apsora

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autoML_images_data

like 0

• "numpy._core.multiarray._reconstruct",
• "torch.nn.modules.linear.Linear",
• "torchvision.transforms.transforms.Compose",
• "numpy.dtype",
• "torchvision.transforms.transforms.Resize",
• "autogluon.multimodal.predictor.MultiModalPredictor",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch.nn.modules.activation.ReLU",
• "pandas.core.indexes.base.Index",
• "numpy.ndarray",
• "pandas.core.internals.managers.BlockManager",
• "numpy._core.numeric._frombuffer",
• "builtins.int",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "omegaconf.listconfig.ListConfig",
• "autogluon.multimodal.data.process_image.ImageProcessor",
• "torchvision.transforms.functional.InterpolationMode",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.Sequential",
• "autogluon.multimodal.data.preprocess_dataframe.MultiModalFeaturePreprocessor",
• "timm.models.resnet.BasicBlock",
• "autogluon.multimodal.learners.base.BaseLearner",
• "collections.defaultdict",
• "sklearn.preprocessing._data.StandardScaler",
• "builtins.list",
• "omegaconf.dictconfig.DictConfig",
• "omegaconf.nodes.AnyNode",
• "torchvision.transforms.transforms.CenterCrop",
• "torch.nn.modules.pooling.MaxPool2d",
• "builtins.dict",
• "torch.nn.modules.conv.Conv2d",
• "builtins.slice",
• "typing.Any",
• "autogluon.multimodal.data.label_encoder.CustomLabelEncoder",
• "sklearn.metrics._classification.accuracy_score",
• "torch.nn.modules.linear.Identity",
• "autogluon.multimodal.data.process_label.LabelProcessor",
• "autogluon.multimodal.models.timm_image.TimmAutoModelForImagePrediction",
• "torch.nn.modules.flatten.Flatten",
• "pandas.core.indexes.base._new_Index",
• "pandas.core.frame.DataFrame",
• "torch.storage._load_from_bytes",
• "omegaconf.base.Metadata",
• "omegaconf.base.ContainerMetadata",
• "torchvision.transforms.transforms.Normalize",
• "sklearn.preprocessing._label.LabelEncoder",
• "torchvision.transforms.transforms.ToTensor",
• "timm.models.resnet.ResNet",
• "autogluon.core.metrics._ClassScorer",
• "pandas._libs.internals._unpickle_block",
• "collections.OrderedDict"

How to fix it?

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

How to fix it?