Bot releases are visible (Hide)

sagemaker-spark - v1.2.3

Published by jesterhazy over 5 years ago

Bug fixes and other changes

add --ignore-reuse-error to pypi publish

sagemaker-spark - v1.2.2.post0

Published by jesterhazy over 5 years ago

Documentation changes

fix version handling in docbuild

sagemaker-spark - v1.2.2

Published by jesterhazy over 5 years ago

Bug fixes and other changes

setup for automated release builds
set version of pyspark setup.py
update for new ci environment

sagemaker-spark - SageMaker Spark 1.2.1

Published by yangaws almost 6 years ago

spark/pyspark: encode DenseMatrix and SparseMatrix in probobuf Record format
spark/pyspark: add new region support for BOM/SIN/LHR/YUL/SFO

sagemaker-spark - SageMaker Spark 1.2.0

Published by ChoiByungWook about 6 years ago

spark/pyspark: add support for GovCloud

sagemaker-spark - SageMaker Spark 1.1.4

Published by ChoiByungWook about 6 years ago

spark/pyspark bug-fix: Increase default timeout for inference requests

sagemaker-spark - SageMaker Spark 1.1.3

Published by andremoeller about 6 years ago

spark/pyspark feature: LinearLearnerEstimator: Add multi-class classifier

sagemaker-spark - SageMaker Spark 1.1.2

Published by yangaws over 6 years ago

spark/pyspark: Enable FRA and SYD region support for spark SDK

sagemaker-spark - SageMaker Spark 1.1.1

Published by yangaws over 6 years ago

spark/pyspark: Enable ICN region support for spark SDK

sagemaker-spark - SageMaker Spark 1.1.0

Published by yangaws over 6 years ago

spark/pyspark: Enable NRT region support for spark SDK

sagemaker-spark - SageMaker Spark 1.0.5

Published by ChoiByungWook over 6 years ago

pyspark: SageMakerModel: Fix bugs in creating model from training job, s3 file and endpoint
spark/pyspark: XGBoostSageMakerEstimator: Fix seed hyperparameter to use correct type (Int)

sagemaker-spark - SageMaker Spark 1.0.4

Published by owen-t over 6 years ago

spark/pyspark feature: LinearLearnerEstimator: Add more hyper-parameters

sagemaker-spark - SageMaker Spark 1.0.3

Published by winstonaws over 6 years ago

1.0.3

feature: XGBoostSageMakerEstimator: Fix maxDepth hyperparameter to use correct type (Int)

sagemaker-spark - SageMaker Spark 1.0.1

Published by lukmis over 6 years ago

feature: Estimators: add support for Amazon FactorizationMachines algorithm
feature: Documentation: multiple updates to README, scala docs, addition of CHANGELOG.rst file
feature: Setup: update SBT plugins
feature: Setup: add travis file

sagemaker-spark - SageMaker Spark 1.0.0

Published by iquintero almost 7 years ago

SageMaker Spark is an open source Spark library for Amazon SageMaker. With SageMaker Spark you construct Spark ML Pipelines using Amazon SageMaker stages. These pipelines interleave native Spark ML stages and stages that interact with SageMaker training and model hosting.

With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrames using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrames against SageMaker endpoints hosting your trained models, and, if you have your own ML algorithms built into SageMaker compatible Docker containers, you can use SageMaker Spark to train and infer on DataFrames with your own algorithms -- all at Spark scale.