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Split MMLSpark into subprojects #1073

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Jun 23, 2021
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Split MMLSpark into subprojects #1073

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5 changes: 4 additions & 1 deletion .gitignore
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Expand Up @@ -47,4 +47,7 @@ node_modules/
.Rproj.user

# R output
*.Rout
*.Rout

# Misc
.bsp
2 changes: 1 addition & 1 deletion CONTRIBUTING.md
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Expand Up @@ -55,7 +55,7 @@ this process:

#### Implement documentation

- Add a [sample Jupyter notebook](notebooks/samples) that shows the intended use
- Add a [sample Jupyter notebook](notebooks/) that shows the intended use
case of your algorithm, with instructions in step-by-step manner. (The same
notebook could be used for testing the code.)
- Add in-line ScalaDoc comments to your source code, to generate the [API
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26 changes: 13 additions & 13 deletions README.md
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Expand Up @@ -60,7 +60,7 @@ PySpark](https://mmlspark.blob.core.windows.net/docs/1.0.0-rc3/pyspark/index.htm

| <img width="150" src="https://mmlspark.blob.core.windows.net/graphics/emails/isolation forest 3.svg"> |<img width="150" src="https://mmlspark.blob.core.windows.net/graphics/emails/cyberml.svg"> | <img width="150" src="https://mmlspark.blob.core.windows.net/graphics/emails/conditional_knn.svg"> |
|:--:|:--:|:--:|
| **Isolation Forest on Spark** | [**CyberML**](https://github.com/Azure/mmlspark/blob/master/notebooks/samples/CyberML%20-%20Anomalous%20Access%20Detection.ipynb) | **Conditional KNN** |
| **Isolation Forest on Spark** | [**CyberML**](https://github.com/Azure/mmlspark/blob/master/notebooks/CyberML%20-%20Anomalous%20Access%20Detection.ipynb) | **Conditional KNN** |
| Distributed Nonlinear Outlier Detection | Machine Learning Tools for Cyber Security | Scalable KNN Models with Conditional Queries |


Expand All @@ -86,29 +86,29 @@ PySpark](https://mmlspark.blob.core.windows.net/docs/1.0.0-rc3/pyspark/index.htm
- Train and evaluate a flight delay prediction system ([example 2])
- Finding anomalous data access patterns using the Access Anomalies package of CyberML ([example 11])

See our [notebooks](notebooks/samples/) for all examples.
See our [notebooks](notebooks/) for all examples.

[example 1]: notebooks/samples/Classification%20-%20Adult%20Census.ipynb "Adult Census Income Training"
[example 1]: notebooks/Classification%20-%20Adult%20Census.ipynb "Adult Census Income Training"

[example 2]: notebooks/samples/Regression%20-%20Flight%20Delays.ipynb "Regression Example with Flight Delay Dataset"
[example 2]: notebooks/Regression%20-%20Flight%20Delays.ipynb "Regression Example with Flight Delay Dataset"

[example 3]: notebooks/samples/LightGBM%20-%20Quantile%20Regression%20for%20Drug%20Discovery.ipynb "Quantile Regression with LightGBM"
[example 3]: notebooks/LightGBM%20-%20Quantile%20Regression%20for%20Drug%20Discovery.ipynb "Quantile Regression with LightGBM"

[example 4]: notebooks/samples/TextAnalytics%20-%20Amazon%20Book%20Reviews.ipynb "Amazon Book Reviews - TextFeaturizer"
[example 4]: notebooks/TextAnalytics%20-%20Amazon%20Book%20Reviews.ipynb "Amazon Book Reviews - TextFeaturizer"

[example 5]: notebooks/samples/HyperParameterTuning%20-%20Fighting%20Breast%20Cancer.ipynb "Hyperparameter Tuning with MMLSpark"
[example 5]: notebooks/HyperParameterTuning%20-%20Fighting%20Breast%20Cancer.ipynb "Hyperparameter Tuning with MMLSpark"

[example 6]: notebooks/samples/DeepLearning%20-%20CIFAR10%20Convolutional%20Network.ipynb "CIFAR10 CNTK CNN Evaluation"
[example 6]: notebooks/DeepLearning%20-%20CIFAR10%20Convolutional%20Network.ipynb "CIFAR10 CNTK CNN Evaluation"

[example 7]: notebooks/samples/OpenCV%20-%20Pipeline%20Image%20Transformations.ipynb "Pipeline Image Transformations"
[example 7]: notebooks/OpenCV%20-%20Pipeline%20Image%20Transformations.ipynb "Pipeline Image Transformations"

[example 8]: notebooks/samples/DeepLearning%20-%20BiLSTM%20Medical%20Entity%20Extraction.ipynb "Medical Entity Extraction"
[example 8]: notebooks/DeepLearning%20-%20BiLSTM%20Medical%20Entity%20Extraction.ipynb "Medical Entity Extraction"

[example 9]: notebooks/samples/DeepLearning%20-%20Flower%20Image%20Classification.ipynb "Deep Flower Classification"
[example 9]: notebooks/DeepLearning%20-%20Flower%20Image%20Classification.ipynb "Deep Flower Classification"

[example 10]: notebooks/gpu/DeepLearning%20-%20Distributed%20CNTK%20training.ipynb "CIFAR10 CNTK CNN Training"

[example 11]: notebooks/samples/CyberML%20-%20Anomalous%20Access%20Detection.ipynb "Access Anomalies documenation, training and evaluation example"
[example 11]: notebooks/CyberML%20-%20Anomalous%20Access%20Detection.ipynb "Access Anomalies documenation, training and evaluation example"

## A short example

Expand All @@ -127,7 +127,7 @@ scoredImages = cntkModel.transform(imagesWithLabels)
...
```

See [other sample notebooks](notebooks/samples/) as well as the MMLSpark
See [other sample notebooks](notebooks/) as well as the MMLSpark
documentation for [Scala](http://mmlspark.azureedge.net/docs/scala/) and
[PySpark](http://mmlspark.azureedge.net/docs/pyspark/).

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