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@@ -7,8 +7,8 @@ This package contains code modified from the paper "TransTab: A Flexible Transfe |
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## Contents |
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- `__init__.py`: The `__init__.py` file defines the `HeteroMap` class, which forms the main network structure of the market engine. It includes methods for handling heterogeneous tabular data, focusing on mapping data from diverse feature spaces into a unified "specification world". |
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- `trainer.py`: The `trainer.py` file focuses on the unsupervised training process of the market engine. It defines the `TransTabCollatorForCL` class, which builds positive and negative samples from tabular vertical partitions for unsupervised learning. |
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- `feature_extractor.py`: This file encompasses NLP-related functionalities crucial for processing and understanding table data features. It includes classes like `WordEmbedding`, which encodes tokens from column names into word embeddings, and `FeatureTokenizer`, which prepares tables for processing by the market engine. |
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- `trainer.py`: The `trainer.py` file focuses on the unsupervised training process of the market engine. The `TransTabCollatorForCL` class is used for generating positive and negative samples from tabular vertical partitions for unsupervised learning. |
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- `feature_extractor.py`: This file is utilized for the purpose of tokenizing feature descriptions and transforming them into word embeddings. |
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## Handling heterogeneous learnwares |
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Peng Tan
2 years ago