download the task from openML and run the model on task.

task = openml.tasks.get_task(3573)
run = openml.runs.run_model_on_task(model, task, avoid_duplicate_runs=False)
run.publish()
print('URL for run: %s/run/%d' % (openml.config.server, run.run_id))

Note: The input layer of the network should be compatible with OpenML data output shape. Please check examples for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openml-pytorch-0.0.5.tar.gz (18.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page