Save and reuse an experiment comparison
Save a Polyaxon comparison's query, columns, sorting and charts, reopen it for later runs, and share reusable searches and dashboards with your team.
ProductExperimentationCollaboration
Latest articles
The latest guides, tutorials, and product updates.
Compare runs across synchronized charts
Compare six experiments at the same epoch, zoom across metric charts together, and configure tooltips with multiple live metric columns and run parameters.
ProductExperimentation
Autoresearch as a controlled experiment
A design note on autonomous experimentation: fixed protocols, selection bias, independent evaluation, and durable research campaigns in Polyaxon.
RoadmapAI AgentsExperimentation
Tune PyTorch models with Polyaxon
Tune a PyTorch model's depth, width, dropout, optimizer, and learning rate with native TPE, GPU trials, and validation accuracy in Polyaxon.
PolyaxonHyperparameter TuningPyTorch
Tune hyperparameters with native TPE in Polyaxon
Use completed trial results to guide hyperparameter choices with native TPE, run GPU training trials, and compare validation loss in Polyaxon.
PolyaxonHyperparameter TuningExperimentation
Schedule mapped runs in the order you specify
Use an ordered Polyaxon mapping for a curated list of experiments, control concurrency, and distinguish scheduling order from dependencies and completion order.
PolyaxonOrchestrationExperimentation
Separate evaluator changes from application improvements
Compare old and new application outputs under both evaluator versions, inspect changed decisions, and retain the four comparisons in Polyaxon.
LLMOpsEvaluationExperimentation
Design a search space before launching the sweep
Use Polyaxon matrices to choose parameter scales, separate meaningful combinations, and control the size of a hyperparameter sweep.
Hyperparameter TuningMLOpsExperimentation
Did you find better hyperparameters—or a lucky seed?
Confirm hyperparameter finalists across matched training seeds, compare variation and paired differences, and reserve compute for a defensible final choice.
Hyperparameter TuningMLOpsExperimentation
Archive a sweep and its child runs together
Archive a Polyaxon sweep or DAG through its parent run, understand what happens to unfinished children, and restore retained records from Python.
ProductAutomationExperimentation
Decide when to stop a training trial
Calibrate early stopping against full training runs, compare equivalent training progress, and track pruning decisions with Polyaxon before enforcing them.
Hyperparameter TuningPyTorchExperimentation