Pytorch extension for openml-python API.

pip install openml-pytorch

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

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.

Additionally, if you want to publish the run with onnx file, then you must call openml_pytorch.add_onnx_to_run() immediately before run.publish().

run = openml_pytorch.add_onnx_to_run(run)