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poetic's Introduction

Kevin Wang

He/Him/His. Currently working on school, writing quirky software, and most likely watching YouTube :)

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What I like:

  • 📊📉Statistics, machine learning, and data science
  • 💻🖱Digital humanities
  • 📚📔Poetry and fiction
  • 😍Monchhichis, 🏞 Nature, 🥈Fitness, 🎧Audio

Projects and Publications:

  • Yang et al. (2023) in Genome Biology
  • An elegant data analysis tool for CyTOF
  • A mega package for CyTOF workflows, including CytofDR and cytomulate
  • Introducting PyCytoData Alliance and PyCytoData Alliance Plus
  • Yang et al. (2023) in Genome Biology
  • An accurate and efficient simulation tool for CyTOF
  • My contributions: The maintenance guy who fixes stuff, mops up bits and pieces of code, and writes documentations.
  • Find out how poetic YOU are via a statistical model!
  • I'm working on this (as time allows, that is.) I promise!
  • Stable releases are now out! Check it out!

Goals and motivations:

  • Stay healthy and fit!
  • Research principles: Adaptability, Interpretability, and Usability!
  • Contribute to open source!

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poetic's People

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poetic's Issues

Development Status Update

This is just a quick update: the project is not abandoned!! I will get to it at some point! If you're reading this, I said hi!!

InputLengthError message incorrect with custom model

Describe the bug
The error message of poetic.exceptions.InputLengthError as raised from the poetic.Predictor class is incorrect when the custom model used to initialized the class is of a different input length. The incorrect message reads: poetic.exceptions.InputLengthError: Input length out of bound: must be between 1 and 465.

To Reproduce

    import poetic

    model = poetic.util.Initializer.load_model(model_path=<PATH>, weights_path=<PATH>)
    pred = poetic.Predictor(model=model)
    pred.predict("")

Expected behavior
The error message should reflect the actual maximum input length of the model such as between 1 and 100 instead of 1 and 465.

Desktop (please complete the following information):

  • OS: Windows 10
  • Architecture: x86-64
  • Version: 20H2

poetic information

  • Version: 1.1.0
  • Build: Dev
  • Installation source: GitHub

Environment and dependencies

  • Python: 3.7.7
  • Environment: conda

Notes
This issue is a note to myself as well as a PA for everyone. I will get to this in a while, but if anyone would like to fix this in the mean time, it will be totally appreciated! PR should be made to the maintenance/v1.1.x branch which will then be merged into dev since v1.1.0 is the earliest version affected by this bug.

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