{
  "id": 405549,
  "title": "Unlabeled data",
  "url": "/competitions/tlvmc-parkinsons-freezing-gait-prediction/discussion/405549",
  "author_name": "Victor Shlepov",
  "post_date": "2023-04-28T08:45:41.442000",
  "votes": -1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hi everyone! Have anyone managed to build an efficient pipeline to process parquet files from an unlabeled directory? I mean, window, shuffle, and feed them to the TensorFlow model on the fly? I've spent couple of days with td.data.dataset.interleave, but failed. And TensorFlow-io seems to have some execution issues in Kaggle notebooks.</p>",
  "messages": [
    {
      "id": 2238148,
      "postDate": "2023-04-28T08:45:41.443Z",
      "content": "<p>Hi everyone! Have anyone managed to build an efficient pipeline to process parquet files from an unlabeled directory? I mean, window, shuffle, and feed them to the TensorFlow model on the fly? I've spent couple of days with td.data.dataset.interleave, but failed. And TensorFlow-io seems to have some execution issues in Kaggle notebooks.</p>",
      "rawMarkdown": "Hi everyone! Have anyone managed to build an efficient pipeline to process parquet files from an unlabeled directory? I mean, window, shuffle, and feed them to the TensorFlow model on the fly? I've spent couple of days with td.data.dataset.interleave, but failed. And TensorFlow-io seems to have some execution issues in Kaggle notebooks.",
      "votes": -1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2238148": "Hi everyone! Have anyone managed to build an efficient pipeline to process parquet files from an unlabeled directory? I mean, window, shuffle, and feed them to the TensorFlow model on the fly? I've spent couple of days with td.data.dataset.interleave, but failed. And TensorFlow-io seems to have some execution issues in Kaggle notebooks."
  }
}