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Model description

This is a Logistic Regression model trained on iris dataset. This model could be used to predict type of iris flower, given certain dimensions. This model is very basic and should only be used as an example of how to use Highwind.

Intended uses & limitations

This model is made for the purposes of showing how to use Highwind only.

Training Procedure

[More Information Needed]

Hyperparameters

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Hyperparameter Value
C 1
class_weight
dual False
fit_intercept True
intercept_scaling 1
l1_ratio
max_iter 100
multi_class auto
n_jobs
penalty l2
random_state 42
solver lbfgs
tol 0.0001
verbose 0
warm_start False

Model Plot

LogisticRegression(C=1, random_state=42)
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Evaluation Results

[More Information Needed]

How to Get Started with the Model

import joblib
from huggingface_hub import hf_hub_download

# Feature scaler
hf_hub_download("MelioAI/iris-classifier", "scaler.joblib")
scaler = joblib.load("scaler.joblib")

# Classifier model
hf_hub_download("MelioAI/iris-classifier", "model.joblib")
model = joblib.load("model.joblib")

Model Card Authors

MelioAI, ruanmelio

Model Card Contact

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

Citation

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BibTeX:

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Intended uses & limitations

This model is made for the purposes of showing how to use Highwind only.

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