metadata
license: mit
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_file: Pickle_HME_Model.pkl
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.
Click to expand
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.
ComplementNB()
Evaluation Results
[More Information Needed]
How to Get Started with the Model
[More Information Needed]
Model Card Authors
This model card is written by following authors:
[More Information Needed]
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:
[More Information Needed]
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.