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update samples from Release-92 as a part of SDK release
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how-to-use-azureml/azure-synapse/Titanic.csv

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how-to-use-azureml/azure-synapse/spark_job_on_synapse_spark_pool.ipynb

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how-to-use-azureml/azure-synapse/spark_session_on_synapse_spark_pool.ipynb

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how-to-use-azureml/deployment/onnx/mnist.py

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@@ -94,6 +94,17 @@ def main():
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os.makedirs(output_dir, exist_ok=True)
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kwargs = {'num_workers': 1, 'pin_memory': True} if use_cuda else {}
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# Use Azure Open Datasets for MNIST dataset
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datasets.MNIST.resources = [
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("https://azureopendatastorage.azurefd.net/mnist/train-images-idx3-ubyte.gz",
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"f68b3c2dcbeaaa9fbdd348bbdeb94873"),
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("https://azureopendatastorage.azurefd.net/mnist/train-labels-idx1-ubyte.gz",
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"d53e105ee54ea40749a09fcbcd1e9432"),
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("https://azureopendatastorage.azurefd.net/mnist/t10k-images-idx3-ubyte.gz",
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"9fb629c4189551a2d022fa330f9573f3"),
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("https://azureopendatastorage.azurefd.net/mnist/t10k-labels-idx1-ubyte.gz",
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"ec29112dd5afa0611ce80d1b7f02629c")
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]
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train_loader = torch.utils.data.DataLoader(
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datasets.MNIST('data', train=True, download=True,
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transform=transforms.Compose([transforms.ToTensor(),

how-to-use-azureml/explain-model/azure-integration/remote-explanation/explain-model-on-amlcompute.yml

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@@ -3,7 +3,11 @@ dependencies:
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- pip:
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- azureml-sdk
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- azureml-interpret
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- interpret-community[visualization]
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- flask
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- flask-cors
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- gevent>=1.3.6
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- jinja2
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- ipython
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- matplotlib
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- azureml-dataset-runtime
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- ipywidgets

how-to-use-azureml/explain-model/azure-integration/run-history/save-retrieve-explanations-run-history.yml

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@@ -3,6 +3,10 @@ dependencies:
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- pip:
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- azureml-sdk
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- azureml-interpret
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- interpret-community[visualization]
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- flask
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- flask-cors
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- gevent>=1.3.6
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- jinja2
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- ipython
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- matplotlib
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- ipywidgets

how-to-use-azureml/explain-model/azure-integration/scoring-time/train-explain-model-locally-and-deploy.yml

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@@ -3,6 +3,10 @@ dependencies:
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- pip:
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- azureml-sdk
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- azureml-interpret
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- interpret-community[visualization]
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- flask
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- flask-cors
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- gevent>=1.3.6
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- jinja2
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- ipython
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- matplotlib
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- ipywidgets

how-to-use-azureml/explain-model/azure-integration/scoring-time/train-explain-model-on-amlcompute-and-deploy.yml

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@@ -3,7 +3,11 @@ dependencies:
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- pip:
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- azureml-sdk
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- azureml-interpret
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- interpret-community[visualization]
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- flask
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- flask-cors
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- gevent>=1.3.6
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- jinja2
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- ipython
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- matplotlib
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- azureml-dataset-runtime
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- azureml-core

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