mastefan

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2025-24679-image-autolguon-predictor

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• "autogluon.multimodal.predictor.MultiModalPredictor",
• "torch.nn.modules.flatten.Flatten",
• "typing.Any",
• "timm.models.metaformer.SepConv",
• "torch.nn.modules.container.ModuleList",
• "torchvision.transforms.transforms.ToTensor",
• "autogluon.multimodal.models.custom_transformer.CLSToken",
• "autogluon.multimodal.data.process_categorical.CategoricalProcessor",
• "torchvision.transforms.transforms.Compose",
• "timm.models.metaformer.Attention",
• "autogluon.multimodal.models.custom_transformer.Custom_Transformer",
• "sklearn.preprocessing._data.StandardScaler",
• "autogluon.multimodal.models.timm_image.TimmAutoModelForImagePrediction",
• "autogluon.multimodal.models.mlp.MLP",
• "torch._utils._rebuild_parameter",
• "timm.layers.mlp.Mlp",
• "autogluon.multimodal.data.process_label.LabelProcessor",
• "timm.models.metaformer.SquaredReLU",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "autogluon.multimodal.data.process_image.ImageProcessor",
• "autogluon.multimodal.models.custom_transformer.MultiheadAttention",
• "autogluon.multimodal.models.custom_transformer.Custom_Transformer.FFN",
• "timm.layers.norm.LayerNorm",
• "collections.defaultdict",
• "torch._utils._rebuild_tensor_v2",
• "omegaconf.base.Metadata",
• "torch.nn.modules.conv.Conv2d",
• "pandas.core.indexes.base.Index",
• "autogluon.core.metrics._ThresholdScorer",
• "torchvision.transforms.transforms.CenterCrop",
• "timm.models.metaformer.Downsampling",
• "autogluon.multimodal.data.preprocess_dataframe.MultiModalFeaturePreprocessor",
• "collections.OrderedDict",
• "torch.nn.modules.container.Sequential",
• "pandas._libs.internals._unpickle_block",
• "torch.nn.modules.activation.LeakyReLU",
• "pandas.core.internals.managers.BlockManager",
• "omegaconf.dictconfig.DictConfig",
• "autogluon.multimodal.models.fusion.fusion_mlp.MultimodalFusionMLP",
• "timm.layers.norm.LayerNorm2d",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "builtins.list",
• "timm.models.metaformer.MlpHead",
• "torch.nn.modules.normalization.LayerNorm",
• "numpy._core.numeric._frombuffer",
• "pandas.core.indexes.range.RangeIndex",
• "torch.nn.modules.linear.Linear",
• "autogluon.multimodal.models.ft_transformer.FT_Transformer",
• "timm.models.metaformer.Scale",
• "torch.storage._load_from_bytes",
• "pandas.core.frame.DataFrame",
• "torchvision.transforms.transforms.Normalize",
• "torch.nn.modules.container.ModuleDict",
• "timm.models.metaformer.Stem",
• "timm.models.metaformer.MetaFormerStage",
• "PIL.PngImagePlugin.PngImageFile",
• "autogluon.multimodal.models.mlp.Unit",
• "timm.models.metaformer.MetaFormerBlock",
• "builtins.dict",
• "pandas.core.indexes.base._new_Index",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.multimodal.learners.base.BaseLearner",
• "autogluon.multimodal.data.label_encoder.CustomLabelEncoder",
• "autogluon.core.metrics.classification_metrics.customized_binary_roc_auc_score",
• "builtins.slice",
• "autogluon.features.generators.memory_minimize.CategoryMemoryMinimizeFeatureGenerator",
• "numpy.dtype",
• "torchvision.transforms.functional.InterpolationMode",
• "sklearn.preprocessing._label.LabelEncoder",
• "autogluon.multimodal.models.custom_transformer.GEGLU",
• "timm.models.metaformer.LayerNorm2dNoBias",
• "timm.models.metaformer.StarReLU",
• "builtins.int",
• "autogluon.multimodal.models.ft_transformer.CategoricalFeatureTokenizer",
• "autogluon.multimodal.models.custom_transformer.Custom_Transformer.Head",
• "numpy.ndarray",
• "datetime.timedelta",
• "timm.models.metaformer.LayerNormNoBias",
• "timm.models.metaformer.MetaFormer",
• "torch.nn.modules.linear.Identity",
• "autogluon.features.generators.category.CategoryFeatureGenerator",
• "omegaconf.base.ContainerMetadata",
• "torch.nn.modules.activation.ReLU",
• "numpy._core.multiarray._reconstruct",
• "torch.nn.modules.sparse.Embedding",
• "torchvision.transforms.transforms.Resize",
• "torch.nn.modules.dropout.Dropout",
• "omegaconf.listconfig.ListConfig",
• "omegaconf.nodes.AnyNode"

How to fix it?

• "pandas.core.indexes.base.Index",
• "collections.defaultdict",
• "autogluon.features.generators.category.CategoryFeatureGenerator",
• "autogluon.multimodal.data.preprocess_dataframe.MultiModalFeaturePreprocessor",
• "numpy.dtype",
• "collections.OrderedDict",
• "sklearn.preprocessing._label.LabelEncoder",
• "typing.Any",
• "builtins.list",
• "numpy._core.multiarray._reconstruct",
• "pandas.core.indexes.range.RangeIndex",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "pandas.core.indexes.base._new_Index",
• "autogluon.multimodal.data.label_encoder.CustomLabelEncoder",
• "builtins.int",
• "omegaconf.dictconfig.DictConfig",
• "omegaconf.nodes.AnyNode",
• "builtins.dict",
• "autogluon.features.generators.memory_minimize.CategoryMemoryMinimizeFeatureGenerator",
• "omegaconf.base.ContainerMetadata",
• "sklearn.preprocessing._data.StandardScaler",
• "omegaconf.listconfig.ListConfig",
• "numpy.ndarray",
• "omegaconf.base.Metadata",
• "autogluon.core.metrics.classification_metrics.customized_binary_roc_auc_score",
• "autogluon.core.metrics._ThresholdScorer",
• "torchvision.transforms.transforms.Normalize",
• "collections.OrderedDict",
• "torchvision.transforms.functional.InterpolationMode",
• "autogluon.multimodal.data.process_image.ImageProcessor",
• "autogluon.multimodal.data.process_label.LabelProcessor",
• "torchvision.transforms.transforms.ToTensor",
• "autogluon.multimodal.data.process_categorical.CategoricalProcessor",
• "torchvision.transforms.transforms.Compose",
• "torchvision.transforms.transforms.CenterCrop",
• "torchvision.transforms.transforms.Resize"

How to fix it?