metadata
license: mit
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_format: pickle
model_file: example.pkl
widget:
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Model description
[More Information Needed]
Intended uses & limitations
[More Information Needed]
Training Procedure
[More Information Needed]
Hyperparameters
Click to expand
| Hyperparameter | Value |
|---|---|
| C | 10 |
| class_weight | |
| dual | False |
| fit_intercept | True |
| intercept_scaling | 1 |
| l1_ratio | |
| max_iter | 100 |
| multi_class | deprecated |
| n_jobs | |
| penalty | l2 |
| random_state | |
| solver | lbfgs |
| tol | 0.0001 |
| verbose | 0 |
| warm_start | False |
Model Plot
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LogisticRegression(C=10)
Evaluation Results
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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={2020}}
get_started_code
import pickle with open(dtc_pkl_filename, 'rb') as file: clf = pickle.load(file)
model_card_authors
skops_user
limitations
This model is not ready to be used in production.
model_description
This is a LogisticRegression model trained on word2vec embeddings.