moro23 commited on
Commit
d118686
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uploaded the first version of the generator failure prediction model.

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Files changed (3) hide show
  1. README.md +274 -0
  2. config.json +256 -0
  3. model.pkl +3 -0
README.md ADDED
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+ ---
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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: model.pkl
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+ widget:
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+ structuredData:
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+ ---
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+
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+ # Model description
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+
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+ [More Information Needed]
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+
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+ ## Intended uses & limitations
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+
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+ [More Information Needed]
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+
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+ ## Training Procedure
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+
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+ ### Hyperparameters
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+
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+ The model is trained with below hyperparameters.
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+
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+ <details>
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+ <summary> Click to expand </summary>
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+
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+ | Hyperparameter | Value |
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+ |-------------------------|-----------------|
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+ | objective | binary:logistic |
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+ | use_label_encoder | |
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+ | base_score | 0.5 |
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+ | booster | gbtree |
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+ | callbacks | |
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+ | colsample_bylevel | 1 |
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+ | colsample_bynode | 1 |
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+ | colsample_bytree | 1 |
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+ | early_stopping_rounds | |
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+ | enable_categorical | False |
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+ | eval_metric | logloss |
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+ | feature_types | |
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+ | gamma | 3 |
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+ | gpu_id | -1 |
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+ | grow_policy | depthwise |
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+ | importance_type | |
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+ | interaction_constraints | |
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+ | learning_rate | 0.1 |
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+ | max_bin | 256 |
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+ | max_cat_threshold | 64 |
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+ | max_cat_to_onehot | 4 |
212
+ | max_delta_step | 0 |
213
+ | max_depth | 6 |
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+ | max_leaves | 0 |
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+ | min_child_weight | 1 |
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+ | missing | nan |
217
+ | monotone_constraints | () |
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+ | n_estimators | 250 |
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+ | n_jobs | 0 |
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+ | num_parallel_tree | 1 |
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+ | predictor | auto |
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+ | random_state | 1 |
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+ | reg_alpha | 0 |
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+ | reg_lambda | 1 |
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+ | sampling_method | uniform |
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+ | scale_pos_weight | 10 |
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+ | subsample | 0.8 |
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+ | tree_method | exact |
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+ | validate_parameters | 1 |
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+ | verbosity | |
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+
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+ </details>
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+
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+ ### Model Plot
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+
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+ The model plot is below.
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+
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+ <style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 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-container-id-2 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-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 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;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 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. 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+
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+ ## Evaluation Results
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+
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+ [More Information Needed]
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+
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+ # How to Get Started with the Model
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+
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+ [More Information Needed]
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+
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+ # Model Card Authors
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+
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+ This model card is written by following authors:
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+
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+ [More Information Needed]
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+
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+ # Model Card Contact
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+
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+ You can contact the model card authors through following channels:
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+ [More Information Needed]
258
+
259
+ # Citation
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+
261
+ Below you can find information related to citation.
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+
263
+ **BibTeX:**
264
+ ```
265
+ [More Information Needed]
266
+ ```
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+
268
+ # model_card_authors
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+
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+ Moro abdul Wahab
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+
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+ # model_description
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+
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+ ML classification model to predict or identify failures in a generator
config.json ADDED
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+ {
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+ "environment": [
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