This article contains a quick reference and a detailed description of the quotas and limits for Metrics Advisor for Equipment.
| Description | Quota |
|---|---|
| Data ingestion | |
| Maximum number of variables per dataset | 300 |
| Maximum number of datasets per account | 15 |
| Maximum number of pending data ingestion jobs per account | 5 |
| Maximum number of models per account | 15 |
| Maximum length of variable name | 200 characters |
| Maximum size per dataset | 50 GB |
| Minimum granularity of the raw data | 1 min |
| Maximum number of inference schedulers per model | 1 |
| Training and evaluation | |
| Maximum number of data points in training data (data points= number of variables * number of timestamps) | 100 million data points |
| Maximum number of data points in evaluation data | 150K data points |
| Maximum number of variables in training data | 300 |
| Maximum training data sliding window | 2880 data points |
| Maximum number of evaluations per model | 100 |
| Maximum retention of evaluations per model | 30 days |
| Maximum retention of inference per model | 6 months |
| Maximum retention of alert per model | 7 days |
| Real-time Inference Schedule | |
| Maximum number of real-time inference schedule per model | 1 |
| Maximum inferences lead time | 3 days |
| Minimum inference lead time | 1 day |
| Maximum replay time range | 1000 data points |
| Maximum number of replay jobs per inference | 100 |