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Posted to user@madlib.apache.org by Orhan Kislal <ok...@pivotal.io> on 2020/04/10 17:38:47 UTC
[Announce] Apache MADlib v1.17.0 released
The Apache MADlib team is pleased to announce the immediate
availability of the 1.17.0 release.
The main goals of this release are:
New features
- DL: Add optional params to madlib_keras_fit_multiple_model
(MADLIB-1397)
- DL: Fit and evaluate changes for asymmetric cluster config
(MADLIB-1393)
- DL: Make param search fit() function work with existing evaluate and
predict (MADLIB-1387)
- DL: ParamSearch: Add utility function for generating model selection
table (MADLIB-1375)
- DL: Predict changes for asymmetric cluster config (MADLIB-1394)
- DL: Preprocessor should evenly distribute data on an arbitrary number
of segments (MADLIB-1378)
- DL: Preprocessor support for asymmetric segment distribution
(MADLIB-1392)
- DL: Remove model_arch_table column from the output of
load_model_selection_table (MADLIB-1381)
- DL: Support DL predict without training on MADlib (MADLIB-1359)
- DL: Transfer learning for multi-model (MADLIB-1389)
- Kmeans: Add simple silhouette score for every point (MADLIB-1382)
- Kmeans: Select number of centroids in k-means (MADLIB-1380)
- PostgreSQL 12 support (MADLIB-1391)
Improvements:
- Assoc rules: Add option to set number of posterior in association
rules (MADLIB-1327)
- Correlation: Improve correlation and covariance memory usage with
large number of groups (MADLIB-1301)
- DL: helper function for asymmetric cluster config (MADLIB-1390)
- DL: Mini-batch preprocessor for images - performance issue
(MADLIB-1342)
- DL: Modify warm start logic for DL to handle case of missing weight
(MADLIB-1400)
- DL: Param search for multiple models on MPP architecture (MADLIB-1386)
- DL: performance improvements to fit transition function (MADLIB-1418)
- Docs: Enhance Installation Guides (MADLIB-1399)
- Graph: SSSP should not show vertices in output table that are
unreachable (MADLIB-1415)
- Knn - add zero check and output distance array (MADLIB-1370)
- LDA: Add stopping criteria on perplexity to LDA (MADLIB-1351)
- Summary: Last optional param in summary errors when NULL (MADLIB-1413)
- Summary: Summary function has dups for MFV for approximate results
(MADLIB-1412)
- SVM: Change default num_components for SVM to max(100,
2*num_features) (MADLIB-1384)
All release changes can be found here:
https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.17.0
You can download the source release and convenience binary packages
from Apache MADlib's download page here:
http://madlib.apache.org/download.html
Alternatively, you can download through an ASF mirror near you:
https://www.apache.org/dyn/closer.lua/madlib/1.17.0
----
Apache MADlib is an open-source library for scalable in-database
analytics. It provides data-parallel implementations of mathematical,
statistical and machine learning methods for structured and
unstructured data.
The MADlib mission: to foster widespread development of scalable
analytic skills, by harnessing efforts from commercial practice,
academic research, and open-source development.
We welcome your help and feedback. For more information on how to
report problems, and to get involved, visit the project website at
https://madlib.apache.org
----
Thank you, everyone, who contributed to the 1.17.0 release. We look
forward to continued community participation for the next release!
Regards,
Orhan Kislal
Re: [Announce] Apache MADlib v1.17.0 released
Posted by Peter Stahl <ps...@pivotal.io>.
Congratulations!
On Fri, Apr 10, 2020 at 11:26 AM Nikhil Kak <nk...@pivotal.io> wrote:
> Great work team. Thank you Orhan once again for volunteering to be the
> release manager.
>
> On Fri, Apr 10, 2020 at 11:21 AM Frank McQuillan <fm...@pivotal.io>
> wrote:
>
>> Thank you Orhan!
>>
>>
>>
>> On Fri, Apr 10, 2020 at 10:39 AM Orhan Kislal <ok...@pivotal.io> wrote:
>>
>>> The Apache MADlib team is pleased to announce the immediate
>>> availability of the 1.17.0 release.
>>>
>>> The main goals of this release are:
>>>
>>> New features
>>> - DL: Add optional params to madlib_keras_fit_multiple_model
>>> (MADLIB-1397)
>>> - DL: Fit and evaluate changes for asymmetric cluster config
>>> (MADLIB-1393)
>>> - DL: Make param search fit() function work with existing evaluate
>>> and
>>> predict (MADLIB-1387)
>>> - DL: ParamSearch: Add utility function for generating model
>>> selection
>>> table (MADLIB-1375)
>>> - DL: Predict changes for asymmetric cluster config (MADLIB-1394)
>>> - DL: Preprocessor should evenly distribute data on an arbitrary
>>> number
>>> of segments (MADLIB-1378)
>>> - DL: Preprocessor support for asymmetric segment distribution
>>> (MADLIB-1392)
>>> - DL: Remove model_arch_table column from the output of
>>> load_model_selection_table (MADLIB-1381)
>>> - DL: Support DL predict without training on MADlib (MADLIB-1359)
>>> - DL: Transfer learning for multi-model (MADLIB-1389)
>>> - Kmeans: Add simple silhouette score for every point (MADLIB-1382)
>>> - Kmeans: Select number of centroids in k-means (MADLIB-1380)
>>> - PostgreSQL 12 support (MADLIB-1391)
>>>
>>> Improvements:
>>> - Assoc rules: Add option to set number of posterior in association
>>> rules (MADLIB-1327)
>>> - Correlation: Improve correlation and covariance memory usage with
>>> large number of groups (MADLIB-1301)
>>> - DL: helper function for asymmetric cluster config (MADLIB-1390)
>>> - DL: Mini-batch preprocessor for images - performance issue
>>> (MADLIB-1342)
>>> - DL: Modify warm start logic for DL to handle case of missing weight
>>> (MADLIB-1400)
>>> - DL: Param search for multiple models on MPP architecture
>>> (MADLIB-1386)
>>> - DL: performance improvements to fit transition function
>>> (MADLIB-1418)
>>> - Docs: Enhance Installation Guides (MADLIB-1399)
>>> - Graph: SSSP should not show vertices in output table that are
>>> unreachable (MADLIB-1415)
>>> - Knn - add zero check and output distance array (MADLIB-1370)
>>> - LDA: Add stopping criteria on perplexity to LDA (MADLIB-1351)
>>> - Summary: Last optional param in summary errors when NULL
>>> (MADLIB-1413)
>>> - Summary: Summary function has dups for MFV for approximate results
>>> (MADLIB-1412)
>>> - SVM: Change default num_components for SVM to max(100,
>>> 2*num_features) (MADLIB-1384)
>>>
>>> All release changes can be found here:
>>>
>>> https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.17.0
>>>
>>> You can download the source release and convenience binary packages
>>> from Apache MADlib's download page here:
>>>
>>> http://madlib.apache.org/download.html
>>>
>>> Alternatively, you can download through an ASF mirror near you:
>>>
>>> https://www.apache.org/dyn/closer.lua/madlib/1.17.0
>>>
>>> ----
>>>
>>> Apache MADlib is an open-source library for scalable in-database
>>> analytics. It provides data-parallel implementations of mathematical,
>>> statistical and machine learning methods for structured and
>>> unstructured data.
>>>
>>> The MADlib mission: to foster widespread development of scalable
>>> analytic skills, by harnessing efforts from commercial practice,
>>> academic research, and open-source development.
>>>
>>> We welcome your help and feedback. For more information on how to
>>> report problems, and to get involved, visit the project website at
>>> https://madlib.apache.org
>>>
>>> ----
>>>
>>> Thank you, everyone, who contributed to the 1.17.0 release. We look
>>> forward to continued community participation for the next release!
>>>
>>> Regards,
>>> Orhan Kislal
>>>
>>
>
> --
> Thanks,
> Nikhil Kak
>
Re: [Announce] Apache MADlib v1.17.0 released
Posted by Peter Stahl <ps...@pivotal.io>.
Congratulations!
On Fri, Apr 10, 2020 at 11:26 AM Nikhil Kak <nk...@pivotal.io> wrote:
> Great work team. Thank you Orhan once again for volunteering to be the
> release manager.
>
> On Fri, Apr 10, 2020 at 11:21 AM Frank McQuillan <fm...@pivotal.io>
> wrote:
>
>> Thank you Orhan!
>>
>>
>>
>> On Fri, Apr 10, 2020 at 10:39 AM Orhan Kislal <ok...@pivotal.io> wrote:
>>
>>> The Apache MADlib team is pleased to announce the immediate
>>> availability of the 1.17.0 release.
>>>
>>> The main goals of this release are:
>>>
>>> New features
>>> - DL: Add optional params to madlib_keras_fit_multiple_model
>>> (MADLIB-1397)
>>> - DL: Fit and evaluate changes for asymmetric cluster config
>>> (MADLIB-1393)
>>> - DL: Make param search fit() function work with existing evaluate
>>> and
>>> predict (MADLIB-1387)
>>> - DL: ParamSearch: Add utility function for generating model
>>> selection
>>> table (MADLIB-1375)
>>> - DL: Predict changes for asymmetric cluster config (MADLIB-1394)
>>> - DL: Preprocessor should evenly distribute data on an arbitrary
>>> number
>>> of segments (MADLIB-1378)
>>> - DL: Preprocessor support for asymmetric segment distribution
>>> (MADLIB-1392)
>>> - DL: Remove model_arch_table column from the output of
>>> load_model_selection_table (MADLIB-1381)
>>> - DL: Support DL predict without training on MADlib (MADLIB-1359)
>>> - DL: Transfer learning for multi-model (MADLIB-1389)
>>> - Kmeans: Add simple silhouette score for every point (MADLIB-1382)
>>> - Kmeans: Select number of centroids in k-means (MADLIB-1380)
>>> - PostgreSQL 12 support (MADLIB-1391)
>>>
>>> Improvements:
>>> - Assoc rules: Add option to set number of posterior in association
>>> rules (MADLIB-1327)
>>> - Correlation: Improve correlation and covariance memory usage with
>>> large number of groups (MADLIB-1301)
>>> - DL: helper function for asymmetric cluster config (MADLIB-1390)
>>> - DL: Mini-batch preprocessor for images - performance issue
>>> (MADLIB-1342)
>>> - DL: Modify warm start logic for DL to handle case of missing weight
>>> (MADLIB-1400)
>>> - DL: Param search for multiple models on MPP architecture
>>> (MADLIB-1386)
>>> - DL: performance improvements to fit transition function
>>> (MADLIB-1418)
>>> - Docs: Enhance Installation Guides (MADLIB-1399)
>>> - Graph: SSSP should not show vertices in output table that are
>>> unreachable (MADLIB-1415)
>>> - Knn - add zero check and output distance array (MADLIB-1370)
>>> - LDA: Add stopping criteria on perplexity to LDA (MADLIB-1351)
>>> - Summary: Last optional param in summary errors when NULL
>>> (MADLIB-1413)
>>> - Summary: Summary function has dups for MFV for approximate results
>>> (MADLIB-1412)
>>> - SVM: Change default num_components for SVM to max(100,
>>> 2*num_features) (MADLIB-1384)
>>>
>>> All release changes can be found here:
>>>
>>> https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.17.0
>>>
>>> You can download the source release and convenience binary packages
>>> from Apache MADlib's download page here:
>>>
>>> http://madlib.apache.org/download.html
>>>
>>> Alternatively, you can download through an ASF mirror near you:
>>>
>>> https://www.apache.org/dyn/closer.lua/madlib/1.17.0
>>>
>>> ----
>>>
>>> Apache MADlib is an open-source library for scalable in-database
>>> analytics. It provides data-parallel implementations of mathematical,
>>> statistical and machine learning methods for structured and
>>> unstructured data.
>>>
>>> The MADlib mission: to foster widespread development of scalable
>>> analytic skills, by harnessing efforts from commercial practice,
>>> academic research, and open-source development.
>>>
>>> We welcome your help and feedback. For more information on how to
>>> report problems, and to get involved, visit the project website at
>>> https://madlib.apache.org
>>>
>>> ----
>>>
>>> Thank you, everyone, who contributed to the 1.17.0 release. We look
>>> forward to continued community participation for the next release!
>>>
>>> Regards,
>>> Orhan Kislal
>>>
>>
>
> --
> Thanks,
> Nikhil Kak
>
Re: [Announce] Apache MADlib v1.17.0 released
Posted by Nikhil Kak <nk...@pivotal.io>.
Great work team. Thank you Orhan once again for volunteering to be the
release manager.
On Fri, Apr 10, 2020 at 11:21 AM Frank McQuillan <fm...@pivotal.io>
wrote:
> Thank you Orhan!
>
>
>
> On Fri, Apr 10, 2020 at 10:39 AM Orhan Kislal <ok...@pivotal.io> wrote:
>
>> The Apache MADlib team is pleased to announce the immediate
>> availability of the 1.17.0 release.
>>
>> The main goals of this release are:
>>
>> New features
>> - DL: Add optional params to madlib_keras_fit_multiple_model
>> (MADLIB-1397)
>> - DL: Fit and evaluate changes for asymmetric cluster config
>> (MADLIB-1393)
>> - DL: Make param search fit() function work with existing evaluate and
>> predict (MADLIB-1387)
>> - DL: ParamSearch: Add utility function for generating model selection
>> table (MADLIB-1375)
>> - DL: Predict changes for asymmetric cluster config (MADLIB-1394)
>> - DL: Preprocessor should evenly distribute data on an arbitrary
>> number
>> of segments (MADLIB-1378)
>> - DL: Preprocessor support for asymmetric segment distribution
>> (MADLIB-1392)
>> - DL: Remove model_arch_table column from the output of
>> load_model_selection_table (MADLIB-1381)
>> - DL: Support DL predict without training on MADlib (MADLIB-1359)
>> - DL: Transfer learning for multi-model (MADLIB-1389)
>> - Kmeans: Add simple silhouette score for every point (MADLIB-1382)
>> - Kmeans: Select number of centroids in k-means (MADLIB-1380)
>> - PostgreSQL 12 support (MADLIB-1391)
>>
>> Improvements:
>> - Assoc rules: Add option to set number of posterior in association
>> rules (MADLIB-1327)
>> - Correlation: Improve correlation and covariance memory usage with
>> large number of groups (MADLIB-1301)
>> - DL: helper function for asymmetric cluster config (MADLIB-1390)
>> - DL: Mini-batch preprocessor for images - performance issue
>> (MADLIB-1342)
>> - DL: Modify warm start logic for DL to handle case of missing weight
>> (MADLIB-1400)
>> - DL: Param search for multiple models on MPP architecture
>> (MADLIB-1386)
>> - DL: performance improvements to fit transition function
>> (MADLIB-1418)
>> - Docs: Enhance Installation Guides (MADLIB-1399)
>> - Graph: SSSP should not show vertices in output table that are
>> unreachable (MADLIB-1415)
>> - Knn - add zero check and output distance array (MADLIB-1370)
>> - LDA: Add stopping criteria on perplexity to LDA (MADLIB-1351)
>> - Summary: Last optional param in summary errors when NULL
>> (MADLIB-1413)
>> - Summary: Summary function has dups for MFV for approximate results
>> (MADLIB-1412)
>> - SVM: Change default num_components for SVM to max(100,
>> 2*num_features) (MADLIB-1384)
>>
>> All release changes can be found here:
>>
>> https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.17.0
>>
>> You can download the source release and convenience binary packages
>> from Apache MADlib's download page here:
>>
>> http://madlib.apache.org/download.html
>>
>> Alternatively, you can download through an ASF mirror near you:
>>
>> https://www.apache.org/dyn/closer.lua/madlib/1.17.0
>>
>> ----
>>
>> Apache MADlib is an open-source library for scalable in-database
>> analytics. It provides data-parallel implementations of mathematical,
>> statistical and machine learning methods for structured and
>> unstructured data.
>>
>> The MADlib mission: to foster widespread development of scalable
>> analytic skills, by harnessing efforts from commercial practice,
>> academic research, and open-source development.
>>
>> We welcome your help and feedback. For more information on how to
>> report problems, and to get involved, visit the project website at
>> https://madlib.apache.org
>>
>> ----
>>
>> Thank you, everyone, who contributed to the 1.17.0 release. We look
>> forward to continued community participation for the next release!
>>
>> Regards,
>> Orhan Kislal
>>
>
--
Thanks,
Nikhil Kak
Re: [Announce] Apache MADlib v1.17.0 released
Posted by Nikhil Kak <nk...@pivotal.io>.
Great work team. Thank you Orhan once again for volunteering to be the
release manager.
On Fri, Apr 10, 2020 at 11:21 AM Frank McQuillan <fm...@pivotal.io>
wrote:
> Thank you Orhan!
>
>
>
> On Fri, Apr 10, 2020 at 10:39 AM Orhan Kislal <ok...@pivotal.io> wrote:
>
>> The Apache MADlib team is pleased to announce the immediate
>> availability of the 1.17.0 release.
>>
>> The main goals of this release are:
>>
>> New features
>> - DL: Add optional params to madlib_keras_fit_multiple_model
>> (MADLIB-1397)
>> - DL: Fit and evaluate changes for asymmetric cluster config
>> (MADLIB-1393)
>> - DL: Make param search fit() function work with existing evaluate and
>> predict (MADLIB-1387)
>> - DL: ParamSearch: Add utility function for generating model selection
>> table (MADLIB-1375)
>> - DL: Predict changes for asymmetric cluster config (MADLIB-1394)
>> - DL: Preprocessor should evenly distribute data on an arbitrary
>> number
>> of segments (MADLIB-1378)
>> - DL: Preprocessor support for asymmetric segment distribution
>> (MADLIB-1392)
>> - DL: Remove model_arch_table column from the output of
>> load_model_selection_table (MADLIB-1381)
>> - DL: Support DL predict without training on MADlib (MADLIB-1359)
>> - DL: Transfer learning for multi-model (MADLIB-1389)
>> - Kmeans: Add simple silhouette score for every point (MADLIB-1382)
>> - Kmeans: Select number of centroids in k-means (MADLIB-1380)
>> - PostgreSQL 12 support (MADLIB-1391)
>>
>> Improvements:
>> - Assoc rules: Add option to set number of posterior in association
>> rules (MADLIB-1327)
>> - Correlation: Improve correlation and covariance memory usage with
>> large number of groups (MADLIB-1301)
>> - DL: helper function for asymmetric cluster config (MADLIB-1390)
>> - DL: Mini-batch preprocessor for images - performance issue
>> (MADLIB-1342)
>> - DL: Modify warm start logic for DL to handle case of missing weight
>> (MADLIB-1400)
>> - DL: Param search for multiple models on MPP architecture
>> (MADLIB-1386)
>> - DL: performance improvements to fit transition function
>> (MADLIB-1418)
>> - Docs: Enhance Installation Guides (MADLIB-1399)
>> - Graph: SSSP should not show vertices in output table that are
>> unreachable (MADLIB-1415)
>> - Knn - add zero check and output distance array (MADLIB-1370)
>> - LDA: Add stopping criteria on perplexity to LDA (MADLIB-1351)
>> - Summary: Last optional param in summary errors when NULL
>> (MADLIB-1413)
>> - Summary: Summary function has dups for MFV for approximate results
>> (MADLIB-1412)
>> - SVM: Change default num_components for SVM to max(100,
>> 2*num_features) (MADLIB-1384)
>>
>> All release changes can be found here:
>>
>> https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.17.0
>>
>> You can download the source release and convenience binary packages
>> from Apache MADlib's download page here:
>>
>> http://madlib.apache.org/download.html
>>
>> Alternatively, you can download through an ASF mirror near you:
>>
>> https://www.apache.org/dyn/closer.lua/madlib/1.17.0
>>
>> ----
>>
>> Apache MADlib is an open-source library for scalable in-database
>> analytics. It provides data-parallel implementations of mathematical,
>> statistical and machine learning methods for structured and
>> unstructured data.
>>
>> The MADlib mission: to foster widespread development of scalable
>> analytic skills, by harnessing efforts from commercial practice,
>> academic research, and open-source development.
>>
>> We welcome your help and feedback. For more information on how to
>> report problems, and to get involved, visit the project website at
>> https://madlib.apache.org
>>
>> ----
>>
>> Thank you, everyone, who contributed to the 1.17.0 release. We look
>> forward to continued community participation for the next release!
>>
>> Regards,
>> Orhan Kislal
>>
>
--
Thanks,
Nikhil Kak
Re: [Announce] Apache MADlib v1.17.0 released
Posted by Frank McQuillan <fm...@pivotal.io>.
Thank you Orhan!
On Fri, Apr 10, 2020 at 10:39 AM Orhan Kislal <ok...@pivotal.io> wrote:
> The Apache MADlib team is pleased to announce the immediate
> availability of the 1.17.0 release.
>
> The main goals of this release are:
>
> New features
> - DL: Add optional params to madlib_keras_fit_multiple_model
> (MADLIB-1397)
> - DL: Fit and evaluate changes for asymmetric cluster config
> (MADLIB-1393)
> - DL: Make param search fit() function work with existing evaluate and
> predict (MADLIB-1387)
> - DL: ParamSearch: Add utility function for generating model selection
> table (MADLIB-1375)
> - DL: Predict changes for asymmetric cluster config (MADLIB-1394)
> - DL: Preprocessor should evenly distribute data on an arbitrary number
> of segments (MADLIB-1378)
> - DL: Preprocessor support for asymmetric segment distribution
> (MADLIB-1392)
> - DL: Remove model_arch_table column from the output of
> load_model_selection_table (MADLIB-1381)
> - DL: Support DL predict without training on MADlib (MADLIB-1359)
> - DL: Transfer learning for multi-model (MADLIB-1389)
> - Kmeans: Add simple silhouette score for every point (MADLIB-1382)
> - Kmeans: Select number of centroids in k-means (MADLIB-1380)
> - PostgreSQL 12 support (MADLIB-1391)
>
> Improvements:
> - Assoc rules: Add option to set number of posterior in association
> rules (MADLIB-1327)
> - Correlation: Improve correlation and covariance memory usage with
> large number of groups (MADLIB-1301)
> - DL: helper function for asymmetric cluster config (MADLIB-1390)
> - DL: Mini-batch preprocessor for images - performance issue
> (MADLIB-1342)
> - DL: Modify warm start logic for DL to handle case of missing weight
> (MADLIB-1400)
> - DL: Param search for multiple models on MPP architecture
> (MADLIB-1386)
> - DL: performance improvements to fit transition function (MADLIB-1418)
> - Docs: Enhance Installation Guides (MADLIB-1399)
> - Graph: SSSP should not show vertices in output table that are
> unreachable (MADLIB-1415)
> - Knn - add zero check and output distance array (MADLIB-1370)
> - LDA: Add stopping criteria on perplexity to LDA (MADLIB-1351)
> - Summary: Last optional param in summary errors when NULL
> (MADLIB-1413)
> - Summary: Summary function has dups for MFV for approximate results
> (MADLIB-1412)
> - SVM: Change default num_components for SVM to max(100,
> 2*num_features) (MADLIB-1384)
>
> All release changes can be found here:
>
> https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.17.0
>
> You can download the source release and convenience binary packages
> from Apache MADlib's download page here:
>
> http://madlib.apache.org/download.html
>
> Alternatively, you can download through an ASF mirror near you:
>
> https://www.apache.org/dyn/closer.lua/madlib/1.17.0
>
> ----
>
> Apache MADlib is an open-source library for scalable in-database
> analytics. It provides data-parallel implementations of mathematical,
> statistical and machine learning methods for structured and
> unstructured data.
>
> The MADlib mission: to foster widespread development of scalable
> analytic skills, by harnessing efforts from commercial practice,
> academic research, and open-source development.
>
> We welcome your help and feedback. For more information on how to
> report problems, and to get involved, visit the project website at
> https://madlib.apache.org
>
> ----
>
> Thank you, everyone, who contributed to the 1.17.0 release. We look
> forward to continued community participation for the next release!
>
> Regards,
> Orhan Kislal
>
Re: [Announce] Apache MADlib v1.17.0 released
Posted by Frank McQuillan <fm...@pivotal.io>.
Thank you Orhan!
On Fri, Apr 10, 2020 at 10:39 AM Orhan Kislal <ok...@pivotal.io> wrote:
> The Apache MADlib team is pleased to announce the immediate
> availability of the 1.17.0 release.
>
> The main goals of this release are:
>
> New features
> - DL: Add optional params to madlib_keras_fit_multiple_model
> (MADLIB-1397)
> - DL: Fit and evaluate changes for asymmetric cluster config
> (MADLIB-1393)
> - DL: Make param search fit() function work with existing evaluate and
> predict (MADLIB-1387)
> - DL: ParamSearch: Add utility function for generating model selection
> table (MADLIB-1375)
> - DL: Predict changes for asymmetric cluster config (MADLIB-1394)
> - DL: Preprocessor should evenly distribute data on an arbitrary number
> of segments (MADLIB-1378)
> - DL: Preprocessor support for asymmetric segment distribution
> (MADLIB-1392)
> - DL: Remove model_arch_table column from the output of
> load_model_selection_table (MADLIB-1381)
> - DL: Support DL predict without training on MADlib (MADLIB-1359)
> - DL: Transfer learning for multi-model (MADLIB-1389)
> - Kmeans: Add simple silhouette score for every point (MADLIB-1382)
> - Kmeans: Select number of centroids in k-means (MADLIB-1380)
> - PostgreSQL 12 support (MADLIB-1391)
>
> Improvements:
> - Assoc rules: Add option to set number of posterior in association
> rules (MADLIB-1327)
> - Correlation: Improve correlation and covariance memory usage with
> large number of groups (MADLIB-1301)
> - DL: helper function for asymmetric cluster config (MADLIB-1390)
> - DL: Mini-batch preprocessor for images - performance issue
> (MADLIB-1342)
> - DL: Modify warm start logic for DL to handle case of missing weight
> (MADLIB-1400)
> - DL: Param search for multiple models on MPP architecture
> (MADLIB-1386)
> - DL: performance improvements to fit transition function (MADLIB-1418)
> - Docs: Enhance Installation Guides (MADLIB-1399)
> - Graph: SSSP should not show vertices in output table that are
> unreachable (MADLIB-1415)
> - Knn - add zero check and output distance array (MADLIB-1370)
> - LDA: Add stopping criteria on perplexity to LDA (MADLIB-1351)
> - Summary: Last optional param in summary errors when NULL
> (MADLIB-1413)
> - Summary: Summary function has dups for MFV for approximate results
> (MADLIB-1412)
> - SVM: Change default num_components for SVM to max(100,
> 2*num_features) (MADLIB-1384)
>
> All release changes can be found here:
>
> https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.17.0
>
> You can download the source release and convenience binary packages
> from Apache MADlib's download page here:
>
> http://madlib.apache.org/download.html
>
> Alternatively, you can download through an ASF mirror near you:
>
> https://www.apache.org/dyn/closer.lua/madlib/1.17.0
>
> ----
>
> Apache MADlib is an open-source library for scalable in-database
> analytics. It provides data-parallel implementations of mathematical,
> statistical and machine learning methods for structured and
> unstructured data.
>
> The MADlib mission: to foster widespread development of scalable
> analytic skills, by harnessing efforts from commercial practice,
> academic research, and open-source development.
>
> We welcome your help and feedback. For more information on how to
> report problems, and to get involved, visit the project website at
> https://madlib.apache.org
>
> ----
>
> Thank you, everyone, who contributed to the 1.17.0 release. We look
> forward to continued community participation for the next release!
>
> Regards,
> Orhan Kislal
>