Skip to content

Commit c7a8eb0

Browse files
committed
Minor edits
1 parent 60f9dd8 commit c7a8eb0

File tree

2 files changed

+2
-4
lines changed

2 files changed

+2
-4
lines changed

articles/synapse-analytics/machine-learning/synapse-machine-learning-library.md

Lines changed: 1 addition & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -5,7 +5,7 @@ author: SnehaGunda
55
ms.service: synapse-analytics
66
ms.topic: conceptual
77
ms.subservice: machine-learning
8-
ms.date: 08/19/2022
8+
ms.date: 08/31/2022
99
ms.author: sngun
1010
---
1111

@@ -17,7 +17,6 @@ With SynapseML, you can build scalable and intelligent systems to solve challeng
1717

1818
SynapseML requires Scala 2.12, Spark 3.0+, and Python 3.6+.
1919

20-
2120
## Key features of SynapseML
2221

2322
### A unified API for creating, training, and scoring models
@@ -43,7 +42,6 @@ Bringing ONNX to Spark not only helps developers scale deep learning models, it
4342

4443
After building a model, it’s imperative that researchers and engineers understand its limitations and behavior before deployment. SynapseML helps developers and researchers build responsible AI systems by introducing new tools that reveal why models make certain predictions and how to improve the training dataset to eliminate biases. SynapseML dramatically speeds the process of understanding a user’s trained model by enabling developers to distribute computation across hundreds of machines. More specifically, SynapseML includes distributed implementations of Shapley Additive Explanations (SHAP) and Locally Interpretable Model-Agnostic Explanations (LIME) to explain the predictions of vision, text, and tabular models. It also includes tools such as Individual Conditional Expectation (ICE) and partial dependence analysis to recognized biased datasets.
4544

46-
4745
## Enterprise support on Azure Synapse Analytics
4846

4947
SynapseML is generally available on Azure Synapse Analytics with enterprise support. You can build large-scale machine learning pipelines using Azure Cognitive Services, LightGBM, ONNX, and other [selected SynapseML features](https://techcommunity.microsoft.com/t5/azure-synapse-analytics-blog/streamline-collaboration-and-insights-with-simplified-machine/ba-p/2924707). It even includes templates to quickly prototype distributed machine learning systems, such as visual search engines, predictive maintenance pipelines, document translation, and more.

articles/synapse-analytics/machine-learning/what-is-machine-learning.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -8,7 +8,7 @@ ms.subservice: machine-learning
88
ms.topic: overview
99
ms.reviewer: sngun, garye
1010

11-
ms.date: 08/19/2022
11+
ms.date: 08/31/2022
1212
author: nelgson
1313
ms.author: negust
1414
---

0 commit comments

Comments
 (0)