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Merge pull request #429 from jeff-shepherd/master

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Removed deprecated notebooks from readme
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Roope Astala
2019-06-13 14:40:57 -04:00
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commit 64b8aa2a55
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how-to-use-azureml/automated-machine-learning/README.md
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@@ -115,15 +115,6 @@ jupyter notebook
- Simple example of using automated ML for regression
- Uses local compute for training
- [auto-ml-remote-execution.ipynb](remote-execution/auto-ml-remote-execution.ipynb)
- Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
- Example of using automated ML for classification using a remote linux DSVM for training
- Parallel execution of iterations
- Async tracking of progress
- Cancelling individual iterations or entire run
- Retrieving models for any iteration or logged metric
- Specify automated ML settings as kwargs
- [auto-ml-remote-amlcompute.ipynb](remote-batchai/auto-ml-remote-amlcompute.ipynb)
- Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
- Example of using automated ML for classification using remote AmlCompute for training
@@ -133,12 +124,6 @@ jupyter notebook
- Retrieving models for any iteration or logged metric
- Specify automated ML settings as kwargs
- [auto-ml-remote-attach.ipynb](remote-attach/auto-ml-remote-attach.ipynb)
- Dataset: Scikit learn's [20newsgroup](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html)
- handling text data with preprocess flag
- Reading data from a blob store for remote executions
- using pandas dataframes for reading data
- [auto-ml-missing-data-blacklist-early-termination.ipynb](missing-data-blacklist-early-termination/auto-ml-missing-data-blacklist-early-termination.ipynb)
- Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
- Blacklist certain pipelines
@@ -156,10 +141,6 @@ jupyter notebook
- Get details for a automated ML Run. (automated ML settings, run widget & all metrics)
- Download fitted pipeline for any iteration
- [auto-ml-remote-execution-with-datastore.ipynb](remote-execution-with-datastore/auto-ml-remote-execution-with-datastore.ipynb)
- Dataset: Scikit learn's [20newsgroup](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html)
- Download the data and store it in DataStore.
- [auto-ml-classification-with-deployment.ipynb](classification-with-deployment/auto-ml-classification-with-deployment.ipynb)
- Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
- Simple example of using automated ML for classification