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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-regression |
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widget: |
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structuredData: |
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AMBIENT_TEMPERATURE: |
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- 21.4322062 |
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- 27.322759933333337 |
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- 25.56246340000001 |
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DAILY_YIELD: |
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- 0.0 |
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- 996.4285714 |
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- 685.0 |
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DC_POWER: |
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- 0.0 |
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- 8358.285714 |
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- 6741.285714 |
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IRRADIATION: |
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- 0.0 |
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- 0.6465474886666664 |
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- 0.498367802 |
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MODULE_TEMPERATURE: |
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- 19.826896066666663 |
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- 45.7407144 |
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- 38.252356133333336 |
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TOTAL_YIELD: |
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- 7218223.0 |
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- 6366043.429 |
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- 6372656.0 |
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--- |
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# Model description |
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This is a LinearRegression model trained on Solar Power Generation Data. |
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## Intended uses & limitations |
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This model is not ready to be used in production. |
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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 | 1.0 | |
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| copy_X | True | |
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| fit_intercept | True | |
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| l1_ratio | 0.5 | |
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| max_iter | 1000 | |
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| normalize | deprecated | |
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| positive | False | |
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| precompute | False | |
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| random_state | 0 | |
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| selection | cyclic | |
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| tol | 0.0001 | |
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| warm_start | False | |
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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-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b {color: black;background-color: white;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b pre{padding: 0;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-toggleable {background-color: white;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b 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-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b 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-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-estimator:hover {background-color: #d4ebff;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-item {z-index: 1;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-parallel::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-parallel-item {display: flex;flex-direction: column;position: relative;background-color: white;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-parallel-item:only-child::after {width: 0;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b 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-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-label label {font-family: monospace;font-weight: bold;background-color: white;display: inline-block;line-height: 1.2em;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-label-container {position: relative;z-index: 2;text-align: center;}#sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b div.sk-container {display: inline-block;position: relative;}</style><div id="sk-a3a3b863-d5cf-4b57-9e19-e3d8f2db0a0b" class"sk-top-container"><div class="sk-container"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="d20384ee-8f34-4e73-b4a5-b15dfd56af7a" type="checkbox" checked><label class="sk-toggleable__label" for="d20384ee-8f34-4e73-b4a5-b15dfd56af7a">ElasticNet</label><div class="sk-toggleable__content"><pre>ElasticNet(random_state=0)</pre></div></div></div></div></div> |
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## Evaluation Results |
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You can find the details about evaluation process and the evaluation results. |
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| Metric | Value | |
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|----------|---------| |
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| accuracy | 99.9994 | |
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# How to Get Started with the Model |
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Use the code below to get started with the model. |
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<details> |
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<summary> Click to expand </summary> |
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```python |
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import pickle |
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with open(dtc_pkl_filename, 'rb') as file: |
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clf = pickle.load(file) |
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``` |
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</details> |
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# Model Card Authors |
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This model card is written by following authors: |
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ayyuce demirbas |
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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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bibtex |
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@inproceedings{...,year={2022}} |
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``` |
