Go to Settings > Automation > Webhooks . You can connect MLHBDAPP New to IFTTT or Zapier. For example, set a webhook to automatically back up your MLHBDAPP files to Google Drive every time you connect to your home Wi-Fi.
– such as a new low-code/ML tool, blockchain dApp builder, or academic project. mlhbdapp new
| Feature | Description | Typical Use‑Case | |---------|-------------|------------------| | | Real‑time charts for latency, error‑rate, throughput, GPU/CPU memory, and custom KPIs. | Spot performance regressions instantly. | | Data‑Drift Detector | Statistical tests (KS, PSI, Wasserstein) + visual diff of feature distributions. | Alert when input data deviates from training distribution. | | Model‑Quality Tracker | Track accuracy, F1, ROC‑AUC, calibration, and custom loss functions per version. | Compare new releases vs. baseline. | | AI‑Explainable Anomalies (v2.3) | LLM‑powered “Why did latency spike?” narratives with root‑cause suggestions. | Reduce MTTR (Mean Time To Resolve) for incidents. | | Alert Engine | Configurable thresholds → Slack, Teams, PagerDuty, email, or custom webhook. | Automated ops hand‑off. | | Plugin SDK | Write Python or JavaScript plugins to ingest any metric (e.g., custom business KPIs). | Extend to non‑ML health checks (e.g., DB latency). | | Collaboration | Shareable dashboards with role‑based access, comment threads, and export‑to‑PDF. | Cross‑team incident post‑mortems. | | Deploy Anywhere | Docker image ( mlhbdapp/server ), Helm chart, or as a Serverless function (AWS Lambda). | Fits on‑prem, cloud, or edge environments. | Go to Settings > Automation > Webhooks
The is designed to digitize the workflow of patient care involving bedside monitoring and laboratory diagnostics. The "New" iteration focuses on upgrading the legacy system to a cloud-native architecture, enabling better scalability, real-time data processing, and remote accessibility. – such as a new low-code/ML tool, blockchain