ayyuce/my_solar_model

Model description

This is a LinearRegression model trained on Solar Power Generation Data.

Intended uses & limitations

This model is not ready to be used in production.

Training Procedure

Hyperparameters

The model is trained with below hyperparameters.

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Hyperparameter	Value
alpha	1.0
copy_X	True
fit_intercept	True
l1_ratio	0.5
max_iter	1000
normalize	deprecated
positive	False
precompute	False
random_state	0
selection	cyclic
tol	0.0001
warm_start	False

Model Plot

The model plot is below.

ElasticNet

ElasticNet(random_state=0)

Evaluation Results

You can find the details about evaluation process and the evaluation results.

Metric	Value
accuracy	99.9994

How to Get Started with the Model

Use the code below to get started with the model.

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import pickle 
with open(dtc_pkl_filename, 'rb') as file: 
    clf = pickle.load(file)

Model Card Authors

This model card is written by following authors:

ayyuce demirbas

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:

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