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H2O v3.24.0.3 Release Notes

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

    Bug

    ⚡️ [PUBDEV-5969] - Updated H2O-3 Plotting Functionality to be Compatible with Matplotlib Version 3.0.0. 👀 [PUBDEV-6384] - Flow now shows the correct long value of a seed. 🛠 [PUBDEV-6394] - Fixed an issue that cause Rapids string operations on enum (categorical) columns to yield counterintuitive results. 🛠 [PUBDEV-6402] - Fixed an issue that caused monotonicity constraint in XGBoost to fail with certain parameters 📜 [PUBDEV-6408] - Fixed an ArrayIndexOutOfBounds error. that occurred when parsing quotes in CSV files. 🖨 [PUBDEV-6416] - Fixed an error with Grid Search that caused the API to print errors not related to model CURRENTLY being added to the grid, but for all previous failures. This occurred even when the model was not added to the grid due to failure. 👷 [PUBDEV-6431] - Fixed an exception that occurred when requesting Jobs from h2o. [PUBDEV-6439] - When using Python 2.7, fixed an issue with non-ascii character handling in the as_data_frame() method. [PUBDEV-6449] - Predicting on a dataset that has a response column with domain in a different order no longer leads to memory leaks. 👀 [PUBDEV-6451] - Fixed an issue with retrieving details of a GLM model in Flow due to lack of support for long seeds.

    Improvement

    🔊 [PUBDEV-6419] - Simplified the directory structure of logs within downloaded zip archives. ⬆️ [PUBDEV-6428] - Upgrades XGBoost to latest stable build. [PUBDEV-6435] - Users can how import and upload MOJOs in R and Python using import_mojo() and upload_mojo(). [PUBDEV-6450] - It is now possible to retrieve a list of features from a trained model.

    📄 Docs

    🙋 [PUBDEV-6024] - Enhanced the GBM Reproducibility FAQ. [PUBDEV-6456] - Added information about the Target Encoding smoothing parameter to the User Guide.