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Merge pull request #429 from jeff-shepherd/master
Removed deprecated notebooks from readme
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@@ -115,15 +115,6 @@ jupyter notebook
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- Simple example of using automated ML for regression
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- Simple example of using automated ML for regression
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- Uses local compute for training
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- Uses local compute for training
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- [auto-ml-remote-execution.ipynb](remote-execution/auto-ml-remote-execution.ipynb)
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- Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
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- Example of using automated ML for classification using a remote linux DSVM for training
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- Parallel execution of iterations
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- Async tracking of progress
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- Cancelling individual iterations or entire run
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- Retrieving models for any iteration or logged metric
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- Specify automated ML settings as kwargs
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- [auto-ml-remote-amlcompute.ipynb](remote-batchai/auto-ml-remote-amlcompute.ipynb)
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- [auto-ml-remote-amlcompute.ipynb](remote-batchai/auto-ml-remote-amlcompute.ipynb)
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- Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
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- Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
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- Example of using automated ML for classification using remote AmlCompute for training
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- Example of using automated ML for classification using remote AmlCompute for training
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@@ -133,12 +124,6 @@ jupyter notebook
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- Retrieving models for any iteration or logged metric
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- Retrieving models for any iteration or logged metric
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- Specify automated ML settings as kwargs
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- Specify automated ML settings as kwargs
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- [auto-ml-remote-attach.ipynb](remote-attach/auto-ml-remote-attach.ipynb)
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- Dataset: Scikit learn's [20newsgroup](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html)
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- handling text data with preprocess flag
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- Reading data from a blob store for remote executions
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- using pandas dataframes for reading data
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- [auto-ml-missing-data-blacklist-early-termination.ipynb](missing-data-blacklist-early-termination/auto-ml-missing-data-blacklist-early-termination.ipynb)
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- [auto-ml-missing-data-blacklist-early-termination.ipynb](missing-data-blacklist-early-termination/auto-ml-missing-data-blacklist-early-termination.ipynb)
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- Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
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- Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
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- Blacklist certain pipelines
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- Blacklist certain pipelines
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@@ -156,10 +141,6 @@ jupyter notebook
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- Get details for a automated ML Run. (automated ML settings, run widget & all metrics)
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- Get details for a automated ML Run. (automated ML settings, run widget & all metrics)
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- Download fitted pipeline for any iteration
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- Download fitted pipeline for any iteration
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- [auto-ml-remote-execution-with-datastore.ipynb](remote-execution-with-datastore/auto-ml-remote-execution-with-datastore.ipynb)
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- Dataset: Scikit learn's [20newsgroup](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html)
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- Download the data and store it in DataStore.
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- [auto-ml-classification-with-deployment.ipynb](classification-with-deployment/auto-ml-classification-with-deployment.ipynb)
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- [auto-ml-classification-with-deployment.ipynb](classification-with-deployment/auto-ml-classification-with-deployment.ipynb)
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- Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
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- Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
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- Simple example of using automated ML for classification
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- Simple example of using automated ML for classification
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