Hi Arnab,

We do not seem to have algorithms documentation.
For example an equivalent of this[1] page.

Ignore this message, if it exists already.

[1]  http://systemds.apache.org/docs/1.2.0/algorithms-reference.html

Thank you,
Janardhan

On Fri, Sep 25, 2020 at 3:53 PM arnab phani <phaniar...@gmail.com> wrote:

> Hi All,
>
> Thanks for fixing the remaining issues.
> I will cut the first release candidates later in the afternoon (CET zone)
> today.
>
> Regards,
> Arnab..
>
> On Tue, Sep 22, 2020 at 2:53 PM arnab phani <phaniar...@gmail.com> wrote:
>
> > Hi All,
> >
> > Thanks for fixing the bugs.
> > A few tasks/bugs (see below) are still being worked on and hopefully will
> > be closed in a couple of days.
> > And we should be all ready to distribute the release candidates by the
> end
> > of this week.
> >
> > - python tutorials,
> > - failing gpu tests,
> > - error in loading native BLAS.
> >
> > Regards,
> > Arnab..
> >
> > On Thu, Sep 10, 2020 at 11:24 AM arnab phani <phaniar...@gmail.com>
> wrote:
> >
> >> Thank you all for the notes.
> >> Please find the consolidated release notes below, and please let me know
> >> if anything major is missing.
> >>
> >> *Release notes for SystemDS 2.0.*
> >>
> >> SystemDS 2.0 is the first major release under the new name. This release
> >> contains a major refactoring, a few major features, a large number of
> >> improvements and fixes, and some experimental features to better support
> >> the end-to-end data science lifecycle. In addition to that, this release
> >> also removes several features that are not up to the mark and outdated.
> >>
> >> The major changes (compared to SystemML 1.2) include
> >>
> >>
> >>    - New mechanism for DML-bodied (script-level) builtin functions, and
> >>    a wealth of new built-in functions for data preprocessing including
> data
> >>    cleaning, augmentation and feature engineering techniques, new ML
> >>    algorithms, and model debugging.
> >>    - Several methods for data cleaning have been implemented including
> >>    multiple imputations with multivariate imputation by chained
> equations
> >>    (MICE) and other techniques, SMOTE, an oversampling technique for
> class
> >>    imbalance, forward and backward NA filling, cleaning using schema and
> >>    length information, support for outlier detection using standard
> deviation
> >>    and inter-quartile range, and functional dependency discovery.
> >>    - A complete framework for lineage tracing and reuse including
> >>    support for loop deduplication, full and partial reuse, compiler
> assisted
> >>    reuse, several new rewrites to facilitate reuse.
> >>    - New federated runtime backend including support for federated
> >>    matrices and frames, federated builtins (transform-encode, decode
> etc.).
> >>    - Refactor compression package and add functionalities including
> >>    quantization for lossy compression, binary cell operations, left
> matrix
> >>    multiplication.
> >>    - New python bindings with supports for several builtins, matrix
> >>    operations, federated tensors, and lineage traces.
> >>    - Cuda implementation of cumulative aggregate operators (cumsum,
> >>    cumprod etc.)
> >>    - New model debugging technique with slice finder.
> >>    - New tensor data model (basic tensors of different value types, data
> >>    tensors with schema) [experimental]
> >>    -  Cloud deployment scripts for AWS and scripts to set up and start
> >>    federated operations.
> >>    -  Performance improvements with parallel sort, gpu cum agg, append
> >>    cbind etc.
> >>    -  Various compiler and runtime improvements including new and
> >>    improved rewrites, reduced Spark context creation, new eval
> framework, list
> >>    operations, updated native kernel libraries to name a few.
> >>    - New data reader/writer for json frames and support for sql as a
> >>    data source.
> >>    -  Miscellaneous improvements: improved documentation, better
> >>    testing, run/release scripts, improved packaging, Docker container
> for
> >>    systemds, bug fixes.
> >>    -  Removed MapReduce compiler and runtime backend, pydml parser,
> >>    Java-UDF framework, script-level debugger.
> >>
> >>
> >> Regards,
> >> Arnab.
> >>
> >>
> >> On Tue, Sep 8, 2020 at 4:10 AM Mark Dokter <mdok...@know-center.at>
> >> wrote:
> >>
> >>> On 01.09.20 11:36, arnab phani wrote:
> >>> > While I will aggregate the notes from two SystemDS releases, it will
> be
> >>> > great if you can update me with a few lines summarizing the additions
> >>> to
> >>> > your features (including the external contributions), especially
> after
> >>> > March 24, 2020 (last SystemDS release).
> >>>
> >>> Hi Arnab!
> >>>
> >>> My contributions:
> >>>
> >>> - new run script
> >>> - improve/simplify release scripts
> >>> - various release related things (improve documentation, fix license
> >>> headers, clean up pom.xml, etc)
> >>> - cuda implementation of cumulative aggregate operators (cumsum,
> >>> cumprod, etc)
> >>> - bug fixes here and there
> >>> - maintain native blas support in a working state (now also supporting
> >>> windows)
> >>> - kmeans builtin dml function
> >>> - builtins for image augmentation
> >>>
> >>> Best,
> >>> Mark
> >>>
> >>
>

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