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ibombonato

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Small Object Detection and Classification

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What data should you label to get the most value for your money?

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5 Puzzles 21 Days. Can you solve it all?

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graded 175504
graded 175280
graded 175272

5 Puzzles 21 Days. Can you solve it all?

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No submissions made in this challenge.

5 Puzzles 21 Days. Can you solve it all?

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5 Puzzles 21 Days. Can you solve it all?

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failed 148825
failed 148821
graded 148817

5 Puzzles, 3 Weeks. Can you solve them all? ๐Ÿ˜‰

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Classifying Emotion from Texts

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graded 147012
graded 147006
graded 146982

Feature Engineering in Texts

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failed 148825
failed 148821
graded 148817

Predict Age From A Picture

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graded 175280
graded 175272
graded 175265
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NLP Feature Engineering-9be8f9

Common Mistakes and Tips

About 2 years ago

This comp is coming to an end and I would like to thank you for all your work and efforts, but as off now, there are more failed submissions than graded ones :-/ As a feedback, I would suggest that you make the process in a comp like that extremely clear and with a very minimal notebook example.

The notebook provided for this comp has way more things than the minimal for people make submission and it was great for learning purposes, but for a โ€œsample submissionโ€ purpose it was not ideal. Maybe make two the next time? One as simple as possible, showing just the requirements and instructions, and then one more detailed and more advanced?

Speaking for myself, as off now, I could only get one off many submissions to run properly ant it was not consistent. I tried the same code with a new model having only different weights and it failed. Also the log provided by the platform also does not help.

Again, great work and great comp. I think the Blitz idea great and will recommend to others.

Tks!

Kernel died error while running the colab

Over 2 years ago

Thank you.

I did what you suggest and the error changedโ€ฆ Now it seems the submission cant write data to diskโ€ฆ

Scrubbing API keys from the notebook...
cp: cannot create regular file '/data/test.zip': Read-only file system
[NbConvertApp] Converting notebook predict.ipynb to notebook
[NbConvertApp] Executing notebook with kernel: python
2021-06-21 01:33:09.576002: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2021-06-21 01:33:09.576037: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
[NbConvertApp] Writing 816144 bytes to predict.nbconvert.ipynb

Also, can you change the system to not count a submission when it fails?

Tks

Kernel died error while running the colab

Over 2 years ago

The timeout error occurs even with a dummy submission that output a fixed value for all rows, after just read the data :-/

Kernel died error while running the colab

Over 2 years ago

I am getting timeout error due to a cell exceed 30 seconds of execution :disappointed:

Scrubbing API keys from the notebook...
Collecting notebook...
Validating the submission...
Executing install.ipynb...
[NbConvertApp] Converting notebook /content/submission/install.ipynb to notebook
[NbConvertApp] Executing notebook with kernel: python3
[NbConvertApp] ERROR | unhandled iopub msg: colab_request
[NbConvertApp] ERROR | unhandled iopub msg: colab_request
[NbConvertApp] ERROR | unhandled iopub msg: colab_request
[NbConvertApp] ERROR | unhandled iopub msg: colab_request
[NbConvertApp] ERROR | unhandled iopub msg: colab_request
[NbConvertApp] ERROR | unhandled iopub msg: colab_request
[NbConvertApp] ERROR | unhandled iopub msg: colab_request
[NbConvertApp] ERROR | unhandled iopub msg: colab_request
[NbConvertApp] ERROR | unhandled iopub msg: colab_request
[NbConvertApp] Writing 59619 bytes to /content/submission/install.nbconvert.ipynb
Executing predict.ipynb...
[NbConvertApp] Converting notebook /content/submission/predict.ipynb to notebook
[NbConvertApp] Executing notebook with kernel: python3
[NbConvertApp] ERROR | Timeout waiting for execute reply (30s).
Traceback (most recent call last):
  File "/usr/local/bin/jupyter-nbconvert", line 8, in <module>
    sys.exit(main())
  File "/usr/local/lib/python2.7/dist-packages/jupyter_core/application.py", line 267, in launch_instance
    return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py", line 658, in launch_instance
    app.start()
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/nbconvertapp.py", line 338, in start
    self.convert_notebooks()
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/nbconvertapp.py", line 508, in convert_notebooks
    self.convert_single_notebook(notebook_filename)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/nbconvertapp.py", line 479, in convert_single_notebook
    output, resources = self.export_single_notebook(notebook_filename, resources, input_buffer=input_buffer)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/nbconvertapp.py", line 408, in export_single_notebook
    output, resources = self.exporter.from_filename(notebook_filename, resources=resources)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/exporters/exporter.py", line 179, in from_filename
    return self.from_file(f, resources=resources, **kw)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/exporters/exporter.py", line 197, in from_file
    return self.from_notebook_node(nbformat.read(file_stream, as_version=4), resources=resources, **kw)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/exporters/notebook.py", line 32, in from_notebook_node
    nb_copy, resources = super(NotebookExporter, self).from_notebook_node(nb, resources, **kw)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/exporters/exporter.py", line 139, in from_notebook_node
    nb_copy, resources = self._preprocess(nb_copy, resources)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/exporters/exporter.py", line 316, in _preprocess
    nbc, resc = preprocessor(nbc, resc)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/preprocessors/base.py", line 47, in __call__
    return self.preprocess(nb, resources)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/preprocessors/execute.py", line 381, in preprocess
    nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/preprocessors/base.py", line 69, in preprocess
    nb.cells[index], resources = self.preprocess_cell(cell, resources, index)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/preprocessors/execute.py", line 414, in preprocess_cell
    reply, outputs = self.run_cell(cell, cell_index)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/preprocessors/execute.py", line 491, in run_cell
    exec_reply = self._wait_for_reply(parent_msg_id, cell)
  File "/usr/local/lib/python2.7/dist-packages/nbconvert/preprocessors/execute.py", line 483, in _wait_for_reply
    raise TimeoutError("Cell execution timed out")
RuntimeError: Cell execution timed out
Local Evaluation Error Error: predict.ipynb failed to execute

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