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()
SimpleNet
SimpleNet.forward()
SimpleNet.T_destination
SimpleNet.__call__()
SimpleNet.add_module()
SimpleNet.apply()
SimpleNet.bfloat16()
SimpleNet.buffers()
SimpleNet.call_super_init
SimpleNet.children()
SimpleNet.compile()
SimpleNet.cpu()
SimpleNet.cuda()
SimpleNet.double()
SimpleNet.dump_patches
SimpleNet.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
CNN
CNN.batch_size
CNN.epochs
CNN.log_interval
CNN.lr
CNN.momentum
CNN.no_cuda
CNN.seed
CNN.test_batch_size
CNN.dataset
CNN.loader
CNN.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()
CNN
CNN.forward()
CNN.forward()
CNN.T_destination
CNN.__call__()
CNN.add_module()
CNN.apply()
CNN.bfloat16()
CNN.buffers()
CNN.call_super_init
CNN.children()
CNN.compile()
CNN.cpu()
CNN.cuda()
CNN.double()
CNN.dump_patches
CNN.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