upload ONNX models
Browse files- action_recommendations.pkl +3 -0
- forecast_data.pkl +3 -0
- multi_task_transformer.onnx +3 -0
- nlp/indobert-base/config.json +55 -0
- nlp/indobert-base/tokenizer.json +0 -0
- nlp/indobert-base/tokenizer_config.json +14 -0
- nlp/severity_classifier/classifier.pkl +3 -0
- nlp/severity_classifier/config.json +11 -0
- nlp/severity_classifier/label_encoder.pkl +3 -0
- nlp/severity_classifier/vectorizer.pkl +3 -0
- nlp/summarizer.pkl +3 -0
- regression/anomaly_stats.pkl +3 -0
- regression/resolution_predictor.onnx +3 -0
- regression/resolution_predictor_20260225_164111.pkl +3 -0
- regression/resolution_predictor_20260225_164111_metrics.json +39 -0
- regression/resolution_predictor_20260225_175122.pkl +3 -0
- regression/resolution_predictor_20260225_175122_metrics.json +39 -0
- regression/resolution_predictor_20260225_183528.pkl +3 -0
- regression/resolution_predictor_20260225_183528_metrics.json +39 -0
- regression/resolution_predictor_latest.pkl +3 -0
- regression/resolution_predictor_latest_metrics.json +39 -0
- regression/shap_explainer.pkl +3 -0
- risk_scores.pkl +3 -0
- root_cause/classifier.pkl +3 -0
- root_cause/vectorizer.pkl +3 -0
- severity.onnx +3 -0
- similarity_index.pkl +3 -0
- training_summary.json +61 -0
action_recommendations.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:994ea51f434550e6a33842805b7e14891c1f89d87b465a42f48683742a26ef54
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size 231294
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forecast_data.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c5377f18570c304456983fac0edb2136dfe6f893f7afeaed9da375a4bc9425b
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size 6160
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multi_task_transformer.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:fef17c9d8e0b4286e22fcbe02fac2520e618421fd520ae04bc66621129896271
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size 64483
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nlp/indobert-base/config.json
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{
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"_num_labels": 5,
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"add_cross_attention": false,
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": null,
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"classifier_dropout": null,
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"decoder_start_token_id": null,
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"directionality": "bidi",
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"dtype": "float32",
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"eos_token_id": null,
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"finetuning_task": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"prefix": null,
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"pruned_heads": {},
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"task_specific_params": null,
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"tie_word_embeddings": true,
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"torchscript": false,
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"transformers_version": "5.2.0",
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"type_vocab_size": 2,
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"use_bfloat16": false,
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"use_cache": true,
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"vocab_size": 50000
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}
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nlp/indobert-base/tokenizer.json
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nlp/indobert-base/tokenizer_config.json
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{
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"backend": "tokenizers",
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"is_local": false,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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nlp/severity_classifier/classifier.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb2797cfd8b5df0dad7e55d2c12cc5238ad03ae6959860eaeba61c05277f2a9a
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size 3794145
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nlp/severity_classifier/config.json
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{
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"model_type": "ensemble_voting",
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"estimators": [
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"random_forest",
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"logistic_regression",
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"svm",
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"gradient_boosting"
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],
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"vectorizer": "tfidf",
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"version": "1.0.0-retrained"
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}
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nlp/severity_classifier/label_encoder.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:67473862caa32ccc3f6f65d207aadd01ed92996e7ac6883dee5465c38709c352
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size 107
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nlp/severity_classifier/vectorizer.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c124bd67f57abf95f3587771b099b92de56f4d6ddd98b8125640a657155ebb5
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size 77593
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nlp/summarizer.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:03be522c8dbb9fe037acad0de51dffd00c96edd84319db44d70d1e45b5fcb12d
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size 200
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regression/anomaly_stats.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:2bd25a2531832ebd81eec1856893a1e30fdb97c0ea51eb66843ba144cf1f7f38
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size 565
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regression/resolution_predictor.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:63b1c11105ab71029c5ec4d34915a5d3f40b368e74938f50b48060ece57965af
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size 1485399
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regression/resolution_predictor_20260225_164111.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:792f923c5ebf7d524d9ba99af78e90e5f56adbe099b44be2d3b41e786b74041f
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size 14775020
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regression/resolution_predictor_20260225_164111_metrics.json
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{
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"train_mae": 0.018402107403484247,
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"train_rmse": 0.0728763187978033,
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| 4 |
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"train_r2": 0.9925450014790125,
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| 5 |
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"test_mae": 0.34176935141086573,
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| 6 |
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"test_rmse": 0.44183720520326486,
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"test_r2": 0.7273613771241667,
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| 8 |
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"n_samples": 999,
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| 9 |
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"n_features": 25,
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| 10 |
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"feature_importance": {
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| 11 |
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"area_encoded": 0.5084730386734009,
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| 12 |
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"cos_month": 0.1381155550479889,
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| 13 |
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"category_encoded": 0.07986371964216232,
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"has_action_taken": 0.03615891560912132,
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| 15 |
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"hub_encoded": 0.030613576993346214,
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| 16 |
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"action_taken_length": 0.029793893918395042,
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| 17 |
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"root_cause_length": 0.02474481798708439,
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| 18 |
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"has_photos": 0.019557910040020943,
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| 19 |
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"text_complexity": 0.01762666553258896,
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| 20 |
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"report_word_count": 0.016276082023978233,
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| 21 |
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"branch_encoded": 0.014988800510764122,
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| 22 |
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"report_length": 0.01187618263065815,
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| 23 |
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"cos_day_of_year": 0.011854325421154499,
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| 24 |
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"cos_day_of_week": 0.007504446431994438,
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| 25 |
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"sin_day_of_year": 0.007460079621523619,
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| 26 |
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"sin_month": 0.0070718638598918915,
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| 27 |
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"is_complaint": 0.005645426921546459,
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| 28 |
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"sin_day_of_week": 0.0055902558378875256,
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| 29 |
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"week_of_year": 0.005430610850453377,
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| 30 |
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"airline_encoded": 0.005309535656124353,
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| 31 |
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"month": 0.0043428498320281506,
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| 32 |
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"is_weekend": 0.003912324085831642,
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| 33 |
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"day_of_week": 0.003655572421848774,
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| 34 |
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"quarter": 0.002543162787333131,
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| 35 |
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"has_root_cause": 0.001590387779287994
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| 36 |
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},
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| 37 |
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"cv_mae_mean": 0.39610035494521634,
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| 38 |
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"cv_mae_std": 0.09480384842694445
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| 39 |
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}
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regression/resolution_predictor_20260225_175122.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:d67e4cf333f5c4644ea03dfa1a45282a8cfff429080a5d6292b5d4f050b18a7a
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size 14401088
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regression/resolution_predictor_20260225_175122_metrics.json
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{
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"train_mae": 0.013804384429702473,
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| 3 |
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"train_rmse": 0.058786054549609335,
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| 4 |
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"train_r2": 0.9953578026342642,
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"test_mae": 0.3589555495500565,
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| 6 |
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"test_rmse": 0.45588756472910225,
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| 7 |
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"test_r2": 0.6769258885962501,
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| 8 |
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"n_samples": 999,
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| 9 |
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"n_features": 25,
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| 10 |
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"feature_importance": {
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| 11 |
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"area_encoded": 0.5244781970977783,
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| 12 |
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"cos_month": 0.12736843526363373,
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| 13 |
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"category_encoded": 0.08479775488376617,
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| 14 |
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"has_photos": 0.04497334361076355,
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| 15 |
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"action_taken_length": 0.03303031623363495,
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| 16 |
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"root_cause_length": 0.026657721027731895,
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| 17 |
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"report_word_count": 0.02382919006049633,
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| 18 |
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"text_complexity": 0.020652418956160545,
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| 19 |
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"hub_encoded": 0.014642151072621346,
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| 20 |
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"report_length": 0.013123899698257446,
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| 21 |
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"cos_day_of_year": 0.012677833437919617,
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| 22 |
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"branch_encoded": 0.009402493014931679,
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| 23 |
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"sin_month": 0.008242674171924591,
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| 24 |
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"sin_day_of_year": 0.007177586201578379,
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| 25 |
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"is_complaint": 0.006382620893418789,
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| 26 |
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"cos_day_of_week": 0.006216849200427532,
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| 27 |
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"sin_day_of_week": 0.005750143900513649,
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| 28 |
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"week_of_year": 0.00483251828700304,
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| 29 |
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"month": 0.004789232742041349,
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| 30 |
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"has_action_taken": 0.004752846900373697,
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| 31 |
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"airline_encoded": 0.004530612844973803,
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| 32 |
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"is_weekend": 0.0035659940913319588,
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| 33 |
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"day_of_week": 0.003521137172356248,
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| 34 |
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"quarter": 0.0029881431255489588,
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| 35 |
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"has_root_cause": 0.0016159319784492254
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| 36 |
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},
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| 37 |
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"cv_mae_mean": 0.38358049113307163,
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| 38 |
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"cv_mae_std": 0.062951075278465
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| 39 |
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}
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regression/resolution_predictor_20260225_183528.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ae4869e23fa0f40b0f8d2a2b697b4e01a137eca2ff719acb71f169c016a64cc
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size 14432027
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regression/resolution_predictor_20260225_183528_metrics.json
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regression/resolution_predictor_latest.pkl
ADDED
|
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regression/resolution_predictor_latest_metrics.json
ADDED
|
@@ -0,0 +1,39 @@
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| 11 |
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regression/shap_explainer.pkl
ADDED
|
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risk_scores.pkl
ADDED
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root_cause/classifier.pkl
ADDED
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root_cause/vectorizer.pkl
ADDED
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severity.onnx
ADDED
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similarity_index.pkl
ADDED
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training_summary.json
ADDED
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@@ -0,0 +1,61 @@
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| 1 |
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|
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|
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| 40 |
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|
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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"status": "success",
|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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| 51 |
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|
| 52 |
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|
| 53 |
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"Communication": 43,
|
| 54 |
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"External Factors": 25,
|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"Training Gap": 3
|
| 59 |
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}
|
| 60 |
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}
|
| 61 |
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}
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