Adding automl

auto_ml_test.py

@@ -0,0 +1,42 @@
+import os
+os.environ['WHYLOGS_NO_ANALYTICS']='True'
+
+from deepchecks.tabular.suites import full_suite
+from evidently.metric_preset import (
+    DataDriftPreset, DataQualityPreset, TargetDriftPreset, RegressionPreset, ClassificationPreset
+)
+
+from evidently.report import Report
+from evidently.test_preset import (
+    DataStabilityTestPreset, DataQualityTestPreset, 
+    BinaryClassificationTestPreset, BinaryClassificationTopKTestPreset,
+    DataDriftTestPreset, MulticlassClassificationTestPreset, 
+    RegressionTestPreset
+)
+
+from evidently.test_suite import TestSuite
+from sklearn.datasets import load_iris
+from sklearn.linear_model import LogisticRegression
+from sklearn.model_selection import train_test_split
+import whylogs as why
+from whylogs.viz import NotebookProfileVisualizer
+
+from ydata_profiling import ProfileReport
+
+from pycaret.classification import *
+
+def main():
+    # load dataset
+    from pycaret.datasets import get_data
+    diabetes = get_data('diabetes')
+
+    clf1 = setup(data = diabetes, target = 'Class variable')
+
+    # creating a model
+    lr = create_model('lr')
+
+    plot_model(lr, plot = 'auc', save = True)
+
+
+if __name__ == "__main__":
+    main()