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update samples from Release-146 as a part of 1.0.62 SDK release
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@@ -84,9 +84,8 @@
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"source": [
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"ws = Workspace.from_config()\n",
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"\n",
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"# Choose a name for the experiment and specify the project folder.\n",
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"# Choose a name for the experiment.\n",
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"experiment_name = 'automl-local-regression'\n",
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"project_folder = './sample_projects/automl-local-regression'\n",
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"\n",
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"experiment = Experiment(ws, experiment_name)\n",
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"\n",
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@@ -96,7 +95,6 @@
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"output['Workspace Name'] = ws.name\n",
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"output['Resource Group'] = ws.resource_group\n",
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"output['Location'] = ws.location\n",
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"output['Project Directory'] = project_folder\n",
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"output['Experiment Name'] = experiment.name\n",
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"pd.set_option('display.max_colwidth', -1)\n",
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"outputDf = pd.DataFrame(data = output, index = [''])\n",
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@@ -144,8 +142,7 @@
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"|**iterations**|Number of iterations. In each iteration AutoML trains a specific pipeline with the data.|\n",
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"|**n_cross_validations**|Number of cross validation splits.|\n",
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"|**X**|(sparse) array-like, shape = [n_samples, n_features]|\n",
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"|**y**|(sparse) array-like, shape = [n_samples, ], targets values.|\n",
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"|**path**|Relative path to the project folder. AutoML stores configuration files for the experiment under this folder. You can specify a new empty folder.|"
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"|**y**|(sparse) array-like, shape = [n_samples, ], targets values.|"
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]
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},
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{
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@@ -162,8 +159,7 @@
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" debug_log = 'automl.log',\n",
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" verbosity = logging.INFO,\n",
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" X = X_train, \n",
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" y = y_train,\n",
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" path = project_folder)"
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" y = y_train)"
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]
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},
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{
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