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https://issues.apache.org/jira/browse/MAHOUT-479?focusedWorklogId=999571&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-999571
]
ASF GitHub Bot logged work on MAHOUT-479:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 12/Jan/26 11:20
Start Date: 12/Jan/26 11:20
Worklog Time Spent: 10m
Work Description: ryankert01 commented on code in PR #808:
URL: https://github.com/apache/mahout/pull/808#discussion_r2681833049
##########
README.md:
##########
@@ -16,66 +16,76 @@ See the License for the specific language governing
permissions and
limitations under the License.
-->
-Welcome to Apache Mahout!
-===========
-The goal of the Apache Mahout™ project is to build an environment for quickly
creating scalable, performant machine learning applications.
+# Apache Mahout
+[](https://www.apache.org/licenses/LICENSE-2.0)
+[](https://www.python.org/)
+[](https://github.com/apache/mahout/stargazers)
+[](https://github.com/apache/mahout/graphs/contributors)
+
+The goal of the Apache Mahout™ project is to build an environment for quickly
creating scalable, performant machine learning applications.\
For additional information about Mahout, visit the [Mahout Home
Page](http://mahout.apache.org/)
-
+## Qumat
-# Qumat
+<p align="center">
+ <img src="docs/assets/mascot_with_text.png" width="400" alt="Apache Mahout">
+</p>
-Qumat is a POC of a high level Python library for intefacing with multiple
quantum computing backends. It is designed to be easy to use and to abstract
the particularities of each backend, so that you may 'write once, run
anywhere.' Like the Java of quantum computing, but Java is the new COBOL so
we're trying to distance ourselves from that comparison :P
+Qumat is a high-level Python library for quantum computing that provides:
-Check out [basic gates](docs/basic_gates.md) for a quick introduction to the
basic gates. These are now supported across multiple quantum computing
frameworks, including Qiskit, Cirq, and Braket.
+- **Quantum Circuit Abstraction** - Build quantum circuits with standard gates
(Hadamard, CNOT, Pauli, etc.) and run them on Qiskit, Cirq, or Amazon Braket
with a single unified API. Write once, execute anywhere. Check out [basic
gates](docs/basic_gates.md) for a quick introduction to the basic gates
supported across all backends.
+- **QDP (Quantum Data Plane)** - Encode classical data into quantum states
using GPU-accelerated kernels. Zero-copy tensor transfer via DLPack lets you
move data between PyTorch, NumPy, and TensorFlow without overhead.
-## Getting started
+## Quick Start
Review Comment:
We can add a git clone mahout.
##########
README.md:
##########
@@ -16,66 +16,76 @@ See the License for the specific language governing
permissions and
limitations under the License.
-->
-Welcome to Apache Mahout!
-===========
-The goal of the Apache Mahout™ project is to build an environment for quickly
creating scalable, performant machine learning applications.
+# Apache Mahout
+[](https://www.apache.org/licenses/LICENSE-2.0)
+[](https://www.python.org/)
Review Comment:
We can use dynamic badge from PyPI once we are on PyPI. (dynamic version)
Issue Time Tracking
-------------------
Worklog Id: (was: 999571)
Time Spent: 20m (was: 10m)
> Streamline classification/ clustering data structures
> -----------------------------------------------------
>
> Key: MAHOUT-479
> URL: https://issues.apache.org/jira/browse/MAHOUT-479
> Project: Mahout
> Issue Type: Improvement
> Components: classic
> Affects Versions: 0.1, 0.2, 0.3, 0.4
> Reporter: Isabel Drost-Fromm
> Assignee: Isabel Drost-Fromm
> Priority: Major
> Fix For: 0.6
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> Opening this JIRA issue to collect ideas on how to streamline our
> classification and clustering algorithms to make integration for users easier
> as per mailing list thread http://markmail.org/message/pnzvrqpv5226twfs
> {quote}
> Jake and Robin and I were talking the other evening and a common lament was
> that our classification (and clustering) stuff was all over the map in terms
> of data structures. Driving that to rest and getting those comments even
> vaguely as plug and play as our much more advanced recommendation components
> would be very, very helpful.
> {quote}
> This issue probably also realates to MAHOUT-287 (intention there is to make
> naive bayes run on vectors as input).
> Ted, Jake, Robin: Would be great if someone of you could add a comment on
> some of the issues you discussed "the other evening" and (if applicable) any
> minor or major changes you think could help solve this issue.
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