feat: tire prediction training pipeline — dataset generator + model training script

- scripts/generate_training_data.py: 721K records, 50 vehicles, 6 months
  - Realistic patterns: seasonal temp, altitude, load variation
  - Injected anomalies: slow leaks (8%), punctures (4%), valve failures (3%), overinflation (2%)
  - Per-tire long format with delta_pressure/delta_temp features
  - Output: Parquet partitioned by month

- scripts/train_model.py: SageMaker RCF training + deployment
  - Trains on normal data only (unsupervised anomaly detection)
  - Normalizes features, saves stats to SSM
  - Deploys real-time endpoint
  - Evaluates precision/recall/F1 on labeled test set
  - Saves anomaly threshold to SSM

- data/.gitignore: generated data excluded from git

Usage:
  python3 scripts/generate_training_data.py
  python3 scripts/train_model.py --region us-east-2 --role-arn <arn> --bucket <bucket> --deploy

Author: givenand

guidance-for-predictive-maintenance/data/.gitignore

@@ -0,0 +1,4 @@
+# Generated training data (regenerate with: python3 scripts/generate_training_data.py)
+data/training/*.parquet
+data/training/anomaly_summary.csv
+data/training/normalization_stats.json

guidance-for-predictive-maintenance/data/training/anomaly_summary.csv

@@ -0,0 +1,36 @@
+vehicle_id,tire_id,label,start,end,min_pressure,records
+VEH-0001,FR,slow_leak,2025-02-27 06:00:00+00:00,2025-06-29 17:30:00+00:00,5.0,2444
+VEH-0002,RL,slow_leak,2025-03-14 06:00:00+00:00,2025-06-29 17:30:00+00:00,4.5,2180
+VEH-0004,FR,overinflation,2025-06-04 06:00:00+00:00,2025-06-29 15:30:00+00:00,39.13,530
+VEH-0005,FL,valve_failure,2025-05-26 06:30:00+00:00,2025-06-29 17:00:00+00:00,23.85,276
+VEH-0010,RL,puncture,2025-05-18 06:00:00+00:00,2025-06-29 17:30:00+00:00,4.54,862
+VEH-0012,RR,slow_leak,2025-02-02 06:00:00+00:00,2025-06-29 17:30:00+00:00,4.5,2946
+VEH-0013,FL,slow_leak,2025-04-13 07:00:00+00:00,2025-06-29 17:30:00+00:00,5.0,1566
+VEH-0013,RR,valve_failure,2025-04-22 09:30:00+00:00,2025-06-29 15:30:00+00:00,23.63,568
+VEH-0014,FL,slow_leak,2025-03-18 06:00:00+00:00,2025-06-29 17:30:00+00:00,5.0,2098
+VEH-0014,RL,valve_failure,2025-03-01 06:00:00+00:00,2025-06-29 17:30:00+00:00,24.31,1004
+VEH-0015,FL,overinflation,2025-05-14 06:00:00+00:00,2025-06-29 17:30:00+00:00,32.88,934
+VEH-0015,RL,valve_failure,2025-04-06 06:30:00+00:00,2025-06-29 17:30:00+00:00,21.68,704
+VEH-0017,FL,slow_leak,2025-04-30 06:00:00+00:00,2025-06-29 17:30:00+00:00,5.0,1226
+VEH-0017,FR,valve_failure,2025-04-23 06:00:00+00:00,2025-06-29 17:00:00+00:00,25.21,544
+VEH-0020,RL,slow_leak,2025-05-11 08:00:00+00:00,2025-06-29 17:30:00+00:00,4.5,968
+VEH-0021,FR,puncture,2025-05-14 06:00:00+00:00,2025-06-29 16:30:00+00:00,5.0,914
+VEH-0021,RL,slow_leak,2025-02-20 06:00:00+00:00,2025-06-29 16:30:00+00:00,4.5,2560
+VEH-0022,FL,puncture,2025-06-13 06:00:00+00:00,2025-06-29 17:30:00+00:00,5.0,326
+VEH-0027,FL,valve_failure,2025-05-07 07:00:00+00:00,2025-06-29 17:30:00+00:00,25.53,421
+VEH-0028,RL,overinflation,2025-03-13 06:00:00+00:00,2025-06-29 17:30:00+00:00,33.47,2230
+VEH-0029,FR,puncture,2025-05-18 06:00:00+00:00,2025-06-29 17:30:00+00:00,5.0,832
+VEH-0031,FR,valve_failure,2025-03-14 06:30:00+00:00,2025-06-29 17:30:00+00:00,23.33,898
+VEH-0031,RR,valve_failure,2025-05-20 09:00:00+00:00,2025-06-29 16:30:00+00:00,26.56,357
+VEH-0032,FR,slow_leak,2025-04-15 06:00:00+00:00,2025-06-29 17:30:00+00:00,5.0,1524
+VEH-0034,FL,slow_leak,2025-03-15 06:00:00+00:00,2025-06-29 17:30:00+00:00,5.0,2124
+VEH-0035,RR,slow_leak,2025-03-22 06:00:00+00:00,2025-06-29 17:30:00+00:00,4.5,2002
+VEH-0036,RL,valve_failure,2025-03-17 08:00:00+00:00,2025-06-29 16:30:00+00:00,24.04,872
+VEH-0037,FR,puncture,2025-04-19 06:00:00+00:00,2025-06-29 17:30:00+00:00,5.0,1458
+VEH-0038,FL,overinflation,2025-04-29 07:00:00+00:00,2025-06-29 17:30:00+00:00,34.58,1260
+VEH-0041,FL,slow_leak,2025-03-22 06:00:00+00:00,2025-06-29 17:30:00+00:00,5.0,2000
+VEH-0041,RR,puncture,2025-03-25 07:00:00+00:00,2025-06-29 17:30:00+00:00,4.5,1938
+VEH-0045,RR,slow_leak,2025-04-10 06:00:00+00:00,2025-06-29 16:30:00+00:00,4.5,1640
+VEH-0046,RL,slow_leak,2025-05-15 06:00:00+00:00,2025-06-29 17:30:00+00:00,4.5,908
+VEH-0047,RL,overinflation,2025-06-01 07:00:00+00:00,2025-06-29 17:30:00+00:00,36.13,596
+VEH-0049,RR,slow_leak,2025-02-08 06:00:00+00:00,2025-06-29 17:30:00+00:00,4.5,2848

guidance-for-predictive-maintenance/data/training/normalization_stats.json

@@ -0,0 +1,18 @@
+{
+  "pressure": {
+    "mean": 30.88852404717213,
+    "std": 1.8324599353329474
+  },
+  "temperature": {
+    "mean": 20.919671962708275,
+    "std": 10.237115307841487
+  },
+  "delta_pressure": {
+    "mean": 0.020647134177260235,
+    "std": 0.5609033623462641
+  },
+  "delta_temp": {
+    "mean": 0.006680203301574875,
+    "std": 5.666365829320597
+  }
+}