What's new and changed in Watson Machine Learning

Refresh 9 of Cloud Pak for Data Version 4.0

A new version of Watson Machine Learning was released in May 2022.

Operand version: 4.0.9

Security fixes

This release includes fixes for the following security issues:

CVE-2020-36518, CVE-2021-43566, CVE-2021-45346, CVE-2022-1154, CVE-2022-1271, CVE-2022-23592, CVE-2022-23593, CVE-2022-24785, CVE-2022-27191

Refresh 8 of Cloud Pak for Data Version 4.0

A new version of Watson Machine Learning was released in April 2022.

Operand version: 4.0.8

New features

The 4.0.8 release of Watson Machine Learning includes the following features and updates:

Python 3.7 and 3.8 software specifications discontinued

Support for frameworks and software specifications based on Python 3.7 and 3.8 are discontinued in this release. Use software specifications based on Python 3.9 instead. For details, see Deployment frameworks and software specifications.

Train AutoAI experiment with data from a Generic S3 connection

You can now train an AutoAI experiment with data from a Generic S3 connection. This connection is available for training only and is not yet available for input data when you deploy the resulting model.

Support is discontinued for Core ML deployments for iOS

Core ML deployments for iOS, also known as virtual deployments, are no longer a supported deployment type.

Security fixes

This release includes fixes for the following security issues:

CVE-2005-4807, CVE-2005-4808, CVE-2006-2362, CVE-2007-1420, CVE-2007-2691, CVE-2007-3641, CVE-2007-3644, CVE-2007-3645, CVE-2007-5925, CVE-2009-0819, CVE-2009-4028, CVE-2010-1621, CVE-2010-1626, CVE-2010-3677, CVE-2010-3682, CVE-2010-5312, CVE-2011-1777, CVE-2011-1778, CVE-2012-6662, CVE-2013-7397, CVE-2013-7398, CVE-2014-0193, CVE-2014-3488, CVE-2014-8484, CVE-2014-8485, CVE-2014-8501, CVE-2014-8502, CVE-2014-8503, CVE-2014-8504, CVE-2014-8737, CVE-2014-8738, CVE-2014-9939, CVE-2015-2156, CVE-2015-2575, CVE-2015-8315, CVE-2016-10735, CVE-2016-20012, CVE-2016-2402, CVE-2016-3720, CVE-2016-4074, CVE-2017-12448, CVE-2017-12449, CVE-2017-12450, CVE-2017-12451, CVE-2017-12452, CVE-2017-12453, CVE-2017-12454, CVE-2017-12455, CVE-2017-12456, CVE-2017-12457, CVE-2017-12458, CVE-2017-12459, CVE-2017-14063, CVE-2017-14166, CVE-2017-14501, CVE-2017-15713, CVE-2017-16137, CVE-2017-17095, CVE-2018-1000021, CVE-2018-1000654, CVE-2018-1000873, CVE-2018-1000879, CVE-2018-1000880, CVE-2018-10779, CVE-2018-10801, CVE-2018-1121, CVE-2018-11765, CVE-2018-11768, CVE-2018-14040, CVE-2018-14042, CVE-2018-15209, CVE-2018-15919, CVE-2018-16335, CVE-2018-16428, CVE-2018-16435, CVE-2018-17101, CVE-2018-17360, CVE-2018-17794, CVE-2018-17985, CVE-2018-18064, CVE-2018-18309, CVE-2018-18483, CVE-2018-18484, CVE-2018-18605, CVE-2018-18606, CVE-2018-18607, CVE-2018-18700, CVE-2018-18701, CVE-2018-19210, CVE-2018-19211, CVE-2018-19217, CVE-2018-19876, CVE-2018-20002, CVE-2018-20623, CVE-2018-20651, CVE-2018-20657, CVE-2018-20673, CVE-2018-20676, CVE-2018-20677, CVE-2018-20803, CVE-2018-20804, CVE-2018-20805, CVE-2018-20839, CVE-2018-20846, CVE-2018-25004, CVE-2018-5360, CVE-2018-8029, CVE-2019-11026, CVE-2019-12814, CVE-2019-12904, CVE-2019-12972, CVE-2019-13224, CVE-2019-14250, CVE-2019-14540, CVE-2019-16163, CVE-2019-16335, CVE-2019-16869, CVE-2019-19012, CVE-2019-19203, CVE-2019-19204, CVE-2019-19246, CVE-2019-20388, CVE-2019-20444, CVE-2019-20445, CVE-2019-20923, CVE-2019-20925, CVE-2019-2201, CVE-2019-2386, CVE-2019-2389, CVE-2019-2392, CVE-2019-2393, CVE-2019-6110, CVE-2019-6128, CVE-2019-6461, CVE-2019-6462, CVE-2019-7317, CVE-2019-8331, CVE-2019-8905, CVE-2019-8906, CVE-2019-9071, CVE-2019-9074, CVE-2019-9075, CVE-2019-9077, CVE-2019-9543, CVE-2019-9740, CVE-2020-12401, CVE-2020-12413, CVE-2020-13091, CVE-2020-13645, CVE-2020-13790, CVE-2020-15257, CVE-2020-15778, CVE-2020-19131, CVE-2020-1967, CVE-2020-21674, CVE-2020-24977, CVE-2020-25219, CVE-2020-25658, CVE-2020-26154, CVE-2020-26215, CVE-2020-27218, CVE-2020-27223, CVE-2020-29651, CVE-2020-29652, CVE-2020-35457, CVE-2020-35492, CVE-2020-35512, CVE-2020-36048, CVE-2020-36049, CVE-2020-36242, CVE-2020-6802, CVE-2020-6816, CVE-2020-7595, CVE-2020-7921, CVE-2020-7923, CVE-2020-7928, CVE-2020-7929, CVE-2020-8244, CVE-2020-9492, CVE-2021-1639, CVE-2021-20066, CVE-2021-20270, CVE-2021-20294, CVE-2021-20330, CVE-2021-20333, CVE-2021-21300, CVE-2021-23177, CVE-2021-23222, CVE-2021-23368, CVE-2021-23382, CVE-2021-27218, CVE-2021-27219, CVE-2021-28153, CVE-2021-28169, CVE-2021-29425, CVE-2021-31566, CVE-2021-32036, CVE-2021-32797, CVE-2021-32798, CVE-2021-3281, CVE-2021-33571, CVE-2021-33587, CVE-2021-33623, CVE-2021-34428, CVE-2021-3449, CVE-2021-3450, CVE-2021-34558, CVE-2021-34798, CVE-2021-35937, CVE-2021-35938, CVE-2021-35939, CVE-2021-35958, CVE-2021-3634, CVE-2021-37692, CVE-2021-3803, CVE-2021-3842, CVE-2021-3918, CVE-2021-39275, CVE-2021-39537, CVE-2021-3997, CVE-2021-3999, CVE-2021-40330, CVE-2021-40528, CVE-2021-41043, CVE-2021-41182, CVE-2021-41183, CVE-2021-41184, CVE-2021-41617, CVE-2021-4209, CVE-2021-4217, CVE-2021-42694, CVE-2021-43618, CVE-2021-43797, CVE-2021-44420, CVE-2021-44531, CVE-2021-44532, CVE-2021-44533, CVE-2021-44568, CVE-2021-44569, CVE-2021-44570, CVE-2021-44571, CVE-2021-44573, CVE-2021-44574, CVE-2021-44575, CVE-2021-44576, CVE-2021-44577, CVE-2021-45940, CVE-2021-45941, CVE-2021-45960, CVE-2021-46143, CVE-2022-0261, CVE-2022-0318, CVE-2022-0355, CVE-2022-0359, CVE-2022-0361, CVE-2022-0392, CVE-2022-0413, CVE-2022-0529, CVE-2022-0530, CVE-2022-0561, CVE-2022-0845, CVE-2022-0868, CVE-2022-21670, CVE-2022-21699, CVE-2022-21725, CVE-2022-21726, CVE-2022-21727, CVE-2022-21728, CVE-2022-21729, CVE-2022-21730, CVE-2022-21731, CVE-2022-21732, CVE-2022-21733, CVE-2022-21734, CVE-2022-21735, CVE-2022-21736, CVE-2022-21737, CVE-2022-21738, CVE-2022-21739, CVE-2022-21740, CVE-2022-21741, CVE-2022-21824, CVE-2022-22815, CVE-2022-22816, CVE-2022-22817, CVE-2022-22822, CVE-2022-22823, CVE-2022-22824, CVE-2022-22825, CVE-2022-22826, CVE-2022-22827, CVE-2022-22844, CVE-2022-23218, CVE-2022-23219, CVE-2022-23308, CVE-2022-23557, CVE-2022-23558, CVE-2022-23559, CVE-2022-23560, CVE-2022-23561, CVE-2022-23562, CVE-2022-23563, CVE-2022-23564, CVE-2022-23565, CVE-2022-23566, CVE-2022-23567, CVE-2022-23568, CVE-2022-23569, CVE-2022-23570, CVE-2022-23571, CVE-2022-23572, CVE-2022-23573, CVE-2022-23574, CVE-2022-23575, CVE-2022-23576, CVE-2022-23577, CVE-2022-23578, CVE-2022-23579, CVE-2022-23580, CVE-2022-23581, CVE-2022-23582, CVE-2022-23583, CVE-2022-23584, CVE-2022-23585, CVE-2022-23586, CVE-2022-23587, CVE-2022-23588, CVE-2022-23589, CVE-2022-23590, CVE-2022-23591, CVE-2022-23594, CVE-2022-23595, CVE-2022-23852, CVE-2022-24975, CVE-2022-25235, CVE-2022-25236, CVE-2022-25308, CVE-2022-25309, CVE-2022-25310, CVE-2022-25313, CVE-2022-25314, CVE-2022-25315

Refresh 7 of Cloud Pak for Data Version 4.0

A new version of Watson Machine Learning was released in February 2022.

Operand version: 4.0.7

New features

The 4.0.7 release of Watson Machine Learning includes the following features and updates:

Support for new data sources for AutoAI experiments

Train your AutoAI experiments with data stored in Oracle, Teradata, or Google BigQuery databases.

Better insights into your deployed assets

The Deployments dashboard now provides visual indicators for deprecated assets so you know at a glance when assets need updating.

New way to deploy code packages

You can now browse for code packages from a deployment space and create a deployment job for the package without having to use CPDCTL.

Federated learning now supports Python 3.9

Use a more secure version of Python for your Federated Learning experiments with these frameworks:

• Tensorflow 2.7
• PyTorch 1.10
• Scikit-learn 1.0.2

Python 3.8 and all associated frameworks are being deprecated. Upgrade your Federated Learning experiments to Python 3.9 and implement fully supported frameworks. For more information, see Frameworks and Python version compatibility.

Security fixes

This release includes fixes for the following security issues:

CVE-2001-0497, CVE-2007-2930, CVE-2009-0265, CVE-2009-0581, CVE-2009-0723, CVE-2009-0733, CVE-2010-3762, CVE-2015-5477, CVE-2015-5722, CVE-2015-5986, CVE-2016-20012, CVE-2016-2776, CVE-2017-5932, CVE-2018-5741, CVE-2019-12387, CVE-2019-12855, CVE-2019-18276, CVE-2019-6470, CVE-2020-10108, CVE-2020-10109, CVE-2020-13692, CVE-2020-29582, CVE-2020-8625, CVE-2021-23437, CVE-2021-2471, CVE-2021-25214, CVE-2021-25215, CVE-2021-25216, CVE-2021-25219, CVE-2021-29923, CVE-2021-3449, CVE-2021-35042, CVE-2021-3521, CVE-2021-36221, CVE-2021-38297, CVE-2021-3842, CVE-2021-3872, CVE-2021-39031, CVE-2021-39293, CVE-2021-3984, CVE-2021-4019, CVE-2021-41092, CVE-2021-41125, CVE-2021-4118, CVE-2021-4122, CVE-2021-4192, CVE-2021-4193, CVE-2021-43519, CVE-2021-46195, CVE-2022-21668, CVE-2022-21724

Refresh 6 of Cloud Pak for Data Version 4.0

A new version of Watson Machine Learning was released in February 2022.

Operand version: 4.0.6

New features

The 4.0.6 release of Watson Machine Learning includes the following features and updates:

Edit hardware specifications for online deployments

You can now update the hardware specification for some online deployments to allocate computing resources to the deployment. For details, see Creating an online deployment.

Support for new data sources for training and deploying AutoAI experiments

Expanded support for connecting to data in popular databases, including Datastax and Exasol, for training and deployment. For details, see:

• AutoAI overview for training sources
• Batch deployment details for deployment sources

Use the latest, more secure frameworks for machine learning

To provide you with more secure frameworks, older software specifications based on Python 3.7 are deprecated and new specifications built on Python 3.9 are available. Additionally, Spark 2.4 is removed, with full support available for Spark 3.0. For details on additions, removals, and deprecations, see Software specifications.

Use storage volumes with your Shiny app deployments

You can now access log files and large data files of Shiny apps with default auto mounting of storage volume connections you created in a project or space. Users can now read and write files from the deployed Shiny app. Cloud Pak for Data also supports disabling auto mount and setting individual mount access via the API. For details, see Creating Shiny app deployments.

Updates to Federated Learning frameworks and API

• The Federated Learning module is now part of the Python client for Watson Machine Learning. All API functions that contain ibmfl will be removed in a future release. Update the Watson Machine Learning module and the party connector script to the latest version.
• Scikit-learn 1.0.2 is now a supported framework for Federated Learning training.
• Python 3.7 is deprecated and will be removed in a future release. Update to Python 3.8 to continue using Federated Learning. Python 3.9 is not supported for training but is supported for deploying models that use the Python 3.9 software spec. For details, see Frameworks and Python version compatibility.

Security fixes

This release includes fixes for the following security issues:

CVE-2018-11765, CVE-2018-11767, CVE-2018-1296, CVE-2018-19787, CVE-2018-6594, CVE-2018-7489, CVE-2018-8009, CVE-2019-12308, CVE-2019-12781, CVE-2019-13750, CVE-2019-13751, CVE-2019-14232, CVE-2019-14233, CVE-2019-14234, CVE-2019-14235, CVE-2019-16866, CVE-2019-16869, CVE-2019-17195, CVE-2019-17594, CVE-2019-17595, CVE-2019-18218, CVE-2019-19603, CVE-2019-19844, CVE-2019-20444, CVE-2019-20445, CVE-2019-20838, CVE-2019-3498, CVE-2019-5827, CVE-2019-6975, CVE-2020-10001, CVE-2020-12762, CVE-2020-13435, CVE-2020-13558, CVE-2020-14039, CVE-2020-14155, CVE-2020-16135, CVE-2020-24370, CVE-2020-24870, CVE-2020-25648, CVE-2020-27783, CVE-2020-27828, CVE-2020-27918, CVE-2020-29623, CVE-2020-35490, CVE-2020-35491, CVE-2020-36241, CVE-2020-7471, CVE-2020-8037, CVE-2020-9402, CVE-2021-1765, CVE-2021-1788, CVE-2021-1789, CVE-2021-1799, CVE-2021-1801, CVE-2021-1844, CVE-2021-1870, CVE-2021-1871, CVE-2021-20231, CVE-2021-20232, CVE-2021-20266, CVE-2021-21290, CVE-2021-21295, CVE-2021-21409, CVE-2021-21775, CVE-2021-21779, CVE-2021-21806, CVE-2021-22876, CVE-2021-22898, CVE-2021-22924, CVE-2021-22925, CVE-2021-2341, CVE-2021-2369, CVE-2021-23840, CVE-2021-2388, CVE-2021-26926, CVE-2021-26927, CVE-2021-27218, CVE-2021-27645, CVE-2021-28153, CVE-2021-28650, CVE-2021-28957, CVE-2021-30663, CVE-2021-30665, CVE-2021-30682, CVE-2021-30689, CVE-2021-30720, CVE-2021-30734, CVE-2021-30744, CVE-2021-30749, CVE-2021-30758, CVE-2021-30795, CVE-2021-30797, CVE-2021-30799, CVE-2021-31535, CVE-2021-3200, CVE-2021-3272, CVE-2021-33203, CVE-2021-33560, CVE-2021-33574, CVE-2021-3426, CVE-2021-3445, CVE-2021-3521, CVE-2021-35515, CVE-2021-35516, CVE-2021-35517, CVE-2021-35550, CVE-2021-35565, CVE-2021-35942, CVE-2021-36084, CVE-2021-36085, CVE-2021-36086, CVE-2021-36087, CVE-2021-36090, CVE-2021-36222, CVE-2021-37136, CVE-2021-37137, CVE-2021-37750, CVE-2021-3778, CVE-2021-3796, CVE-2021-3828, CVE-2021-3872, CVE-2021-3984, CVE-2021-4019, CVE-2021-41495, CVE-2021-41496, CVE-2021-42343, CVE-2021-42574, CVE-2021-43527, CVE-2021-43818, CVE-2021-43854, CVE-2021-44420, CVE-2021-44832

Refresh 5 of Cloud Pak for Data Version 4.0

A new version of Watson Machine Learning was released in January 2022.

Operand version: 4.0.5

Security fixes

This release includes fixes for the following security issues:

CVE 2021-45105, CVE 2021-45046

Refresh 4 of Cloud Pak for Data Version 4.0

A new version of Watson Machine Learning was released in December 2021.

Operand version: 4.0.4

Security fixes

This release includes fixes for the following security issues:

CVE-2021-44228, CVE-2021-33574, CVE-2020-25649, CVE-2021-35567, CVE-2021-36085, CVE-2020-14145, CVE-2021-3796, CVE-2021-27645, CVE-2021-35586, CVE-2018-1324, CVE-2019-17595, CVE-2021-39293, CVE-2021-33197, CVE-2020-13435, CVE-2020-8037, CVE-2020-12762, CVE-2021-22898, CVE-2021-39537, CVE-2018-19211, CVE-2020-12399, CVE-2021-29921, CVE-2021-35942, CVE-2018-10237, CVE-2021-35556, CVE-2021-35517, CVE-2021-3445, CVE-2021-33938, CVE-2018-15919, CVE-2019-13750, CVE-2021-22925, CVE-2021-40330, CVE-2019-20838, CVE-2017-18640, CVE-2021-36090, CVE-2019-17571, CVE-2021-35578, CVE-2018-5727, CVE-2018-1000021, CVE-2021-3200, CVE-2020-8908, CVE-2020-27845, CVE-2019-13751, CVE-2020-27842, CVE-2019-5827, CVE-2019-12973, CVE-2021-35559, CVE-2018-11771, CVE-2021-26926, CVE-2021-22922, CVE-2021-36084, CVE-2021-3114, CVE-2019-6110, CVE-2020-27828, CVE-2021-33929, CVE-2021-41184, CVE-2020-27823, CVE-2021-21300, CVE-2021-26927, CVE-2021-23840, CVE-2021-35561, CVE-2018-2581, CVE-2021-33928, CVE-2021-33503, CVE-2021-20266, CVE-2021-28153, CVE-2020-14039, CVE-2021-36087, CVE-2020-35448, CVE-2021-42343, CVE-2021-20231, CVE-2021-3733, CVE-2020-9488, CVE-2021-3778, CVE-2021-25214, CVE-2021-3572, CVE-2019-17195, CVE-2021-41182, CVE-2021-35564, CVE-2020-27824, CVE-2021-41183, CVE-2018-2627, CVE-2019-19603, CVE-2018-5785, CVE-2021-36086, CVE-2020-15389, CVE-2020-18442, CVE-2021-3426, CVE-2021-41617, CVE-2021-23336, CVE-2021-33560, CVE-2021-35516, CVE-2021-35515, CVE-2021-31535, CVE-2021-33930, CVE-2021-35603, CVE-2021-3575, CVE-2020-27814, CVE-2018-20673, CVE-2018-20845, CVE-2020-24370, CVE-2021-22876, CVE-2019-18218, CVE-2018-6594, CVE-2021-3272, CVE-2021-20232, CVE-2021-42574, CVE-2018-20847, CVE-2020-10001, CVE-2021-20284, CVE-2020-14155, CVE-2021-37137, CVE-2020-27843, CVE-2019-17594, CVE-2021-22923, CVE-2021-37136

Refresh 3 of Cloud Pak for Data Version 4.0

A new version of Watson Machine Learning was released in November 2021.

Operand version: 4.0.3

New features

The 4.0.3 release of Watson Machine Learning includes the following features and updates:

Several technical preview features are now fully supported

The following features were previously available as technical previews. Starting in Refresh 3 of Version 4.0, these features are now fully supported:

AutoAI experiments with joined data

Joining multiple data sources to create a single data source for training AutoAI experiments is now fully supported. For details, see Joining data sources.

Federated Learning experiments

Federated learning is now fully supported for training machine learning models that use remote data that is never shared or joined. For details, see Federated Learning.

New data sources for training AutoAI experiment

You can now access tables from a Snowflake database or use Microsoft Excel files stored in a COS bucket as data sources for training an AutoAI experiment. For details, see AutoAI overview.

Restrict federated learning parties with an Allow list

Create a list of authorized IP addresses to exercise greater control over a federated learning experiment. For details, see Creating a Remote Training System.

Protect sensitive data when you export and import

Assign a password to assets that you export from a space and require the password to import the assets into a space to maintain stricter security. For details, see Exporting a deployment space.

Update an asset in a space with a new software specification

You can now update the software specification that is associated with an asset without recreating the asset. For details, see Updating a deployment.

Security fixes

This release includes fixes for the following security issues:

CVE-2021-36090, CVE-2020-26160, CVE-2021-29425, CVE-2008-1191, CVE-2021-33910, CVE-2021-37675, CVE-2021-37683, CVE-2021-37653, CVE-2020-35653, CVE-2021-37678, CVE-2021-37635, CVE-2021-25291, CVE-2021-37658, CVE-2020-7774, CVE-2021-37646, CVE-2021-25290, CVE-2008-3105, CVE-2008-5347, CVE-2021-28676, CVE-2008-5358, CVE-2021-23362, CVE-2021-37661, CVE-2021-37662, CVE-2021-37685, CVE-2021-37664, CVE-2021-37676, CVE-2021-37655, CVE-2021-37688, CVE-2021-33928, CVE-2021-22924, CVE-2021-37684, CVE-2007-3716, CVE-2021-37672, CVE-2019-17571, CVE-2021-36222, CVE-2021-37643, CVE-2021-27922, CVE-2021-22923, CVE-2021-37679, CVE-2020-35491, CVE-2021-37649, CVE-2020-35492, CVE-2021-25292, CVE-2021-37674, CVE-2021-37714, CVE-2021-37666, CVE-2021-34429, CVE-2020-35490, CVE-2021-37652, CVE-2021-37687, CVE-2021-37680, CVE-2021-22922, CVE-2008-5349, CVE-2021-37654, CVE-2021-37682, CVE-2021-37640, CVE-2021-25293, CVE-2020-14039, CVE-2021-37637, CVE-2021-37665, CVE-2021-37638, CVE-2021-25289, CVE-2020-9488, CVE-2020-35654, CVE-2021-35516, CVE-2021-27923, CVE-2021-27921, CVE-2021-37686, CVE-2021-37639, CVE-2020-35655, CVE-2021-37689, CVE-2021-37669, CVE-2021-37644, CVE-2021-37656, CVE-2021-37663, CVE-2021-37659, CVE-2021-37660, CVE-2021-37691, CVE-2021-37657, CVE-2019-10172, CVE-2020-8908, CVE-2021-37677, CVE-2021-32804, CVE-2021-25287, CVE-2020-25648, CVE-2021-37681, CVE-2021-37690, CVE-2021-37667, CVE-2021-37648, CVE-2008-3106, CVE-2008-3110, CVE-2021-32803, CVE-2021-27290, CVE-2008-3109, CVE-2021-37636, CVE-2020-7754, CVE-2021-37713, CVE-2021-37647, CVE-2020-7788, CVE-2021-33938, CVE-2021-37750, CVE-2021-37701, CVE-2021-37712, CVE-2021-37650, CVE-2021-37642, CVE-2021-3807, CVE-2021-25288, CVE-2021-28678, CVE-2018-7489, CVE-2021-33930, CVE-2021-35515, CVE-2021-37641, CVE-2008-3103, CVE-2008-5352, CVE-2021-35517, CVE-2021-37673, CVE-2021-28677, CVE-2021-37645, CVE-2021-33929, CVE-2021-28675, CVE-2021-32798, CVE-2021-23343, CVE-2021-37668, CVE-2021-37670, CVE-2021-37671, CVE-2021-37651

Bug fixes

This release includes the following bug fixes:

Batch deployment jobs in air gapped environment may run faster due to a recent code enhancement that speeds up package imports using pip.

Refresh 2 of Cloud Pak for Data Version 4.0

A new version of Watson Machine Learning was released in October 2021.

Operand version: 4.0.2

This release includes the following changes:

Security fixes

This release includes fixes for the following security issues:

CVE-2021-37687, CVE-2018-1320, CVE-2021-32803, CVE-2021-37643, CVE-2021-37667, CVE-2020-9488, CVE-2021-37642, CVE-2020-10673, CVE-2021-37657, CVE-2018-8012, CVE-2021-37647, CVE-2021-37671, CVE-2021-37654, CVE-2020-13956, CVE-2019-0205, CVE-2021-2369, CVE-2021-37656, CVE-2021-37664, CVE-2021-3621, CVE-2021-37665, CVE-2021-37672, CVE-2021-29425, CVE-2021-37684, CVE-2021-37675, CVE-2021-37635, CVE-2019-0210, CVE-2017-15713, CVE-2021-37649, CVE-2021-37660, CVE-2021-33910, CVE-2021-37681, CVE-2021-37669, CVE-2021-35065, CVE-2017-3161, CVE-2021-37646, CVE-2021-27218, CVE-2017-3166, CVE-2021-37689, CVE-2021-37653, CVE-2021-37648, CVE-2020-25649, CVE-2017-9735, CVE-2021-37676, CVE-2021-37658, CVE-2021-3421, CVE-2021-37639, CVE-2021-37661, CVE-2017-3162, CVE-2021-37683, CVE-2021-37692, CVE-2021-37651, CVE-2021-32804, CVE-2021-37678, CVE-2021-37640, CVE-2021-2388, CVE-2021-37663, CVE-2021-37641, CVE-2016-5017, CVE-2021-37662, CVE-2016-6811, CVE-2021-37659, CVE-2021-37674, CVE-2021-37680, CVE-2018-10237, CVE-2021-37673, CVE-2021-37682, CVE-2021-2341, CVE-2019-17571, CVE-2021-37691, CVE-2021-37677, CVE-2021-37679, CVE-2020-13949, CVE-2021-37686, CVE-2021-37652, CVE-2021-37655, CVE-2017-5637, CVE-2018-11770, CVE-2021-37690, CVE-2021-37644, CVE-2021-37636, CVE-2017-18640, CVE-2021-37670, CVE-2020-28491, CVE-2018-6594, CVE-2021-37666, CVE-2021-37637, CVE-2021-37685, CVE-2020-25658, CVE-2017-15718, CVE-2021-37638, CVE-2021-37650, CVE-2019-0201, CVE-2016-5397, CVE-2021-37688, CVE-2021-37645, CVE-2020-8908, CVE-2018-11804, CVE-2021-37668,

Refresh 1 of Cloud Pak for Data Version 4.0

A new version of Watson Machine Learning was released in August 2021.

Operand version: 4.0.1

This release includes the following changes:

Security fixes

This release includes fixes for the following security issues:

CVE-2016-10228, CVE-2016-5017, CVE-2016-5397, CVE-2016-6811, CVE-2017-14502, CVE-2017-15713, CVE-2017-15718, CVE-2017-3166, CVE-2017-5637, CVE-2017-9735, CVE-2018-11087, CVE-2018-1296, CVE-2018-1320, CVE-2018-20200, CVE-2018-2579, CVE-2018-2581, CVE-2018-2582, CVE-2018-2588, CVE-2018-2599, CVE-2018-2602, CVE-2018-2603, CVE-2018-2618, CVE-2018-2627, CVE-2018-2629, CVE-2018-2633, CVE-2018-2634, CVE-2018-2637, CVE-2018-2638, CVE-2018-2639, CVE-2018-2641, CVE-2018-2663, CVE-2018-2677, CVE-2018-2678, CVE-2018-2783, CVE-2018-8012, CVE-2018-8029, CVE-2019-0201, CVE-2019-0205, CVE-2019-0210, CVE-2019-10129, CVE-2019-10130, CVE-2019-10164, CVE-2019-10208, CVE-2019-10209, CVE-2019-13012, CVE-2019-16869, CVE-2019-18276, CVE-2019-20444, CVE-2019-20445, CVE-2019-25013, CVE-2019-2708, CVE-2019-3842, CVE-2019-9169, CVE-2019-9193, CVE-2020-10673, CVE-2020-10733, CVE-2020-13434, CVE-2020-13543, CVE-2020-13584, CVE-2020-13776, CVE-2020-13949, CVE-2020-13956, CVE-2020-14330, CVE-2020-14343, CVE-2020-14349, CVE-2020-14350, CVE-2020-15358, CVE-2020-1720, CVE-2020-24977, CVE-2020-25694, CVE-2020-25695, CVE-2020-25696, CVE-2020-26116, CVE-2020-26137, CVE-2020-26215, CVE-2020-26266, CVE-2020-26268, CVE-2020-26270, CVE-2020-26271, CVE-2020-27218, CVE-2020-27223, CVE-2020-27618, CVE-2020-27619, CVE-2020-27783, CVE-2020-28196, CVE-2020-28493, CVE-2020-29361, CVE-2020-29362, CVE-2020-29363, CVE-2020-35653, CVE-2020-35654, CVE-2020-35655, CVE-2020-36242, CVE-2020-8231, CVE-2020-8284, CVE-2020-8285, CVE-2020-8286, CVE-2020-8927, CVE-2020-9492, CVE-2020-9948, CVE-2020-9951, CVE-2020-9983, CVE-2021-20178, CVE-2021-20191, CVE-2021-20271, CVE-2021-20305, CVE-2021-22918, CVE-2021-23336, CVE-2021-23362, CVE-2021-25287, CVE-2021-25288, CVE-2021-25289, CVE-2021-25290, CVE-2021-25291, CVE-2021-25292, CVE-2021-25293, CVE-2021-27219, CVE-2021-27290, CVE-2021-27921, CVE-2021-27922, CVE-2021-27923, CVE-2021-28163, CVE-2021-28363, CVE-2021-28675, CVE-2021-28676, CVE-2021-28677, CVE-2021-28678, CVE-2021-28957, CVE-2021-29425, CVE-2021-29512, CVE-2021-29515, CVE-2021-29516, CVE-2021-29517, CVE-2021-29518, CVE-2021-29519, CVE-2021-29520, CVE-2021-29521, CVE-2021-29522, CVE-2021-29523, CVE-2021-29524, CVE-2021-29525, CVE-2021-29526, CVE-2021-29527, CVE-2021-29528, CVE-2021-29529, CVE-2021-29530, CVE-2021-29531, CVE-2021-29541, CVE-2021-29542, CVE-2021-29548, CVE-2021-29553, CVE-2021-29554, CVE-2021-29555, CVE-2021-29557, CVE-2021-29559, CVE-2021-29561, CVE-2021-29562, CVE-2021-29564, CVE-2021-29565, CVE-2021-29567, CVE-2021-29569, CVE-2021-29570, CVE-2021-29572, CVE-2021-29573, CVE-2021-29574, CVE-2021-29575, CVE-2021-29576, CVE-2021-29577, CVE-2021-29578, CVE-2021-29579, CVE-2021-29580, CVE-2021-29581, CVE-2021-29582, CVE-2021-29584, CVE-2021-29586, CVE-2021-29588, CVE-2021-29590, CVE-2021-29591, CVE-2021-29592, CVE-2021-29593, CVE-2021-29594, CVE-2021-29596, CVE-2021-29597, CVE-2021-29598, CVE-2021-29599, CVE-2021-29600, CVE-2021-29601, CVE-2021-29602, CVE-2021-29603, CVE-2021-29604, CVE-2021-29605, CVE-2021-29606, CVE-2021-29607, CVE-2021-29609, CVE-2021-29611, CVE-2021-29612, CVE-2021-29613, CVE-2021-29614, CVE-2021-29615, CVE-2021-29619, CVE-2021-3177, CVE-2021-32027, CVE-2021-33203, CVE-2021-3326, CVE-2021-33503, CVE-2021-33571, CVE-2021-3393, CVE-2021-34428, CVE-2021-3449, CVE-2021-3450, CVE-2021-35042, CVE-2021-3516, CVE-2021-3517, CVE-2021-3518, CVE-2021-3520, CVE-2021-3537, CVE-2021-3541, CVE-2021-3572

Initial release of Watson Machine Learning Version 4.0.0

A new version of Watson Machine Learning was released as part of Cloud Pak for Data Version 4.0.0.

Operand version: 4.0.0

This release includes the following changes:

New features

Version 4.0.0 of the Watson Machine Learning service includes the following features and updates:

Use groups to manage deployment space collaborators

You can now add a user group as a collaborator in an deployment space. All users in the group have the role that you assign to the group. For details, see Collaborator permissions for spaces.

New permission required to create deployment spaces

To create a deployment space, users must have the Manage deployment spaces or Create deployment spaces permission. Restricting who can create deployment spaces gives you more control over resource on the cluster.

By default, these permissions are only associated with the Administrator role. For details, see Predefined roles and permissions

If you are upgrading from Cloud Pak for Data Version 3.5, your existing users will not have permission to create deployment spaces unless they have the Administrator role.

To give users one of these permissions, you can edit an existing role or create a new role. For details, see Managing roles.

New permissions for managing deployment spaces

Cloud Pak for Data includes new permissions that give you more control over deployment spaces:

Manage deployment spaces permission

Users with the Manage deployment spaces permission can:

• Create deployment spaces
• View list of all deployment spaces
• Join any deployment space as an Admin
• View deployment activity across all spaces

Monitor deployment activity permission

Users with the Monitor deployment activity permission can:

• View list of all deployment spaces
• View deployment activity across all spaces

For details, see Collaboration permissions.

Use a connection asset to secure credentials

Previously, when you accessed connected data as an input to a deployment, you had to enter authentication credentials with every connection attempt. Now, you can use the connection_asset type to refer to the data source connection by its ID. This method improves security by eliminating the need to enter authentication details multiple times. For details, see Batch deployment details.

Support for additional frameworks

Watson Machine Learning includes support for an expanded set of popular frameworks and software specifications for building and deploying machine learning models.

AutoAI training enhancements

Now you can train AutoAI experiments with:

An expanded list of data sources

AutoAI experiments now support an expanded set of data sources.

Joined data sets

Tech preview You can optionally combine multiple data sources that share a common column (key) and use that data to train AutoAI experiments. For details, see Building an AutoAI experiment with joined data.

AutoAI time series experiments

Tech preview Use AutoAI time series experiments to predict future activity based on history, sequential data. For details, see Creating a time series experiment.

Save AutoAI experiment code to a notebook

You can save all of the AutoAI experiment code to a notebook, where you can review all of the transformations and feature engineering that was used to create the model pipelines. For details, see, Saving an AutoAI generated notebook.

Manage the lifecycle of models with the cpdctl CLI

You can use the cpdctl command-line interface (CLI) to manage lifecycle of a model in Cloud Pak for Data. The cpdctl CLI helps you automate the end-to-end flow, from creating projects, to training models, to creating deployment jobs. For details, see Managing AI lifecycle with cpdctl.

Support for additional data sources for SPSS® models

Watson Machine Learning supports additional input data sources for deploying an SPSS model. For details, see Batch deployment details.

Centralized job management

Simplify your DevOps process by promoting notebooks to deployment spaces, which give you a centralized place to manage jobs. For details, see Deployment spaces.

Federated Learning

Tech preview Federated Learning provides new ways for you to tune your experiments, including support for:

• A party threshold metric (quorum)
• Terminating an experiment when experiment accuracy thresholds are not met

For details, see Federated learning.

New authentication method

Watson Machine Learning supports an additional authentication method for Cloud Pak for Data environments that use the IBM Cloud Pak® foundational services Identity and Access Management Service (IAM Service) to authenticate. For details, see Authentication.