mirror of
https://github.com/Azure/MachineLearningNotebooks.git
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update tutorials
This commit is contained in:
@@ -66,11 +66,10 @@
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"source": [
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"source": [
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"%matplotlib inline\n",
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"%matplotlib inline\n",
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"import numpy as np\n",
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"import numpy as np\n",
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"import matplotlib\n",
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"import matplotlib.pyplot as plt\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"\n",
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"import azureml\n",
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"import azureml.core\n",
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"from azureml.core import Workspace, Run\n",
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"from azureml.core import Workspace\n",
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"\n",
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"\n",
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"# check core SDK version number\n",
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"# check core SDK version number\n",
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"print(\"Azure ML SDK Version: \", azureml.core.VERSION)"
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"print(\"Azure ML SDK Version: \", azureml.core.VERSION)"
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@@ -205,7 +204,6 @@
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"import os\n",
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"import urllib.request\n",
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"import urllib.request\n",
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"\n",
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"\n",
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"os.makedirs('./data', exist_ok = True)\n",
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"os.makedirs('./data', exist_ok = True)\n",
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@@ -354,7 +352,6 @@
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"import os\n",
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"script_folder = './sklearn-mnist'\n",
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"script_folder = './sklearn-mnist'\n",
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"os.makedirs(script_folder, exist_ok=True)"
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"os.makedirs(script_folder, exist_ok=True)"
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]
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]
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@@ -690,7 +687,7 @@
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"metadata": {
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"metadata": {
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"authors": [
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"authors": [
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{
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{
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"name": "roastala"
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"name": "haining"
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}
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}
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],
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],
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"kernelspec": {
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"kernelspec": {
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@@ -99,11 +99,9 @@
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"source": [
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"source": [
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"%matplotlib inline\n",
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"%matplotlib inline\n",
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"import numpy as np\n",
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"import numpy as np\n",
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"import matplotlib\n",
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"import matplotlib.pyplot as plt\n",
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"import matplotlib.pyplot as plt\n",
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" \n",
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" \n",
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"import azureml\n",
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"import azureml\n",
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"from azureml.core import Workspace, Run\n",
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"\n",
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"\n",
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"# display the core SDK version number\n",
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"# display the core SDK version number\n",
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"print(\"Azure ML SDK Version: \", azureml.core.VERSION)"
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"print(\"Azure ML SDK Version: \", azureml.core.VERSION)"
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@@ -129,13 +127,9 @@
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},
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"from azureml.core import Workspace\n",
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"from azureml.core.model import Model\n",
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"\n",
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"ws = Workspace.from_config()\n",
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"ws = Workspace.from_config()\n",
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"model=Model(ws, 'sklearn_mnist')\n",
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"model=Model(ws, 'sklearn_mnist')\n",
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"model.download(target_dir='.', exist_ok=True)\n",
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"model.download(target_dir='.', exist_ok=True)\n",
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"import os \n",
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"# verify the downloaded model file\n",
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"# verify the downloaded model file\n",
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"os.stat('./sklearn_mnist_model.pkl')"
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"os.stat('./sklearn_mnist_model.pkl')"
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]
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]
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@@ -521,7 +515,6 @@
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"import requests\n",
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"import requests\n",
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"import json\n",
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"\n",
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"\n",
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"# send a random row from the test set to score\n",
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"# send a random row from the test set to score\n",
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"random_index = np.random.randint(0, len(X_test)-1)\n",
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"random_index = np.random.randint(0, len(X_test)-1)\n",
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@@ -581,14 +574,14 @@
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"> * Deploy the model to ACI\n",
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"> * Deploy the model to ACI\n",
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"> * Test the deployed model\n",
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"> * Test the deployed model\n",
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" \n",
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" \n",
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"You can also try out the [Automatic algorithm selection tutorial](03.auto-train-models.ipynb) to see how Azure Machine Learning can auto-select and tune the best algorithm for your model and build that model for you."
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"You can also try out the [regression tutorial](regression-part1-data-prep.ipynb)."
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]
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]
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}
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}
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],
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],
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"metadata": {
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"metadata": {
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"authors": [
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"authors": [
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{
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{
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"name": "roastala"
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"name": "haining"
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}
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}
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],
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],
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"kernelspec": {
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"kernelspec": {
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@@ -468,7 +468,7 @@
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"> * Explored and reviewed training results\n",
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"> * Explored and reviewed training results\n",
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"> * Registered the best model\n",
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"> * Registered the best model\n",
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"\n",
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"\n",
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"[Deploy your model](02.deploy-models.ipynb) with Azure Machine Learning."
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"You can also try out the [image classification tutorial](img-classification-part1-training.ipynb)."
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]
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]
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}
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}
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],
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],
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