DrAbbas

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SONAR-AI-Models

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• "sklearn.neighbors._lof.LocalOutlierFactor",
• "numpy._core.multiarray.scalar",
• "sklearn.covariance._elliptic_envelope.EllipticEnvelope",
• "numpy.dtype",
• "sklearn.ensemble._iforest.IsolationForest",
• "sklearn.tree._classes.ExtraTreeRegressor",
• "numpy.ndarray",
• "numpy._core.multiarray._reconstruct",
• "sklearn.tree._tree.Tree"

How to fix it?

• "numpy._core.multiarray.scalar",
• "numpy.dtype",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy.ndarray",
• "numpy._core.multiarray._reconstruct",
• "sklearn.tree._tree.Tree"

How to fix it?

• "numpy.dtype",
• "sklearn.preprocessing._label.LabelEncoder",
• "numpy.ndarray",
• "numpy._core.multiarray._reconstruct"

How to fix it?

• "numpy.dtype",
• "numpy.random._pickle.__bit_generator_ctor",
• "numpy.ndarray",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "sklearn.dummy.DummyRegressor",
• "sklearn.tree._tree.Tree",
• "sklearn._loss.link.IdentityLink",
• "sklearn.ensemble._gb.GradientBoostingRegressor",
• "_loss.CyHalfSquaredError",
• "numpy.random._mt19937.MT19937",
• "numpy.random._pickle.__randomstate_ctor",
• "sklearn._loss.link.Interval",
• "sklearn._loss.loss.HalfSquaredError",
• "numpy._core.multiarray._reconstruct"

How to fix it?

• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.nn.modules.block.SPPF",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.nn.modules.conv.Conv2d",
• "torch.HalfStorage",
• "ultralytics.nn.modules.conv.Concat",
• "torch.Size",
• "torch._utils._rebuild_parameter",
• "torch.FloatStorage",
• "torch.nn.modules.activation.SiLU",
• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "ultralytics.nn.modules.block.Bottleneck",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.block.C2f",
• "ultralytics.nn.modules.conv.Conv",
• "ultralytics.nn.modules.head.Detect",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.linear.Identity",
• "ultralytics.nn.modules.block.DFL"

How to fix it?

• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.nn.modules.block.SPPF",
• "ultralytics.nn.tasks.DetectionModel",
• "torch.nn.modules.conv.Conv2d",
• "torch.HalfStorage",
• "ultralytics.nn.modules.conv.Concat",
• "torch.Size",
• "torch._utils._rebuild_parameter",
• "torch.FloatStorage",
• "torch.nn.modules.activation.SiLU",
• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "ultralytics.nn.modules.block.Bottleneck",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.block.C2f",
• "ultralytics.nn.modules.conv.Conv",
• "ultralytics.nn.modules.head.Detect",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch.nn.modules.upsampling.Upsample",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.linear.Identity",
• "ultralytics.nn.modules.block.DFL"

How to fix it?

• "torchvision.transforms.transforms.Resize",
• "torch.nn.modules.container.Sequential",
• "torchvision.transforms.transforms.Compose",
• "ultralytics.nn.tasks.ClassificationModel",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torch.HalfStorage",
• "ultralytics.nn.modules.block.C3k",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.transforms.ToTensor",
• "torch.FloatStorage",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.modules.block.PSABlock",
• "torch._utils._rebuild_tensor_v2",
• "torchvision.transforms.functional.InterpolationMode",
• "ultralytics.nn.modules.block.C3k2",
• "torch.LongStorage",
• "ultralytics.nn.modules.block.Bottleneck",
• "ultralytics.nn.modules.head.Classify",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.conv.Conv",
• "torchvision.transforms.transforms.Normalize",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torchvision.transforms.transforms.CenterCrop",
• "ultralytics.nn.modules.block.C2PSA",
• "ultralytics.nn.modules.block.Attention",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d"

How to fix it?

• "torchvision.transforms.transforms.Resize",
• "torch.nn.modules.container.Sequential",
• "torchvision.transforms.transforms.Compose",
• "ultralytics.nn.tasks.ClassificationModel",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.conv.Conv2d",
• "torch.HalfStorage",
• "torch._utils._rebuild_parameter",
• "torchvision.transforms.transforms.ToTensor",
• "torch.FloatStorage",
• "torch.nn.modules.activation.SiLU",
• "torchvision.transforms.functional.InterpolationMode",
• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "ultralytics.nn.modules.block.Bottleneck",
• "ultralytics.nn.modules.head.Classify",
• "torch.nn.modules.container.ModuleList",
• "ultralytics.nn.modules.block.C2f",
• "ultralytics.nn.modules.conv.Conv",
• "torchvision.transforms.transforms.Normalize",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.set",
• "collections.OrderedDict",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torchvision.transforms.transforms.CenterCrop",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d"

How to fix it?