diff --git a/v1/python-sdk/tutorials/automl-with-azureml/classification-text-dnn/infer.py b/v1/python-sdk/tutorials/automl-with-azureml/classification-text-dnn/infer.py index 4d926d0b26..98525f88d8 100644 --- a/v1/python-sdk/tutorials/automl-with-azureml/classification-text-dnn/infer.py +++ b/v1/python-sdk/tutorials/automl-with-azureml/classification-text-dnn/infer.py @@ -3,7 +3,7 @@ import pandas as pd import numpy as np -from sklearn.externals import joblib +import joblib from azureml.automl.runtime.shared.score import scoring, constants from azureml.core import Run, Dataset diff --git a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-bike-share/forecasting_script.py b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-bike-share/forecasting_script.py index 6988dd2689..6f0b1194ae 100644 --- a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-bike-share/forecasting_script.py +++ b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-bike-share/forecasting_script.py @@ -1,6 +1,6 @@ import argparse from azureml.core import Dataset, Run -from sklearn.externals import joblib +import joblib parser = argparse.ArgumentParser() parser.add_argument( diff --git a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-many-models/scripts/inference_script_naive.py b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-many-models/scripts/inference_script_naive.py index 7297955e36..8b337a61b8 100644 --- a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-many-models/scripts/inference_script_naive.py +++ b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-many-models/scripts/inference_script_naive.py @@ -7,7 +7,7 @@ import os import argparse from azureml.core import Dataset, Run -from sklearn.externals import joblib +import joblib from pandas.tseries.frequencies import to_offset try: diff --git a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-tcn/scripts/inference_script_naive.py b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-tcn/scripts/inference_script_naive.py index fb30a77195..59eced0ea3 100644 --- a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-tcn/scripts/inference_script_naive.py +++ b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-tcn/scripts/inference_script_naive.py @@ -7,7 +7,7 @@ import os import argparse from azureml.core import Dataset, Run -from sklearn.externals import joblib +import joblib from pandas.tseries.frequencies import to_offset try: diff --git a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-tcn/scripts/inference_script_tcn.py b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-tcn/scripts/inference_script_tcn.py index 42d8a6c21d..8c0616845a 100644 --- a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-tcn/scripts/inference_script_tcn.py +++ b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-demand-forecasting-tcn/scripts/inference_script_tcn.py @@ -12,7 +12,7 @@ import pandas as pd from pandas.tseries.frequencies import to_offset -from sklearn.externals import joblib +import joblib from sklearn.metrics import mean_absolute_error, mean_squared_error from azureml.data.dataset_factory import TabularDatasetFactory diff --git a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-energy-demand/forecasting_script.py b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-energy-demand/forecasting_script.py index 40724de54c..01c831b4c5 100644 --- a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-energy-demand/forecasting_script.py +++ b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-energy-demand/forecasting_script.py @@ -6,7 +6,7 @@ import argparse from azureml.core import Dataset, Run -from sklearn.externals import joblib +import joblib from pandas.tseries.frequencies import to_offset parser = argparse.ArgumentParser() diff --git a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-github-dau/infer.py b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-github-dau/infer.py index d351380d21..70505ba185 100644 --- a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-github-dau/infer.py +++ b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-github-dau/infer.py @@ -4,7 +4,7 @@ import numpy as np import pandas as pd -from sklearn.externals import joblib +import joblib from sklearn.metrics import mean_absolute_error, mean_squared_error from azureml.automl.runtime.shared.score import scoring, constants diff --git a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-orange-juice-sales/forecasting_script.py b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-orange-juice-sales/forecasting_script.py index 40724de54c..01c831b4c5 100644 --- a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-orange-juice-sales/forecasting_script.py +++ b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-orange-juice-sales/forecasting_script.py @@ -6,7 +6,7 @@ import argparse from azureml.core import Dataset, Run -from sklearn.externals import joblib +import joblib from pandas.tseries.frequencies import to_offset parser = argparse.ArgumentParser() diff --git a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-pipelines/scripts/infer.py b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-pipelines/scripts/infer.py index a900d32ffa..7ba979ce6f 100644 --- a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-pipelines/scripts/infer.py +++ b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-pipelines/scripts/infer.py @@ -6,7 +6,7 @@ import pandas as pd from pandas.tseries.frequencies import to_offset -from sklearn.externals import joblib +import joblib from sklearn.metrics import mean_absolute_error, mean_squared_error from azureml.data.dataset_factory import TabularDatasetFactory diff --git a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-recipes-univariate/forecasting_script.py b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-recipes-univariate/forecasting_script.py index ca8f2f19dc..a6506bead1 100644 --- a/v1/python-sdk/tutorials/automl-with-azureml/forecasting-recipes-univariate/forecasting_script.py +++ b/v1/python-sdk/tutorials/automl-with-azureml/forecasting-recipes-univariate/forecasting_script.py @@ -7,7 +7,7 @@ import argparse from azureml.core import Dataset, Run from azureml.automl.core.shared.constants import TimeSeriesInternal -from sklearn.externals import joblib +import joblib parser = argparse.ArgumentParser() parser.add_argument(