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garnett

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mtg-draft-predictor

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• "torch.nn.modules.activation.ReLU",
• "__builtin__.set",
• "torch.LongStorage",
• "fastai.learner.AvgLoss",
• "fastai.tabular.data.TabularDataLoaders",
• "torch.nn.modules.container.ModuleList",
• "__builtin__.tuple",
• "__builtin__.getattr",
• "fastai.layers.LinBnDrop",
• "pandas.core.frame.DataFrame",
• "fastai.torch_core.TensorBase",
• "pandas.core.indexes.base._new_Index",
• "fastai.learner.CastToTensor",
• "fastai.tabular.learner.TabularLearner",
• "fastcore.foundation.L",
• "fastai.losses.CrossEntropyLossFlat",
• "__builtin__.long",
• "fastai.torch_core.trainable_params",
• "__main__.top_3_accuracy",
• "inspect._ParameterKind",
• "fastai.data.load._wif",
• "torch._utils._rebuild_parameter",
• "pandas.core.indexes.base.Index",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "__builtin__.print",
• "torch.FloatStorage",
• "fastcore.transform.Pipeline",
• "torch.Tensor",
• "fastai.tabular.core.ReadTabBatch",
• "torch.nn.modules.dropout.Dropout",
• "numpy.ndarray",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "fastai.tabular.core.TabDataLoader",
• "inspect._empty",
• "fastai.data.transforms.Normalize",
• "fastai.data.load._FakeLoader",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.Sequential",
• "random.Random",
• "fastai.optimizer.Adam",
• "__builtin__.slice",
• "pandas.core.internals.managers.BlockManager",
• "fastai.tabular.model.TabularModel",
• "fastai.learner.AvgSmoothLoss",
• "torch.device",
• "fastai.data.transforms.RegressionSetup",
• "pathlib.PosixPath",
• "fastai.callback.core.TrainEvalCallback",
• "numpy.core.multiarray.scalar",
• "numpy.core.multiarray._reconstruct",
• "pandas.core.indexes.range.RangeIndex",
• "fastai.tabular.core.TabularPandas",
• "torch.nn.modules.linear.Linear",
• "fastai.callback.progress.ProgressCallback",
• "collections.OrderedDict",
• "__builtin__.float",
• "inspect.Signature",
• "inspect.Parameter",
• "_codecs.encode",
• "fastai.callback.tracker.EarlyStoppingCallback",
• "torch._tensor._rebuild_from_type_v2",
• "fastai.metrics.accuracy",
• "numpy.core._multiarray_umath.less",
• "fastai.learner.AvgMetric",
• "fastai.learner.Recorder",
• "pandas._libs.internals._unpickle_block",
• "numpy.dtype"

How to fix it?

• "torch.nn.modules.activation.ReLU",
• "__builtin__.set",
• "torch.LongStorage",
• "fastai.learner.AvgLoss",
• "fastai.tabular.data.TabularDataLoaders",
• "torch.nn.modules.container.ModuleList",
• "__builtin__.tuple",
• "__builtin__.getattr",
• "fastai.layers.LinBnDrop",
• "pandas.core.frame.DataFrame",
• "fastai.torch_core.TensorBase",
• "pandas.core.indexes.base._new_Index",
• "fastai.learner.CastToTensor",
• "fastai.tabular.learner.TabularLearner",
• "fastcore.foundation.L",
• "fastai.losses.CrossEntropyLossFlat",
• "__builtin__.long",
• "fastai.torch_core.trainable_params",
• "__main__.top_3_accuracy",
• "inspect._ParameterKind",
• "fastai.data.load._wif",
• "torch._utils._rebuild_parameter",
• "pandas.core.indexes.base.Index",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "__builtin__.print",
• "torch.FloatStorage",
• "fastcore.transform.Pipeline",
• "torch.Tensor",
• "fastai.tabular.core.ReadTabBatch",
• "torch.nn.modules.dropout.Dropout",
• "numpy.ndarray",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "fastai.tabular.core.TabDataLoader",
• "inspect._empty",
• "fastai.data.transforms.Normalize",
• "fastai.data.load._FakeLoader",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.Sequential",
• "random.Random",
• "fastai.optimizer.Adam",
• "__builtin__.slice",
• "pandas.core.internals.managers.BlockManager",
• "fastai.tabular.model.TabularModel",
• "fastai.learner.AvgSmoothLoss",
• "torch.device",
• "fastai.data.transforms.RegressionSetup",
• "pathlib.PosixPath",
• "fastai.callback.core.TrainEvalCallback",
• "numpy.core.multiarray.scalar",
• "numpy.core.multiarray._reconstruct",
• "pandas.core.indexes.range.RangeIndex",
• "fastai.tabular.core.TabularPandas",
• "torch.nn.modules.linear.Linear",
• "fastai.callback.progress.ProgressCallback",
• "collections.OrderedDict",
• "__builtin__.float",
• "inspect.Signature",
• "inspect.Parameter",
• "_codecs.encode",
• "fastai.callback.tracker.EarlyStoppingCallback",
• "torch._tensor._rebuild_from_type_v2",
• "fastai.metrics.accuracy",
• "numpy.core._multiarray_umath.less",
• "fastai.learner.AvgMetric",
• "fastai.learner.Recorder",
• "pandas._libs.internals._unpickle_block",
• "numpy.dtype"

How to fix it?