Releases v0.3.0
commit • Only link models to apps in k8s test the first time model is registered (#290 )
commit • update benchmark readme (#293 )
commit • Batch size estimation fix (#294 )
commit • R Model Deployment (#261 )
commit • Minor cleanup to rpc.py (#295 )
commit • Update docker publish script to publish minor version tags (#298 )
commit • Fix typos in k8s method calls. (#299 )
commit • Fix broken links (#303 )
commit • Add CLIPPER_INPUT_TYPE to environment when launching k8s model container. (#304 )
commit • Fix Issue with ClipperException and Docker not running case (#308 )
commit • Support InternalIP address for K8S (#316 )
commit • Support for Generic Tensorflow Models (#319 )
commit • Converted path to posixpath in python deployer (#318 )
commit • Fix a broken link in the README.md (#323 )
commit • Fixed conda object manipulation problem (#297 )
commit • Support Deployment of SparkML Models (#324 )
commit • Handle exceptions associated with loading nonexistent libraries (#344 )
commit • Support deploying Saved Tensorflow Models (#328 )
commit • Batch predict (#321 )
commit • Support for PyTorch model (#346 )
commit • Adding function: Allow users to designate the number of batches (#320 )
commit • Metrics Monitoring: A minimal viable product (#348 )
commit • Fix dict unpacking lint error (#356 )
commit • Support Boost 1.66.0 (#358 )
commit • Turn off ssl verification to fix conda http error (#369 )
commit • Fix error (#373 )
commit • Fix port already bound error in integration tests (#368 )
commit • Metrics and Monitoring V0.0.2: Model Container, Latencies, and Example (#357 )
commit • Integration test for fixed-batch-size model deployment (#370 )
commit • fixed decoding error when when parsing graph_def from string. (#377 )
commit • Metric Monitoring: Set Prometheus Version Tag (#384 )
commit • replaced queues in RPC layer with MoodyCamel's lock-free queues (#380 )
commit • Handle ChunkedEncodingError on check_solvability_write_deps() (#398 )
commit • Support latest conda version (#385 )
commit • Metric Monitoring: Add to/Delete from the metric config of Prometheus (#402 )
commit • Fix flakiness in fixed batch size integration test (#387 )
commit • StateDB Cache (#350 )
commit • Explicitly install redis-server when building test container (#410 )
commit • Added MXNet Deployment Capability (replaces #390 ) (#405 )
commit • [Metric] Refactor Frontend-exporter (#413 )
commit • Improved README with direct links to github profiles (#414 )
commit • Fix a bug that QueryFrontend adds a garbage to http response (#415 )
commit • PyTorch + ONNX + Caffe2 Model deployer (#362 )
commit • results of profiling JSON parsing latency (#418 )
commit • Fix installation order errors in deployer containers (#426 )
commit • Container Manager Wait Until Ready (#417 )
commit • fix libsodium issue (#432 )
commit • [Metrics] Frontend-exporter fault tolerance quick fix (#429 )
commit • Model container testing function to clipper admin (Vanilla python) (#394 )
commit • Upgrade SimpleWebServer to version 2.1.1 (#438 )
commit • [Metrics] Kubernetes Support & Maintenance (#427 )
commit • Add ability to install packages + xgboost model deployer + example (#431 )
commit • Add missing integration tests, clean up dockerfiles, and remove Anaconda dependencies (#435 )
commit • Implement Metric Server (#440 )
commit • Fix QueryFrontend bug (#458 )
commit • Ensure container/model is ready to be queried (#447 )
commit • Fix hard coded checkpoint prefix for tensorflow deployer. (#464 )
commit • Add functionality to delete applications (#457 )
commit • R model serialization fixes (#444 )
commit • Address k8s del_svc api change (#470 )
commit • Container heartbeat (#378 )
commit • Add Grafana image tag to avoid pulling all versions (#471 )
commit • Shorten input for kube integration test (#480 )
commit • Temporarily Disable Caffe2 Build & Test (#479 )
commit • update java version in docker files (#485 )
commit • Adds support for kubectl proxy in kubernetes container manager (#455 )
commit • Add Python 3 support (#416 )
commit • Don't quit on warning when installing R dependencies (#487 )
commit • Query Frontend Scale-out via Kubernetes Service (#462 )
commit • Added functionality to query previous version models (#454 )
commit • Update FindBoost.cmake to support Boost 1.67.0 (#489 )
commit • Fix an infinite loop of GarbageCollectionThread (#481 )
commit • Fix issues with model version querying (#497 )
commit • Issue with Number of Frontend Replicas (#496 )
commit • fixed bug in querying for specific versions (#493 )
commit • Performance improvements: RPC, Data management, hashing (#393 )
commit • Fix the following build error of rpc_service.cpp (#502 )
commit • Move reading of Clipper env variables out of user code into RPC system code (#505 )
commit • Add Python 3 support for the remaining model deployers (#488 )
commit • Example of Querying with An Image (#504 )
commit • Adaptive Batching v2 (#451 )
commit • Support k8s namespaces (#500 )
commit • Add API documentation for model deployers and R models (#498 )
commit • added readthedocs requirements file (#507 )
commit • Update readme (#508 )
commit • Fix Documentation (#510 )
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