metadata

license: mit
library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-classification
model_file: HME_pickle
widget:
  structuredData:
    anger:
      - 0.13340177
      - 0.26429585
      - 0.75805366
    disgust:
      - 0.07661828
      - 0.14570697
      - 0.21044387
    fear:
      - 0.094705686
      - 0.057977196
      - 0.003689876
    joy:
      - 0.006762238
      - 0.2627153
      - 0.001755206
    neutral:
      - 0.03295978
      - 0.019884355
      - 0.013996695
    sadness:
      - 0.6507381
      - 0.24445744
      - 0.011482558
    surprise:
      - 0.004814104
      - 0.00496282
      - 0.000578273

Model description

[More Information Needed]

Intended uses & limitations

[More Information Needed]

Training Procedure

Hyperparameters

The model is trained with below hyperparameters.

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Hyperparameter	Value
alpha	1
class_prior
fit_prior	1
norm	0

Model Plot

The model plot is below.

ComplementNB()

Please rerun this cell to show the HTML repr or trust the notebook.

Evaluation Results

[More Information Needed]

How to Get Started with the Model

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Model Card Authors

This model card is written by following authors:

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Model Card Contact

You can contact the model card authors through following channels: [More Information Needed]

Citation

Below you can find information related to citation.

BibTeX:

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citation_bibtex

bibtex @inproceedings{...,year={2022}}

model_card_authors

skops_user

limitations

This model is purely for academic purposes.

model_description

This is a Complement NB model trained on a poetry dataset.