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--- |
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license: mit |
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library_name: sklearn |
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tags: |
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- sklearn |
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- skops |
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- tabular-classification |
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model_file: Pickle_HME_Model.pkl |
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widget: |
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structuredData: |
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anger: |
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- 0.13340177 |
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- 0.26429585 |
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- 0.75805366 |
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disgust: |
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- 0.07661828 |
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- 0.14570697 |
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- 0.21044387 |
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fear: |
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- 0.094705686 |
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- 0.057977196 |
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- 0.003689876 |
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joy: |
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- 0.006762238 |
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- 0.2627153 |
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- 0.001755206 |
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neutral: |
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- 0.03295978 |
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- 0.019884355 |
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- 0.013996695 |
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sadness: |
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- 0.6507381 |
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- 0.24445744 |
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- 0.011482558 |
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surprise: |
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- 0.004814104 |
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- 0.00496282 |
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- 0.000578273 |
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--- |
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# Model description |
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[More Information Needed] |
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## Intended uses & limitations |
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[More Information Needed] |
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## Training Procedure |
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### Hyperparameters |
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The model is trained with below hyperparameters. |
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<details> |
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<summary> Click to expand </summary> |
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| Hyperparameter | Value | |
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|------------------|---------| |
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| alpha | 1 | |
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| class_prior | | |
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| fit_prior | 1 | |
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| norm | 0 | |
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</details> |
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### Model Plot |
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The model plot is below. |
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<style>#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 {color: black;background-color: white;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 pre{padding: 0;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-toggleable {background-color: white;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-estimator:hover {background-color: #d4ebff;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-item {z-index: 1;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-parallel::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-parallel-item {display: flex;flex-direction: column;position: relative;background-color: white;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-parallel-item:only-child::after {width: 0;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;position: relative;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-label label {font-family: monospace;font-weight: bold;background-color: white;display: inline-block;line-height: 1.2em;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-label-container {position: relative;z-index: 2;text-align: center;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-949a9edd-cac5-469d-9c40-9f504bdd0b78 div.sk-text-repr-fallback {display: none;}</style><div id="sk-949a9edd-cac5-469d-9c40-9f504bdd0b78" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>ComplementNB()</pre><b>Please rerun this cell to show the HTML repr or trust the notebook.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="1e7eb802-623d-4874-bded-e170244a5377" type="checkbox" checked><label for="1e7eb802-623d-4874-bded-e170244a5377" class="sk-toggleable__label sk-toggleable__label-arrow">ComplementNB</label><div class="sk-toggleable__content"><pre>ComplementNB()</pre></div></div></div></div></div> |
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## Evaluation Results |
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[More Information Needed] |
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# How to Get Started with the Model |
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[More Information Needed] |
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# Model Card Authors |
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This model card is written by following authors: |
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[More Information Needed] |
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# Model Card Contact |
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You can contact the model card authors through following channels: |
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[More Information Needed] |
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# Citation |
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Below you can find information related to citation. |
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**BibTeX:** |
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``` |
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[More Information Needed] |
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``` |
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# citation_bibtex |
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bibtex |
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@inproceedings{...,year={2022}} |
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# model_card_authors |
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skops_user |
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# limitations |
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This model is purely for academic purposes. |
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# model_description |
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This is a Complement NB model trained on a poetry dataset. |
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