Metrics for Machine Learning
Project description
ML Metrics
A simple and flexible API to log metrics. Currently a metrics logger for logging to SQLite is implemented. Other backends can be implemented as needed.
Quickstart
Write Logs
from mlmetrics.sqlitemetrics.sqlite_metric import SqliteMetric
db = './metrics.db'
metric = SqliteMetric(db, name='fuel_gauge', labels={'model', 'trip'})
metric.log(model='toyota', trip='short', value=1.2)
Query Logs
from mlmetrics.sqlitemetrics.sqlite_metric import SqliteMetric
db = './metrics.db'
logs = metric.logs(start=1550554038.80172, end=1550554038.80265)
for row in logs:
for fld in row.keys():
print(fld, row[fld])
For more details see the Homepage
Project details
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