ecopus

/

groot_autogluon_predictor_w_hpo

like 0

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

How to fix it?

• "ray.train.RunConfig",
• "ray.tune.tune_config.TuneConfig",
• "ray.tune.search.sample._BackwardsCompatibleNumpyRng",
• "datetime.timedelta",
• "autogluon.core.hpo.ray_hpo._trial_name_creator",
• "autogluon.core.hpo.ray_hpo._trial_dirname_creator",
• "ray.tune.schedulers.async_hyperband.AsyncHyperBandScheduler",
• "ray.tune.schedulers.async_hyperband._Bracket",
• "ray.train.CheckpointConfig",
• "ray.air._internal.usage.AirEntrypoint",
• "ray.train.FailureConfig",
• "ray.train.SyncConfig",
• "ray.tune.search.basic_variant.BasicVariantGenerator",
• "ray.cloudpickle.cloudpickle._make_function",
• "argparse._HelpAction",
• "ray.train._internal.storage._FilesystemSyncer",
• "argparse._ExtendAction",
• "argparse._AppendConstAction",
• "argparse._ArgumentGroup",
• "ray.tune.resources.json_to_resources",
• "pyarrow._fs.FileSystem._from_uri",
• "json.loads",
• "autogluon.core.hpo.ray_hpo._trial_dirname_creator",
• "argparse._StoreConstAction",
• "argparse.HelpFormatter",
• "ray.cloudpickle.cloudpickle._function_setstate",
• "ray.tune.search.sample.Categorical",
• "ray.train.SyncConfig",
• "argparse.ArgumentParser",
• "ray.tune.search.basic_variant._TrialIterator",
• "ray.tune.search.basic_variant._VariantIterator",
• "argparse._CountAction",
• "ray.train._internal.storage._upload_to_fs_path",
• "argparse._StoreTrueAction",
• "argparse._StoreFalseAction",
• "argparse._VersionAction",
• "argparse._StoreAction",
• "ray.train._internal.storage.StorageContext",
• "argparse._AppendAction",
• "argparse._SubParsersAction",
• "ray.tune.search.sample.Categorical._Uniform",
• "ray.train.CheckpointConfig",
• "ray.tune.search.sample.Float._LogUniform",
• "builtins.int",
• "ray.cloudpickle.cloudpickle._builtin_type",
• "datetime.timedelta",
• "autogluon.core.hpo.ray_hpo._trial_name_creator",
• "ray.tune.search.sample._BackwardsCompatibleNumpyRng",
• "ray.tune.search.sample.Float",
• "builtins.str",
• "re._compile",
• "collections.OrderedDict",
• "torchvision.transforms.transforms.Resize",
• "torchvision.transforms.transforms.Compose",
• "autogluon.multimodal.data.process_image.ImageProcessor",
• "torchvision.transforms.transforms.CenterCrop",
• "autogluon.multimodal.data.process_label.LabelProcessor",
• "torchvision.transforms.transforms.Normalize",
• "torchvision.transforms.functional.InterpolationMode",
• "torchvision.transforms.transforms.ToTensor",
• "collections.defaultdict",
• "collections.OrderedDict",
• "numpy.dtype",
• "sklearn.preprocessing._data.StandardScaler",
• "builtins.list",
• "numpy.ndarray",
• "omegaconf.listconfig.ListConfig",
• "autogluon.multimodal.data.preprocess_dataframe.MultiModalFeaturePreprocessor",
• "typing.Any",
• "numpy._core.multiarray._reconstruct",
• "sklearn.preprocessing._label.LabelEncoder",
• "omegaconf.dictconfig.DictConfig",
• "omegaconf.nodes.AnyNode",
• "builtins.int",
• "autogluon.multimodal.data.label_encoder.CustomLabelEncoder",
• "omegaconf.base.ContainerMetadata",
• "omegaconf.base.Metadata",
• "builtins.dict",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.metrics._ClassScorer"

How to fix it?