experimental#
Warning
Methods in this experimental module are bleeding edge and may have sharp edges. They are not guaranteed to be stable between different cleanlab versions.
Useful methods/models adapted for use with cleanlab.
Some of these files include various models that can be used with cleanlab to find issues in specific types of data. These require dependencies on deep learning and other machine learning packages that are not official cleanlab dependencies. You must install these dependencies on your own if you wish to use them.
- label_issues_batched
- span_classification
- mnist_pytorch
get_mnist_dataset()get_sklearn_digits_dataset()SimpleNetSimpleNet.forward()SimpleNet.T_destinationSimpleNet.__call__()SimpleNet.add_module()SimpleNet.apply()SimpleNet.bfloat16()SimpleNet.buffers()SimpleNet.call_super_initSimpleNet.children()SimpleNet.compile()SimpleNet.cpu()SimpleNet.cuda()SimpleNet.double()SimpleNet.dump_patchesSimpleNet.eval()SimpleNet.extra_repr()SimpleNet.float()SimpleNet.get_buffer()SimpleNet.get_extra_state()SimpleNet.get_parameter()SimpleNet.get_submodule()SimpleNet.half()SimpleNet.ipu()SimpleNet.load_state_dict()SimpleNet.modules()SimpleNet.named_buffers()SimpleNet.named_children()SimpleNet.named_modules()SimpleNet.named_parameters()SimpleNet.parameters()SimpleNet.register_backward_hook()SimpleNet.register_buffer()SimpleNet.register_forward_hook()SimpleNet.register_forward_pre_hook()SimpleNet.register_full_backward_hook()SimpleNet.register_full_backward_pre_hook()SimpleNet.register_load_state_dict_post_hook()SimpleNet.register_module()SimpleNet.register_parameter()SimpleNet.register_state_dict_pre_hook()SimpleNet.requires_grad_()SimpleNet.set_extra_state()SimpleNet.share_memory()SimpleNet.state_dict()SimpleNet.to()SimpleNet.to_empty()SimpleNet.train()SimpleNet.type()SimpleNet.xpu()SimpleNet.zero_grad()SimpleNet.training
CNNCNN.batch_sizeCNN.epochsCNN.log_intervalCNN.lrCNN.momentumCNN.no_cudaCNN.seedCNN.test_batch_sizeCNN.datasetCNN.loaderCNN.fit()CNN.predict()CNN.predict_proba()CNN.get_params()CNN.set_params()CNN.fit()CNN.predict()CNN.__init_subclass__()CNN.get_metadata_routing()CNN.predict_proba()CNN.set_fit_request()CNN.set_predict_proba_request()CNN.set_predict_request()
- coteaching
- cifar_cnn
call_bn()CNNCNN.forward()CNN.forward()CNN.T_destinationCNN.__call__()CNN.add_module()CNN.apply()CNN.bfloat16()CNN.buffers()CNN.call_super_initCNN.children()CNN.compile()CNN.cpu()CNN.cuda()CNN.double()CNN.dump_patchesCNN.eval()CNN.extra_repr()CNN.float()CNN.get_buffer()CNN.get_extra_state()CNN.get_parameter()CNN.get_submodule()CNN.half()CNN.ipu()CNN.load_state_dict()CNN.modules()CNN.named_buffers()CNN.named_children()CNN.named_modules()CNN.named_parameters()CNN.parameters()CNN.register_backward_hook()CNN.register_buffer()CNN.register_forward_hook()CNN.register_forward_pre_hook()CNN.register_full_backward_hook()CNN.register_full_backward_pre_hook()CNN.register_load_state_dict_post_hook()CNN.register_module()CNN.register_parameter()CNN.register_state_dict_pre_hook()CNN.requires_grad_()CNN.set_extra_state()CNN.share_memory()CNN.state_dict()CNN.to()CNN.to_empty()CNN.train()CNN.type()CNN.xpu()CNN.zero_grad()CNN.training