fix evidently imports

Author: SkafteNicki

s8_monitoring/data_drifting.md

@@ -182,8 +182,8 @@ we can also mention [NannyML](https://github.com/NannyML/nannyml), [WhyLogs](htt
     1. Add the following code to the `data_drift.py` file to create a report on the data drift:
 
         ```python
-        from evidently.report import Report
-        from evidently.metric_preset import DataDriftPreset
+        from evidently.legacy.report import Report
+        from evidently.legacy.metric_preset import DataDriftPreset
         report = Report(metrics=[DataDriftPreset()])
         snapshot = report.run(reference_data=reference_data, current_data=current_data)
         snapshot.save_html('report.html')
@@ -202,7 +202,7 @@ we can also mention [NannyML](https://github.com/NannyML/nannyml), [WhyLogs](htt
             The `DataQualityPreset` checks the quality of the data:
 
             ```python
-            from evidently.metric_preset import DataDriftPreset, DataQualityPreset
+            from evidently.legacy.presets import DataDriftPreset, DataQualityPreset
             report = Report(metrics=[DataDriftPreset(), DataQualityPreset()])
             ```
 
@@ -217,7 +217,7 @@ we can also mention [NannyML](https://github.com/NannyML/nannyml), [WhyLogs](htt
             The `TargetDriftPreset` checks the distribution of the target values:
 
             ```python
-            from evidently.metric_preset import DataDriftPreset, DataQualityPreset, TargetDriftPreset
+            from evidently.legacy.presets import DataDriftPreset, DataQualityPreset, TargetDriftPreset
             report = Report(metrics=[DataDriftPreset(), DataQualityPreset(), TargetDriftPreset()])
             ```
 
@@ -234,8 +234,8 @@ we can also mention [NannyML](https://github.com/NannyML/nannyml), [WhyLogs](htt
         all tests passed and `False` otherwise.
 
         ```python
-        from evidently.test_suite import TestSuite
-        from evidently.tests import TestNumberOfMissingValues
+        from evidently.legacy.test_suite import TestSuite
+        from evidently.legacy.tests import TestNumberOfMissingValues
         data_test = TestSuite(tests=[TestNumberOfMissingValues()])
         data_test.run(reference_data=reference_data, current_data=current_data)
         result = data_test.as_dict()

s8_monitoring/exercise_files/data_drift.py

@@ -1,11 +1,11 @@
-from evidently.metric_preset import (
+from evidently.legacy.metric_preset import (
     DataDriftPreset,
     DataQualityPreset,
     TargetDriftPreset,
 )
-from evidently.report import Report
-from evidently.test_preset import DataStabilityTestPreset
-from evidently.test_suite import TestSuite
+from evidently.legacy.report import Report
+from evidently.legacy.test_preset import DataStabilityTestPreset
+from evidently.legacy.test_suite import TestSuite
 from sklearn import datasets
 
 iris_frame = datasets.load_iris(as_frame=True).frame

s8_monitoring/exercise_files/image_drift.py

@@ -1,7 +1,7 @@
 import numpy as np
 import pandas as pd
-from evidently.metrics import DataDriftTable
-from evidently.report import Report
+from evidently.legacy.metrics import DataDriftTable
+from evidently.legacy.report import Report
 from torchvision import datasets, transforms
 
 transform = transforms.Compose([transforms.ToTensor()])

s8_monitoring/exercise_files/iris_fastapi_solution_3.py

@@ -4,12 +4,12 @@
 
 import anyio
 import pandas as pd
-from evidently.metric_preset import (
+from evidently.legacy.metric_preset import (
     DataDriftPreset,
     DataQualityPreset,
     TargetDriftPreset,
 )
-from evidently.report import Report
+from evidently.legacy.report import Report
 from fastapi import BackgroundTasks, FastAPI
 from fastapi.responses import HTMLResponse
 from sklearn import datasets

s8_monitoring/exercise_files/sentiment_monitoring.py

@@ -5,8 +5,8 @@
 import anyio
 import nltk
 import pandas as pd
-from evidently.metric_preset import TargetDriftPreset, TextEvals
-from evidently.report import Report
+from evidently.legacy.metric_preset import TargetDriftPreset, TextEvals
+from evidently.legacy.report import Report
 from fastapi import FastAPI
 from fastapi.responses import HTMLResponse
 from google.cloud import storage

s8_monitoring/exercise_files/sentiment_monitoring_starter.py

@@ -3,8 +3,8 @@
 import anyio
 import nltk
 import pandas as pd
-from evidently.metric_preset import TargetDriftPreset, TextEvals
-from evidently.report import Report
+from evidently.legacy.metric_preset import TargetDriftPreset, TextEvals
+from evidently.legacy.report import Report
 from fastapi import FastAPI
 from fastapi.responses import HTMLResponse