Add LightGBM daily high forecasting pipeline
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{
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"model_type": "LightGBMRegressor",
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"target": "actual_high",
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"horizon": "D0",
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"feature_names": [
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"actual_high_lag_1",
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"actual_high_lag_2",
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"actual_high_lag_3",
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"actual_high_lag_7",
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"actual_high_mean_7",
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"actual_high_mean_14",
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"actual_high_trend_3",
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"open_meteo",
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"ecmwf",
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"gfs",
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"gem",
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"jma",
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"icon",
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"mgm",
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"nws",
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"deb_prediction",
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"model_median",
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"model_spread",
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"current_temp",
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"max_so_far",
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"humidity",
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"wind_speed_kt",
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"visibility_mi",
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"local_hour",
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"month",
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"weekday",
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"peak_status_code"
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],
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"base_model_columns": [
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"open_meteo",
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"ecmwf",
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"gfs",
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"gem",
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"jma",
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"icon",
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"mgm",
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"nws"
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],
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"model_path": "artifacts\\models\\lgbm_daily_high.txt",
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"sample_count": 29,
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"train_count": 17,
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"validation_count": 12,
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"metrics": {
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"validation": {
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"sample_count": 12,
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"lgbm_mae": 2.975,
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"deb_mae": 2.267,
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"best_single_mae": 1.167,
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"median_mae": 2.483
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},
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"full_sample": {
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"sample_count": 29,
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"lgbm_mae": 1.442,
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"deb_mae": 3.448,
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"best_single_mae": 2.486,
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"median_mae": 3.628
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}
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},
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"generated_at": "2026-03-29T14:57:35.832414Z",
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"trained_at": "2026-03-29T14:57:35.832414Z"
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}
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