Spaces:
Configuration error
Configuration error
| import tensorflow as tf | |
| class TelemetryMonitor: | |
| """ | |
| Monitorea m茅tricas en tiempo real de la predicci贸n. | |
| """ | |
| # A帽adir m谩s m茅tricas espec铆ficas para navegaci贸n orbital | |
| def __init__(self): | |
| self.metrics = { | |
| 'position_error': tf.keras.metrics.MeanSquaredError(), | |
| 'velocity_error': tf.keras.metrics.MeanAbsoluteError(), | |
| 'collision_probability': tf.keras.metrics.Mean(), | |
| 'prediction_latency': tf.keras.metrics.Mean(), | |
| 'optimization_time': tf.keras.metrics.Mean() | |
| } | |
| # A帽adir exportaci贸n a sistemas de monitoreo | |
| def export_to_prometheus(self, push_gateway_url): | |
| metrics = self.get_prometheus_metrics() | |
| # C贸digo para exportar a Prometheus | |
| def update_metrics(self, predictions, ground_truth): | |
| for metric in self.metrics.values(): | |
| metric.update_state(predictions, ground_truth) | |
| def get_prometheus_metrics(self): | |
| return {name: metric.result().numpy() for name, metric in self.metrics.items()} | |