| { |
| "model_type": "ClimateRNN", |
| "architecture": "LSTM", |
| "framework": "PyTorch", |
| "version": "1.0.0", |
| "hyperparameters": { |
| "input_size": 4, |
| "hidden_size": 96, |
| "num_layers": 2, |
| "dropout": 0.10027879545211107, |
| "seq_length": 30, |
| "learning_rate": 0.00037446563861783026, |
| "batch_size": 32, |
| "grad_clip_max_norm": 1.0 |
| }, |
| "features": { |
| "input_features": [ |
| "meantemp", |
| "humidity", |
| "wind_speed", |
| "meanpressure" |
| ], |
| "target_feature": "meantemp", |
| "target_idx": 0, |
| "feature_order": "Features must be provided in exact order: meantemp, humidity, wind_speed, meanpressure" |
| }, |
| "preprocessing": { |
| "scaler": "MinMaxScaler", |
| "fit_on": "training_data", |
| "scaler_file": "scaler.pkl" |
| }, |
| "performance": { |
| "test_mae": 1.93, |
| "test_rmse": 2.422, |
| "validation_mse": 0.007749, |
| "unit": "celsius" |
| }, |
| "training": { |
| "dataset": "Daily Delhi Climate", |
| "training_samples": 1170, |
| "validation_samples": 292, |
| "test_samples": 114, |
| "training_date_range": "2013-01-01 00:00:00 to 2017-01-01 00:00:00", |
| "test_date_range": "2017-01-01 00:00:00 to 2017-04-24 00:00:00", |
| "optimizer": "Adam", |
| "scheduler": "ReduceLROnPlateau", |
| "epochs": 50 |
| }, |
| "inference": { |
| "input_format": "30-day sequence of 4 climate features", |
| "output_format": "Next-day temperature prediction in Celsius", |
| "device": "cpu", |
| "expected_latency_ms": 20 |
| }, |
| "metadata": { |
| "created_at": "2026-05-15", |
| "pytorch_version": "2.12.0+cu130", |
| "python_version": "3.11+", |
| "license": "MIT" |
| } |
| } |
