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Changelog History
Page 10

  • v3.18.0.8 Changes

    🚀 Download at: http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/8/index.html

    Task

    🚀 [PUBDEV-5465] - Release for CRAN submission.

  • v3.18.0.7 Changes

    🚀 Download at: http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/7/index.html

    Bug

    🛠 [PUBDEV-5485] - Fixed a MOJO/POJO scoring issue caused by a serialization bug in EasyPredictModelWrapper.

  • v3.18.0.6 Changes

    🚀 Download at: http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/6/index.html

    Bug

    🛠 [PUBDEV-5484] - In XGBoost, fixed a memory issue that caused training to fail even when running on small datasets.
    📜 [PUBDEV-5441] - When files have a Ctr-M character as part of data in the row and Ctr-M also signifies the end of line in that file, it is now parsed correctly. [PUBDEV-5458] - H2O-3 no longer displays the server version in HTTP response headers. ⚡️ [PUBDEV-5460] - Updated the Mockito library.

    Task

    📦 [PUBDEV-5449] - Conda packages are now availabe on S3, enabling installation for users who cannot access anaconda.org.

    Improvement

    [PUBDEV-5473] - Added an offset to predictBinomial Easy wrapper.

    📄 Docs

    ⚡️ [PUBDEV-5227] - Updated the AutoML chapter of the User Guide to include a link to H2O World AutoML Tutorials and updated code examples that do not use leaderboard_frame. 🙋 [PUBDEV-5457] - Fixed links to POJO/MOJO tutorials in the GBM FAQ > Scoring section.

  • v3.18.0.5 Changes

    🚀 Download at: http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/5/index.html

    Bug

    [PUBDEV-4933] - AutoML no longer trains a Stacked Ensemble with only one model. [PUBDEV-5028] - GBM and GLM grids no longer fail in AutoML for multinomial problems. 🔀 [PUBDEV-5266] - Users can now merge/sort frames that contain string columns. 🛠 [PUBDEV-5303] - Fixed an issue that occured with multinomial GLM POJO/MOJO models. [PUBDEV-5334] - Users can no longer specify a value of 0 for the col_sample_rate_change_per_level parameter. The value for this parameter must be greater than 0 and <= 2.0. [PUBDEV-5336] - The H2O-3 Python client no longer returns an incorrect answer when running a conditional statement. 👍 [PUBDEV-5365] - Added support for CDH 5.14. 🛠 [PUBDEV-5366] - Fixed an issue that caused XGBoost to fail when running the airlines dataset on a single-node H2O cluster. 📜 [PUBDEV-5370] - The H2O-3 parser can now handle utf-8 characters that appear in the header. 🐧 [PUBDEV-5394] - The H2O-3 parser no longer treats the "Ctr-M" character as an end of line on Linux. ⚠ [PUBDEV-5414] - H2O no longer generates a warning when predicting without a weights column.

    New Feature

    🖨 [PUBDEV-5402] - The AutoML leaderboard no longer prints NaNs for non-US locales.

    Task

    [PUBDEV-5235] - Added a demo of XGBoost in Flow. [PUBDEV-5386] - Improved the ordinal regression parameter optimization by changing the implementation.

    Improvement

    [PUBDEV-3978] - In Flow, improved the vertical scrolling for training and validation metrics for thresholds. 🌲 [PUBDEV-5364] - Added more logging regarding the WatchDog client. 👀 [PUBDEV-5383] - Replaced unknownCategoricalLevelsSeenPerColumn with ErrorConsumer events in POJO log messages. [PUBDEV-5400] - Improved the logic that triggers rebalance. [PUBDEV-5404] - AutoML now uses correct datatypes in the AutoML leaderboard TwoDimTable.

    📄 Docs

    [PUBDEV-5292] - Added beta constraints and prior entries to the Parameters Appendix, along with examples in R and Python. 👍 [PUBDEV-5369] - Added CDH 5.14 to the list of supported Hadoop platforms in the User Guide. [PUBDEV-5413] - Updated the documenation for the Ordinal family option in GLM based on the new implementation. Also added new solvers to the documenation: GRADIENT_DESCENT_LH and GRADIENT_DESCENT_SQERR. [PUBDEV-5416] - Added information about Extremely Randomized Trees (XRT) to the DRF chapter in the User Guide. 📚 [PUBDEV-5421] - On the H2O-3 and Sparkling Water download pages, the link to documentation site now points to the most updated version. [PUBDEV-5432] - The target_encode_create and target_encode_apply are now included in the R HTML documentation.

    Fault

    🛠 [PUBDEV-5367] - Fixed an issue that caused SQLManager import to break on cluster with over 100 nodes.

  • v3.18.0.4 Changes

    🚀 Download at: http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/4/index.html

    • 🛠 Fixed minor release process issue preventing Sparkling Water release.

  • v3.18.0.3 Changes

    🚀 Download at: http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/3/index.html

    Bug

    [PUBDEV-5102] - In Flow, the metalearner_fold_column option now correctly displays a drop-down of column names. 🏁 [PUBDEV-5282] - Fixed an issue that caused data import and building models fail when using Flow in IE 11.1944 on Windows 10 Enterprise. [PUBDEV-5323] - Stacked Ensemble no longer fails when using a grid or list of GLMs as the base models. 🛠 [PUBDEV-5330] - Fixed an issue that caused an error when during Parquet data ingest. 🗄 [PUBDEV-5335] - In Random Forest, added back the distribution and offset_column options for backward compatibility. Note that these options are deprecated and will be ignored if used. [PUBDEV-5339] - MOJO export to a file now works correctly. 🛠 [PUBDEV-5343] - Fixed an NPE that occurred when checking if a request is Xhr.

    New Feature

    👍 [PUBDEV-5008] - Added support for ordinal regression in GLM. This is specified using the family option. [PUBDEV-5274] - Added the exclude_algos option to AutoML in Flow. [PUBDEV-5308] - Added a Leave-One-Out Target Encoding option to the R API. This can help improve supervised learning results when there are categorical predictors with high cardinality. Note that a similar function for Python will be available at a later date. 🔊 [PUBDEV-5324] - POJO now logs error messages for all incorrect data types and includes default values rather than NULL when a data type is unexpected.

    Improvement

    🚚 [PUBDEV-5344] - Moved AutoML to the top of the Model menu in Flow.

    📄 Docs

    [PUBDEV-5306] - In the GLM chapter, added Ordinal to the list of family options. Also added Ologit, Oprobit, and Ologlog to the list of link options, which can be used with the Ordinal family.

  • v3.18.0.2 Changes

    🚀 Download at: http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/2/index.html

    Bug

    [PUBDEV-5301] - Distributed XGBoost no longer fails silently when expanding a 4G dataset on a 1TB cluster. 🛠 [PUBDEV-5254] - Fixed an issue that caused GLM Multinomial to not work properly. [PUBDEV-5278] - In XGBoost, when the first domain of a categorical is parseable as an Int, the remaining columns are not automatically assumed to also be parseable as an Int. As a result of this fix, the default value of categorical_encoding in XGBoost is now AUTO rather than label_encoder. 🛠 [PUBDEV-5294] - Fixed an issue that caused XGBoost models to fail to converge when an unknown decimal separator existed. 📜 [PUBDEV-5326] - Fixed an issue in ParseTime that led to parse failing.

    📄 Docs

    [PUBDEV-5313] - In the User Guide, the default value for categorical_encoding in XGBoost is now AUTO rather than label_encoder.

  • v3.18.0.11 Changes

    🚀 Download at: http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/11/index.html

    New Feature

    🚀 [PUBDEV-5584] - Enabled Java 10 support for CRAN release.

    Task

    ✅ [PUBDEV-5585] - GLM tests no longer fail on Java 10.

  • v3.18.0.10 Changes

    🚀 Download at: http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/10/index.html

    Bug

    🛠 [PUBDEV-5558] - Fixed an issue for adding Double.NaN to IntAryVisitor via addValue().

    Task

    📈 [PUBDEV-5559] - Removed all code that referenced Google Analytics. [PUBDEV-5565] - Disabled version check in H2O-3. 📈 [PUBDEV-5567] - Removed all Google Analytics references and code from Flow. 📚 [PUBDEV-5568] - Removed all Google Analytics references and code from Documentation.

    📄 Docs

    🔒 [PUBDEV-5545] - The Security chapter in the User Guide now describes how to enforce system-level command-line arguments in h2odriver when starting H2O.

  • v3.18.0.1 Changes

    🚀 Download at: http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/1/index.html

    Bug

    🛠 [PUBDEV-4585] - Fixed an issue that caused XGBoost binary save/load to fail. 🛠 [PUBDEV-4593] - Fixed an issue that caused a Levensthein Distance Normalization Error. Levenstein distance is now implemented directly into H2O. [PUBDEV-5112] - The Word2Vec Python API for pretrained models no longer requires a training frame. In addition, a new from_external option was added, which creates a new H2OWord2vecEstimator based on an external model. [PUBDEV-5128] - Fixed an issue that caused the show function of metrics base to fail to check for a key custom_metric_name and excepts. [PUBDEV-5129] - The fold column in Kmeans is no longer required to be in x. 📜 [PUBDEV-5130] - The date is now parsed correctly when parsed from H2O-R. [PUBDEV-5133] - In Flow, the scoring history plot is now available for GLM models. 📜 [PUBDEV-5135] - The Parquet parser no longer fails if one of the files to parse has no records. 📜 [PUBDEV-5145] - Added error checking and logging on all the uses of water.util.JSONUtils.parse(). </li> 🛠 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5155'>PUBDEV-5155</a>] - In AutoML, fixed an exception in Python binding that occurred when the leaderboard was empty. </li> 🛠 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5156'>PUBDEV-5156</a>] - In AutoML, fixed an exception in R binding that occurred when the leaderboard was empty. </li> 🚚 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5159'>PUBDEV-5159</a>] - Removed Pandas dependency for AutoML in Python. </li> <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5167'>PUBDEV-5167</a>] - In PySparkling, reading Parquet/Orc data with time type now works correctly in H2O. </li> 🛠 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5174'>PUBDEV-5174</a>] - Fixed a maximum recursion depth error when usingisinin the H2O Python client. </li> 👷 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5175'>PUBDEV-5175</a>] - When running getJobs in Flow, fixed a ClassNotFoundException that occurred when AutoML jobs existed. </li> 🛠 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5179'>PUBDEV-5179</a>] - Fixed an issue that caused a list of columns to be truncated in PySparkling. Light endpoint now returns all columns. </li> 🛠 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5186'>PUBDEV-5186</a>] - In AutoML, fixed a deadlock issue that occurred when two AutoML runs came in the same second, resulting in matching timestamps. </li> <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5191'>PUBDEV-5191</a>] - The offset_column and distribution parameters are no longer available in Random Forest. </li> 🛠 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5195'>PUBDEV-5195</a>] - Fixed an issue in XGBoost that caused MOJOs to fail to work without manually adding the Commons Logging dependency. </li> 🛠 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5203'>PUBDEV-5203</a>] - Fixed an issue that caused XGBoost to mangle the domain levels for datasets that have string response domains. </li> <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5213'>PUBDEV-5213</a>] - In Flow, the separator drop down now shows 3-digit decimal values instead of 2. </li> <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5215'>PUBDEV-5215</a>] - Users can now specify interactions when running GLM in Flow. </li> 🛠 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5228'>PUBDEV-5228</a>] - FrameMetadate code no longer uses hardcoded keys. Also fixed an issue that caused AutoML to fail when multiple AutoMLs are run simultaneously. </li> <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5229'>PUBDEV-5229</a>] - A frame can potentially have a null key. If there is a Frame with a null key (just a container for vecs), H2O no longer attempts to track a null key. </li> 🐧 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5256'>PUBDEV-5256</a>] - Users can now successfully build an XGBoost model as compile chain. XGBoost no longer fails to provide the compatible artifact for an Oracle Linux environment. </li> <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5265'>PUBDEV-5265</a>] - GLM no longer fails when a categorical column exists in the dataset along with an empty value on at least one row. </li> 🛠 <li>[<a href='https://0xdata.atlassian.net/browse/PUBDEV-5286'>PUBDEV-5286</a>] - Fixed an issue that cause GBM grid to fail on some datasets when specifyingsample_rate` in the grid. [PUBDEV-5287] - The x argument is no longer required when performing a grid search. 📜 [PUBDEV-5297] - Fixed an issue that caused the Parquet parser to fail on Spark 2.0 (SW-707). 🛠 [PUBDEV-5315] - Fixed an issue that caused XGBoost OpenMP to fail on Ubuntu 14.04.

    New Feature

    📜 [PUBDEV-4111] - Added support for INT96 timestamp to the Parquet parser. 👍 [PUBDEV-4652] - Added support for XGBoost multinode training in H2O. Note that this is still a BETA feature. [PUBDEV-4980] - Users can now specify a list of algorithms to exclude during an AutoML run. This is done using the new exclude_algos parameter. 🏗 [PUBDEV-5204] - In GLM, users can now specify a list of interactions terms to include when building a model instead of relying on the default action of including all interactions.

    Task

    [PUBDEV-5230] - The Python PCA code examples in github and in the User Guide now use the h2o.estimators.pca.H2OPrincipalComponentAnalysisEstimator method instead of the h2o.transforms.decomposition.H2OPCA method. ⬆️ [PUBDEV-5251] - Upgraded the XGBoost version. This now supports RHEL 6.

    Improvement

    0️⃣ [PUBDEV-5086] - Stacked Ensemble allows you to specify the metalearning algorithm to use when training the ensemble. When an algorithm is specified, Stacked Ensemble runs with the specified algorithm's default hyperparameter values. The new metalearner_params option allows you to pass in a dictionary/list of hyperparameters to use for that algorithm instead of the defaults. 👀 [PUBDEV-5224] - Users can now specify a seed parameter in Stacked Ensemble. 📄 [PUBDEV-5310] - Documented clouding behavior of an H2O cluster. This is available at https://github.com/h2oai/h2o-3/blob/master/h2o-docs/devel/h2o_clouding.rst.

    📄 Docs

    📚 [PUBDEV-5149] - Updated the documentation to indicate that datetime parsing from R and Flow now is UTC by default. 📚 [PUBDEV-5151] - R documentation on docs.h2o.ai is now available in HTML format. [PUBDEV-5172] - Added a new Cloud Integration topic for using H2O with AWS. 👍 [PUBDEV-5221] - In the XGBoost chapter, added that XGBoost in H2O supports multicore. [PUBDEV-5242] - Added interaction_pairs to the list of GLM parameters. [PUBDEV-5283] - Added metalearner_algorithm and metalearner_params to the Stacked Ensembles chapter. 📚 [PUBDEV-5311] - The H2O-3 download site now includes a link to the HTML version of the R documentation. 📚 [PUBDEV-5312] - Updated the XGBoost documentation to indicate that multinode support is now available as a Beta feature. 👀 [PUBDEV-5314] - Added the seed parameter to the Stacked Ensembles section of the User Guide.