cassieli226

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sign-identification-automl

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• "timm.models.swin_transformer.SwinTransformerStage",
• "autogluon.multimodal.learners.base.BaseLearner",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.functional.InterpolationMode",
• "numpy._core.multiarray._reconstruct",
• "pandas.core.indexes.base._new_Index",
• "timm.layers.drop.DropPath",
• "datetime.timedelta",
• "numpy.dtype",
• "autogluon.multimodal.data.process_image.ImageProcessor",
• "timm.models.swin_transformer.SwinTransformer",
• "omegaconf.nodes.AnyNode",
• "pandas.core.internals.managers.BlockManager",
• "pandas.core.frame.DataFrame",
• "builtins.slice",
• "autogluon.core.metrics.classification_metrics.customized_binary_roc_auc_score",
• "torch.storage._load_from_bytes",
• "timm.layers.patch_embed.PatchEmbed",
• "timm.layers.classifier.ClassifierHead",
• "timm.layers.adaptive_avgmax_pool.FastAdaptiveAvgPool",
• "timm.models.swin_transformer.SwinTransformerBlock",
• "pandas.core.indexes.base.Index",
• "builtins.int",
• "torch.nn.modules.container.Sequential",
• "autogluon.multimodal.data.label_encoder.CustomLabelEncoder",
• "torch.nn.modules.conv.Conv2d",
• "omegaconf.base.ContainerMetadata",
• "sklearn.preprocessing._label.LabelEncoder",
• "numpy._core.numeric._frombuffer",
• "torchvision.transforms.transforms.Normalize",
• "omegaconf.listconfig.ListConfig",
• "omegaconf.dictconfig.DictConfig",
• "collections.OrderedDict",
• "torch.nn.modules.normalization.LayerNorm",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "autogluon.core.metrics._ThresholdScorer",
• "timm.layers.format.Format",
• "builtins.list",
• "timm.models.swin_transformer.PatchMerging",
• "pandas._libs.internals._unpickle_block",
• "torchvision.transforms.transforms.Resize",
• "builtins.dict",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.GELU",
• "timm.layers.mlp.Mlp",
• "autogluon.multimodal.predictor.MultiModalPredictor",
• "torch.nn.modules.activation.Softmax",
• "sklearn.preprocessing._data.StandardScaler",
• "omegaconf.base.Metadata",
• "torchvision.transforms.transforms.Compose",
• "typing.Any",
• "collections.defaultdict",
• "torch.nn.modules.dropout.Dropout",
• "torchvision.transforms.transforms.CenterCrop",
• "timm.models.swin_transformer.WindowAttention",
• "autogluon.multimodal.models.timm_image.TimmAutoModelForImagePrediction",
• "autogluon.multimodal.data.process_label.LabelProcessor",
• "torchvision.transforms.transforms.ToTensor",
• "numpy.ndarray",
• "autogluon.multimodal.data.preprocess_dataframe.MultiModalFeaturePreprocessor"

How to fix it?

• "torchvision.transforms.transforms.Normalize",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.transforms.transforms.Compose",
• "collections.OrderedDict",
• "torchvision.transforms.transforms.CenterCrop",
• "torchvision.transforms.transforms.Resize",
• "autogluon.multimodal.data.process_image.ImageProcessor",
• "autogluon.multimodal.data.process_label.LabelProcessor",
• "torchvision.transforms.transforms.ToTensor",
• "sklearn.preprocessing._data.StandardScaler",
• "omegaconf.base.ContainerMetadata",
• "omegaconf.base.Metadata",
• "sklearn.preprocessing._label.LabelEncoder",
• "omegaconf.listconfig.ListConfig",
• "omegaconf.dictconfig.DictConfig",
• "collections.OrderedDict",
• "numpy._core.multiarray._reconstruct",
• "typing.Any",
• "collections.defaultdict",
• "builtins.list",
• "numpy.dtype",
• "builtins.int",
• "builtins.dict",
• "omegaconf.nodes.AnyNode",
• "autogluon.multimodal.data.label_encoder.CustomLabelEncoder",
• "numpy.ndarray",
• "autogluon.multimodal.data.preprocess_dataframe.MultiModalFeaturePreprocessor",
• "autogluon.core.metrics.classification_metrics.customized_binary_roc_auc_score",
• "autogluon.core.metrics._ThresholdScorer"

How to fix it?