From 5afe06f4450cd0d570fa8dbf23928846b52aac36 Mon Sep 17 00:00:00 2001
From: Harshitha Manne <141660450+darksapien23151@users.noreply.github.com>
Date: Mon, 2 Jun 2025 21:13:25 +0530
Subject: [PATCH 1/3] Logistic Regression

Logisitic Regression trained on iris dataset
---
 iris_pipeline_project/Dockerfile              |  19 ++++++++++++
 iris_pipeline_project/convert.py              |  24 +++++++++++++++
 .../model/iris_logreg/1/logreg_model.onnx     | Bin 0 -> 684 bytes
 iris_pipeline_project/model_config.json       |  10 ++++++
 iris_pipeline_project/ovmsmodel.py            |  29 ++++++++++++++++++
 iris_pipeline_project/pipeline/graph.pbtxt    |  14 +++++++++
 6 files changed, 96 insertions(+)
 create mode 100644 iris_pipeline_project/Dockerfile
 create mode 100644 iris_pipeline_project/convert.py
 create mode 100644 iris_pipeline_project/model/iris_logreg/1/logreg_model.onnx
 create mode 100644 iris_pipeline_project/model_config.json
 create mode 100644 iris_pipeline_project/ovmsmodel.py
 create mode 100644 iris_pipeline_project/pipeline/graph.pbtxt

diff --git a/iris_pipeline_project/Dockerfile b/iris_pipeline_project/Dockerfile
new file mode 100644
index 0000000000..f86035d5b3
--- /dev/null
+++ b/iris_pipeline_project/Dockerfile
@@ -0,0 +1,19 @@
+FROM openvino/model_server:latest
+
+USER root
+
+ENV LD_LIBRARY_PATH=/ovms/lib
+ENV PYTHONPATH=/ovms/lib/python
+
+RUN apt update && apt install -y python3-pip git \
+    build-essential python3-dev libatlas-base-dev
+
+RUN pip3 install --break-system-packages numpy pandas scikit-learn
+
+
+COPY pipeline/graph.pbtxt /models/iris_pipeline/
+COPY pipeline/ovmsmodel.py /models/iris_pipeline/
+COPY model/model.pkl /models/iris_pipeline/
+COPY model_config.json /model_config.json
+
+ENTRYPOINT [ "/ovms/bin/ovms" ]
diff --git a/iris_pipeline_project/convert.py b/iris_pipeline_project/convert.py
new file mode 100644
index 0000000000..e4153225c7
--- /dev/null
+++ b/iris_pipeline_project/convert.py
@@ -0,0 +1,24 @@
+from sklearn.datasets import load_iris
+from sklearn.linear_model import LogisticRegression
+from sklearn.model_selection import train_test_split
+import joblib
+import os
+import openvino as ov
+
+X, y = load_iris(return_X_y=True)
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
+
+model = LogisticRegression(max_iter=200)
+model.fit(X_train, y_train)
+
+joblib.dump(model, 'logreg_model.pkl')
+
+from skl2onnx import to_onnx
+
+onx = to_onnx(model, X_train[:1], target_opset=12)
+ov.convert_model('logreg_model.onnx')
+
+import onnx
+model = onnx.load("model/iris_logreg/1/logreg_model.onnx")
+print("Inputs:", [i.name for i in model.graph.input])
+print("Outputs:", [o.name for o in model.graph.output])
diff --git a/iris_pipeline_project/model/iris_logreg/1/logreg_model.onnx b/iris_pipeline_project/model/iris_logreg/1/logreg_model.onnx
new file mode 100644
index 0000000000000000000000000000000000000000..63837162e36b68189e330eb1f78e12ee634402fb
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literal 0
HcmV?d00001

diff --git a/iris_pipeline_project/model_config.json b/iris_pipeline_project/model_config.json
new file mode 100644
index 0000000000..aeb362dbf6
--- /dev/null
+++ b/iris_pipeline_project/model_config.json
@@ -0,0 +1,10 @@
+{
+  "custom_node_library_config_list": [],
+  "graph_config_list": [
+    {
+      "name": "iris_pipeline",
+      "base_path": "/models/iris_pipeline",
+      "graph_path": "graph.pbtxt"
+    }
+  ]
+}
diff --git a/iris_pipeline_project/ovmsmodel.py b/iris_pipeline_project/ovmsmodel.py
new file mode 100644
index 0000000000..1064a75d49
--- /dev/null
+++ b/iris_pipeline_project/ovmsmodel.py
@@ -0,0 +1,29 @@
+import pandas as pd
+import numpy as np
+import joblib
+import os
+from pyovms import Tensor
+
+class OvmsPythonModel:
+    def initialize(self, kwargs):
+        print("Initializing model")
+        model_path = os.path.join(os.path.dirname(__file__), 'model.pkl')
+        self.model = joblib.load(model_path)
+        print("Model loaded successfully.")
+
+    def execute(self, inputs):
+        print("Executing inference...")
+        input_tensor = inputs[0]
+        input_data = input_tensor.as_numpy()
+        
+        csv_data = input_data.tobytes().decode('utf-8')
+        df = pd.read_csv(pd.compat.StringIO(csv_data))
+        
+        features = df.iloc[:, :-1]  
+        preds = self.model.predict(features)
+        
+        output = Tensor.from_numpy(np.array(preds, dtype=np.int32))
+        return [output]
+
+    def finalize(self):
+        print("Finalizing model")
diff --git a/iris_pipeline_project/pipeline/graph.pbtxt b/iris_pipeline_project/pipeline/graph.pbtxt
new file mode 100644
index 0000000000..95fb668db0
--- /dev/null
+++ b/iris_pipeline_project/pipeline/graph.pbtxt
@@ -0,0 +1,14 @@
+input_stream: "inference_input"
+output_stream: "inference_output"
+
+node {
+  calculator: "InferenceCalculator"
+  input_stream: "inference_input"
+  output_stream: "inference_output"
+  options: {
+    [type.googleapis.com/openvino.CalculatorOptions] {
+      model_name: "iris_pipeline"
+      signature_name: "serving_default"
+    }
+  }
+}

From 78a812574bb2b1a8176f3440ac7586eb8cb5f919 Mon Sep 17 00:00:00 2001
From: Harshitha Manne <141660450+darksapien23151@users.noreply.github.com>
Date: Mon, 9 Jun 2025 00:27:05 +0530
Subject: [PATCH 2/3] Delete iris_pipeline_project directory

---
 iris_pipeline_project/Dockerfile              |  19 ------------
 iris_pipeline_project/convert.py              |  24 ---------------
 .../model/iris_logreg/1/logreg_model.onnx     | Bin 684 -> 0 bytes
 iris_pipeline_project/model_config.json       |  10 ------
 iris_pipeline_project/ovmsmodel.py            |  29 ------------------
 iris_pipeline_project/pipeline/graph.pbtxt    |  14 ---------
 6 files changed, 96 deletions(-)
 delete mode 100644 iris_pipeline_project/Dockerfile
 delete mode 100644 iris_pipeline_project/convert.py
 delete mode 100644 iris_pipeline_project/model/iris_logreg/1/logreg_model.onnx
 delete mode 100644 iris_pipeline_project/model_config.json
 delete mode 100644 iris_pipeline_project/ovmsmodel.py
 delete mode 100644 iris_pipeline_project/pipeline/graph.pbtxt

diff --git a/iris_pipeline_project/Dockerfile b/iris_pipeline_project/Dockerfile
deleted file mode 100644
index f86035d5b3..0000000000
--- a/iris_pipeline_project/Dockerfile
+++ /dev/null
@@ -1,19 +0,0 @@
-FROM openvino/model_server:latest
-
-USER root
-
-ENV LD_LIBRARY_PATH=/ovms/lib
-ENV PYTHONPATH=/ovms/lib/python
-
-RUN apt update && apt install -y python3-pip git \
-    build-essential python3-dev libatlas-base-dev
-
-RUN pip3 install --break-system-packages numpy pandas scikit-learn
-
-
-COPY pipeline/graph.pbtxt /models/iris_pipeline/
-COPY pipeline/ovmsmodel.py /models/iris_pipeline/
-COPY model/model.pkl /models/iris_pipeline/
-COPY model_config.json /model_config.json
-
-ENTRYPOINT [ "/ovms/bin/ovms" ]
diff --git a/iris_pipeline_project/convert.py b/iris_pipeline_project/convert.py
deleted file mode 100644
index e4153225c7..0000000000
--- a/iris_pipeline_project/convert.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from sklearn.datasets import load_iris
-from sklearn.linear_model import LogisticRegression
-from sklearn.model_selection import train_test_split
-import joblib
-import os
-import openvino as ov
-
-X, y = load_iris(return_X_y=True)
-X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
-
-model = LogisticRegression(max_iter=200)
-model.fit(X_train, y_train)
-
-joblib.dump(model, 'logreg_model.pkl')
-
-from skl2onnx import to_onnx
-
-onx = to_onnx(model, X_train[:1], target_opset=12)
-ov.convert_model('logreg_model.onnx')
-
-import onnx
-model = onnx.load("model/iris_logreg/1/logreg_model.onnx")
-print("Inputs:", [i.name for i in model.graph.input])
-print("Outputs:", [o.name for o in model.graph.output])
diff --git a/iris_pipeline_project/model/iris_logreg/1/logreg_model.onnx b/iris_pipeline_project/model/iris_logreg/1/logreg_model.onnx
deleted file mode 100644
index 63837162e36b68189e330eb1f78e12ee634402fb..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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WTe`TTihOxp1*uY8FT)h{iu@NL64dkn

diff --git a/iris_pipeline_project/model_config.json b/iris_pipeline_project/model_config.json
deleted file mode 100644
index aeb362dbf6..0000000000
--- a/iris_pipeline_project/model_config.json
+++ /dev/null
@@ -1,10 +0,0 @@
-{
-  "custom_node_library_config_list": [],
-  "graph_config_list": [
-    {
-      "name": "iris_pipeline",
-      "base_path": "/models/iris_pipeline",
-      "graph_path": "graph.pbtxt"
-    }
-  ]
-}
diff --git a/iris_pipeline_project/ovmsmodel.py b/iris_pipeline_project/ovmsmodel.py
deleted file mode 100644
index 1064a75d49..0000000000
--- a/iris_pipeline_project/ovmsmodel.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import pandas as pd
-import numpy as np
-import joblib
-import os
-from pyovms import Tensor
-
-class OvmsPythonModel:
-    def initialize(self, kwargs):
-        print("Initializing model")
-        model_path = os.path.join(os.path.dirname(__file__), 'model.pkl')
-        self.model = joblib.load(model_path)
-        print("Model loaded successfully.")
-
-    def execute(self, inputs):
-        print("Executing inference...")
-        input_tensor = inputs[0]
-        input_data = input_tensor.as_numpy()
-        
-        csv_data = input_data.tobytes().decode('utf-8')
-        df = pd.read_csv(pd.compat.StringIO(csv_data))
-        
-        features = df.iloc[:, :-1]  
-        preds = self.model.predict(features)
-        
-        output = Tensor.from_numpy(np.array(preds, dtype=np.int32))
-        return [output]
-
-    def finalize(self):
-        print("Finalizing model")
diff --git a/iris_pipeline_project/pipeline/graph.pbtxt b/iris_pipeline_project/pipeline/graph.pbtxt
deleted file mode 100644
index 95fb668db0..0000000000
--- a/iris_pipeline_project/pipeline/graph.pbtxt
+++ /dev/null
@@ -1,14 +0,0 @@
-input_stream: "inference_input"
-output_stream: "inference_output"
-
-node {
-  calculator: "InferenceCalculator"
-  input_stream: "inference_input"
-  output_stream: "inference_output"
-  options: {
-    [type.googleapis.com/openvino.CalculatorOptions] {
-      model_name: "iris_pipeline"
-      signature_name: "serving_default"
-    }
-  }
-}

From aaf49812d455cd9d2754a9c169f57937a8a9f899 Mon Sep 17 00:00:00 2001
From: Harshitha Manne <141660450+darksapien23151@users.noreply.github.com>
Date: Mon, 9 Jun 2025 00:32:03 +0530
Subject: [PATCH 3/3] Add files via upload

---
 extras/Dockerfile            |  16 ++++
 extras/data/Iris (copy).csv  | 151 +++++++++++++++++++++++++++++++++++
 extras/data/data_slit.py     |  12 +++
 extras/data/iris_test.csv    |  31 +++++++
 extras/data/iris_train.csv   | 121 ++++++++++++++++++++++++++++
 extras/model_config.json     |  10 +++
 extras/pipeline/graph.pbtxt  |  26 ++++++
 extras/pipeline/ovmsmodel.py |  43 ++++++++++
 8 files changed, 410 insertions(+)
 create mode 100644 extras/Dockerfile
 create mode 100644 extras/data/Iris (copy).csv
 create mode 100644 extras/data/data_slit.py
 create mode 100644 extras/data/iris_test.csv
 create mode 100644 extras/data/iris_train.csv
 create mode 100644 extras/model_config.json
 create mode 100644 extras/pipeline/graph.pbtxt
 create mode 100644 extras/pipeline/ovmsmodel.py

diff --git a/extras/Dockerfile b/extras/Dockerfile
new file mode 100644
index 0000000000..9028e545ff
--- /dev/null
+++ b/extras/Dockerfile
@@ -0,0 +1,16 @@
+FROM openvino/model_server:latest
+
+USER root
+
+ENV LD_LIBRARY_PATH=/ovms/lib
+ENV PYTHONPATH=/ovms/lib/python
+
+COPY model/iris_logreg /models/iris_logreg
+COPY pipeline/graph.pbtxt /models/iris_pipeline/
+COPY pipeline/ovmsmodel.py /models/iris_pipeline/
+COPY model_config.json /model_config.json
+
+RUN apt-get update && apt-get install -y python3-pip
+RUN pip3 install --break-system-packages pandas numpy scikit-learn joblib skl2onnx onnx
+
+ENTRYPOINT ["/ovms/bin/ovms", "--config_path", "/model_config.json"]
\ No newline at end of file
diff --git a/extras/data/Iris (copy).csv b/extras/data/Iris (copy).csv
new file mode 100644
index 0000000000..1bf42f2549
--- /dev/null
+++ b/extras/data/Iris (copy).csv	
@@ -0,0 +1,151 @@
+Id,SepalLengthCm,SepalWidthCm,PetalLengthCm,PetalWidthCm,Species
+1,5.1,3.5,1.4,0.2,Iris-setosa
+2,4.9,3.0,1.4,0.2,Iris-setosa
+3,4.7,3.2,1.3,0.2,Iris-setosa
+4,4.6,3.1,1.5,0.2,Iris-setosa
+5,5.0,3.6,1.4,0.2,Iris-setosa
+6,5.4,3.9,1.7,0.4,Iris-setosa
+7,4.6,3.4,1.4,0.3,Iris-setosa
+8,5.0,3.4,1.5,0.2,Iris-setosa
+9,4.4,2.9,1.4,0.2,Iris-setosa
+10,4.9,3.1,1.5,0.1,Iris-setosa
+11,5.4,3.7,1.5,0.2,Iris-setosa
+12,4.8,3.4,1.6,0.2,Iris-setosa
+13,4.8,3.0,1.4,0.1,Iris-setosa
+14,4.3,3.0,1.1,0.1,Iris-setosa
+15,5.8,4.0,1.2,0.2,Iris-setosa
+16,5.7,4.4,1.5,0.4,Iris-setosa
+17,5.4,3.9,1.3,0.4,Iris-setosa
+18,5.1,3.5,1.4,0.3,Iris-setosa
+19,5.7,3.8,1.7,0.3,Iris-setosa
+20,5.1,3.8,1.5,0.3,Iris-setosa
+21,5.4,3.4,1.7,0.2,Iris-setosa
+22,5.1,3.7,1.5,0.4,Iris-setosa
+23,4.6,3.6,1.0,0.2,Iris-setosa
+24,5.1,3.3,1.7,0.5,Iris-setosa
+25,4.8,3.4,1.9,0.2,Iris-setosa
+26,5.0,3.0,1.6,0.2,Iris-setosa
+27,5.0,3.4,1.6,0.4,Iris-setosa
+28,5.2,3.5,1.5,0.2,Iris-setosa
+29,5.2,3.4,1.4,0.2,Iris-setosa
+30,4.7,3.2,1.6,0.2,Iris-setosa
+31,4.8,3.1,1.6,0.2,Iris-setosa
+32,5.4,3.4,1.5,0.4,Iris-setosa
+33,5.2,4.1,1.5,0.1,Iris-setosa
+34,5.5,4.2,1.4,0.2,Iris-setosa
+35,4.9,3.1,1.5,0.1,Iris-setosa
+36,5.0,3.2,1.2,0.2,Iris-setosa
+37,5.5,3.5,1.3,0.2,Iris-setosa
+38,4.9,3.1,1.5,0.1,Iris-setosa
+39,4.4,3.0,1.3,0.2,Iris-setosa
+40,5.1,3.4,1.5,0.2,Iris-setosa
+41,5.0,3.5,1.3,0.3,Iris-setosa
+42,4.5,2.3,1.3,0.3,Iris-setosa
+43,4.4,3.2,1.3,0.2,Iris-setosa
+44,5.0,3.5,1.6,0.6,Iris-setosa
+45,5.1,3.8,1.9,0.4,Iris-setosa
+46,4.8,3.0,1.4,0.3,Iris-setosa
+47,5.1,3.8,1.6,0.2,Iris-setosa
+48,4.6,3.2,1.4,0.2,Iris-setosa
+49,5.3,3.7,1.5,0.2,Iris-setosa
+50,5.0,3.3,1.4,0.2,Iris-setosa
+51,7.0,3.2,4.7,1.4,Iris-versicolor
+52,6.4,3.2,4.5,1.5,Iris-versicolor
+53,6.9,3.1,4.9,1.5,Iris-versicolor
+54,5.5,2.3,4.0,1.3,Iris-versicolor
+55,6.5,2.8,4.6,1.5,Iris-versicolor
+56,5.7,2.8,4.5,1.3,Iris-versicolor
+57,6.3,3.3,4.7,1.6,Iris-versicolor
+58,4.9,2.4,3.3,1.0,Iris-versicolor
+59,6.6,2.9,4.6,1.3,Iris-versicolor
+60,5.2,2.7,3.9,1.4,Iris-versicolor
+61,5.0,2.0,3.5,1.0,Iris-versicolor
+62,5.9,3.0,4.2,1.5,Iris-versicolor
+63,6.0,2.2,4.0,1.0,Iris-versicolor
+64,6.1,2.9,4.7,1.4,Iris-versicolor
+65,5.6,2.9,3.6,1.3,Iris-versicolor
+66,6.7,3.1,4.4,1.4,Iris-versicolor
+67,5.6,3.0,4.5,1.5,Iris-versicolor
+68,5.8,2.7,4.1,1.0,Iris-versicolor
+69,6.2,2.2,4.5,1.5,Iris-versicolor
+70,5.6,2.5,3.9,1.1,Iris-versicolor
+71,5.9,3.2,4.8,1.8,Iris-versicolor
+72,6.1,2.8,4.0,1.3,Iris-versicolor
+73,6.3,2.5,4.9,1.5,Iris-versicolor
+74,6.1,2.8,4.7,1.2,Iris-versicolor
+75,6.4,2.9,4.3,1.3,Iris-versicolor
+76,6.6,3.0,4.4,1.4,Iris-versicolor
+77,6.8,2.8,4.8,1.4,Iris-versicolor
+78,6.7,3.0,5.0,1.7,Iris-versicolor
+79,6.0,2.9,4.5,1.5,Iris-versicolor
+80,5.7,2.6,3.5,1.0,Iris-versicolor
+81,5.5,2.4,3.8,1.1,Iris-versicolor
+82,5.5,2.4,3.7,1.0,Iris-versicolor
+83,5.8,2.7,3.9,1.2,Iris-versicolor
+84,6.0,2.7,5.1,1.6,Iris-versicolor
+85,5.4,3.0,4.5,1.5,Iris-versicolor
+86,6.0,3.4,4.5,1.6,Iris-versicolor
+87,6.7,3.1,4.7,1.5,Iris-versicolor
+88,6.3,2.3,4.4,1.3,Iris-versicolor
+89,5.6,3.0,4.1,1.3,Iris-versicolor
+90,5.5,2.5,4.0,1.3,Iris-versicolor
+91,5.5,2.6,4.4,1.2,Iris-versicolor
+92,6.1,3.0,4.6,1.4,Iris-versicolor
+93,5.8,2.6,4.0,1.2,Iris-versicolor
+94,5.0,2.3,3.3,1.0,Iris-versicolor
+95,5.6,2.7,4.2,1.3,Iris-versicolor
+96,5.7,3.0,4.2,1.2,Iris-versicolor
+97,5.7,2.9,4.2,1.3,Iris-versicolor
+98,6.2,2.9,4.3,1.3,Iris-versicolor
+99,5.1,2.5,3.0,1.1,Iris-versicolor
+100,5.7,2.8,4.1,1.3,Iris-versicolor
+101,6.3,3.3,6.0,2.5,Iris-virginica
+102,5.8,2.7,5.1,1.9,Iris-virginica
+103,7.1,3.0,5.9,2.1,Iris-virginica
+104,6.3,2.9,5.6,1.8,Iris-virginica
+105,6.5,3.0,5.8,2.2,Iris-virginica
+106,7.6,3.0,6.6,2.1,Iris-virginica
+107,4.9,2.5,4.5,1.7,Iris-virginica
+108,7.3,2.9,6.3,1.8,Iris-virginica
+109,6.7,2.5,5.8,1.8,Iris-virginica
+110,7.2,3.6,6.1,2.5,Iris-virginica
+111,6.5,3.2,5.1,2.0,Iris-virginica
+112,6.4,2.7,5.3,1.9,Iris-virginica
+113,6.8,3.0,5.5,2.1,Iris-virginica
+114,5.7,2.5,5.0,2.0,Iris-virginica
+115,5.8,2.8,5.1,2.4,Iris-virginica
+116,6.4,3.2,5.3,2.3,Iris-virginica
+117,6.5,3.0,5.5,1.8,Iris-virginica
+118,7.7,3.8,6.7,2.2,Iris-virginica
+119,7.7,2.6,6.9,2.3,Iris-virginica
+120,6.0,2.2,5.0,1.5,Iris-virginica
+121,6.9,3.2,5.7,2.3,Iris-virginica
+122,5.6,2.8,4.9,2.0,Iris-virginica
+123,7.7,2.8,6.7,2.0,Iris-virginica
+124,6.3,2.7,4.9,1.8,Iris-virginica
+125,6.7,3.3,5.7,2.1,Iris-virginica
+126,7.2,3.2,6.0,1.8,Iris-virginica
+127,6.2,2.8,4.8,1.8,Iris-virginica
+128,6.1,3.0,4.9,1.8,Iris-virginica
+129,6.4,2.8,5.6,2.1,Iris-virginica
+130,7.2,3.0,5.8,1.6,Iris-virginica
+131,7.4,2.8,6.1,1.9,Iris-virginica
+132,7.9,3.8,6.4,2.0,Iris-virginica
+133,6.4,2.8,5.6,2.2,Iris-virginica
+134,6.3,2.8,5.1,1.5,Iris-virginica
+135,6.1,2.6,5.6,1.4,Iris-virginica
+136,7.7,3.0,6.1,2.3,Iris-virginica
+137,6.3,3.4,5.6,2.4,Iris-virginica
+138,6.4,3.1,5.5,1.8,Iris-virginica
+139,6.0,3.0,4.8,1.8,Iris-virginica
+140,6.9,3.1,5.4,2.1,Iris-virginica
+141,6.7,3.1,5.6,2.4,Iris-virginica
+142,6.9,3.1,5.1,2.3,Iris-virginica
+143,5.8,2.7,5.1,1.9,Iris-virginica
+144,6.8,3.2,5.9,2.3,Iris-virginica
+145,6.7,3.3,5.7,2.5,Iris-virginica
+146,6.7,3.0,5.2,2.3,Iris-virginica
+147,6.3,2.5,5.0,1.9,Iris-virginica
+148,6.5,3.0,5.2,2.0,Iris-virginica
+149,6.2,3.4,5.4,2.3,Iris-virginica
+150,5.9,3.0,5.1,1.8,Iris-virginica
diff --git a/extras/data/data_slit.py b/extras/data/data_slit.py
new file mode 100644
index 0000000000..c645e76405
--- /dev/null
+++ b/extras/data/data_slit.py
@@ -0,0 +1,12 @@
+import pandas as pd
+from sklearn.model_selection import train_test_split
+
+# Load the complete dataset
+df = pd.read_csv('data/Iris (copy).csv')  # Update this path as needed
+
+# Split the data (80% train, 20% test by default)
+train_df, test_df = train_test_split(df, test_size=0.2, random_state=42, shuffle=True)
+
+# Save to new CSV files
+train_df.to_csv('data/iris_train.csv', index=False)
+test_df.to_csv('data/iris_test.csv', index=False)
\ No newline at end of file
diff --git a/extras/data/iris_test.csv b/extras/data/iris_test.csv
new file mode 100644
index 0000000000..c70ca719dc
--- /dev/null
+++ b/extras/data/iris_test.csv
@@ -0,0 +1,31 @@
+Id,SepalLengthCm,SepalWidthCm,PetalLengthCm,PetalWidthCm,Species
+74,6.1,2.8,4.7,1.2,Iris-versicolor
+19,5.7,3.8,1.7,0.3,Iris-setosa
+119,7.7,2.6,6.9,2.3,Iris-virginica
+79,6.0,2.9,4.5,1.5,Iris-versicolor
+77,6.8,2.8,4.8,1.4,Iris-versicolor
+32,5.4,3.4,1.5,0.4,Iris-setosa
+65,5.6,2.9,3.6,1.3,Iris-versicolor
+142,6.9,3.1,5.1,2.3,Iris-virginica
+69,6.2,2.2,4.5,1.5,Iris-versicolor
+83,5.8,2.7,3.9,1.2,Iris-versicolor
+111,6.5,3.2,5.1,2.0,Iris-virginica
+13,4.8,3.0,1.4,0.1,Iris-setosa
+37,5.5,3.5,1.3,0.2,Iris-setosa
+10,4.9,3.1,1.5,0.1,Iris-setosa
+20,5.1,3.8,1.5,0.3,Iris-setosa
+57,6.3,3.3,4.7,1.6,Iris-versicolor
+105,6.5,3.0,5.8,2.2,Iris-virginica
+70,5.6,2.5,3.9,1.1,Iris-versicolor
+56,5.7,2.8,4.5,1.3,Iris-versicolor
+133,6.4,2.8,5.6,2.2,Iris-virginica
+30,4.7,3.2,1.6,0.2,Iris-setosa
+128,6.1,3.0,4.9,1.8,Iris-virginica
+27,5.0,3.4,1.6,0.4,Iris-setosa
+129,6.4,2.8,5.6,2.1,Iris-virginica
+132,7.9,3.8,6.4,2.0,Iris-virginica
+146,6.7,3.0,5.2,2.3,Iris-virginica
+109,6.7,2.5,5.8,1.8,Iris-virginica
+144,6.8,3.2,5.9,2.3,Iris-virginica
+46,4.8,3.0,1.4,0.3,Iris-setosa
+31,4.8,3.1,1.6,0.2,Iris-setosa
diff --git a/extras/data/iris_train.csv b/extras/data/iris_train.csv
new file mode 100644
index 0000000000..0baf242fb0
--- /dev/null
+++ b/extras/data/iris_train.csv
@@ -0,0 +1,121 @@
+Id,SepalLengthCm,SepalWidthCm,PetalLengthCm,PetalWidthCm,Species
+23,4.6,3.6,1.0,0.2,Iris-setosa
+16,5.7,4.4,1.5,0.4,Iris-setosa
+66,6.7,3.1,4.4,1.4,Iris-versicolor
+12,4.8,3.4,1.6,0.2,Iris-setosa
+43,4.4,3.2,1.3,0.2,Iris-setosa
+147,6.3,2.5,5.0,1.9,Iris-virginica
+52,6.4,3.2,4.5,1.5,Iris-versicolor
+28,5.2,3.5,1.5,0.2,Iris-setosa
+5,5.0,3.6,1.4,0.2,Iris-setosa
+33,5.2,4.1,1.5,0.1,Iris-setosa
+143,5.8,2.7,5.1,1.9,Iris-virginica
+86,6.0,3.4,4.5,1.6,Iris-versicolor
+87,6.7,3.1,4.7,1.5,Iris-versicolor
+17,5.4,3.9,1.3,0.4,Iris-setosa
+11,5.4,3.7,1.5,0.2,Iris-setosa
+82,5.5,2.4,3.7,1.0,Iris-versicolor
+134,6.3,2.8,5.1,1.5,Iris-virginica
+138,6.4,3.1,5.5,1.8,Iris-virginica
+76,6.6,3.0,4.4,1.4,Iris-versicolor
+110,7.2,3.6,6.1,2.5,Iris-virginica
+97,5.7,2.9,4.2,1.3,Iris-versicolor
+106,7.6,3.0,6.6,2.1,Iris-virginica
+67,5.6,3.0,4.5,1.5,Iris-versicolor
+1,5.1,3.5,1.4,0.2,Iris-setosa
+123,7.7,2.8,6.7,2.0,Iris-virginica
+68,5.8,2.7,4.1,1.0,Iris-versicolor
+29,5.2,3.4,1.4,0.2,Iris-setosa
+41,5.0,3.5,1.3,0.3,Iris-setosa
+45,5.1,3.8,1.9,0.4,Iris-setosa
+61,5.0,2.0,3.5,1.0,Iris-versicolor
+124,6.3,2.7,4.9,1.8,Iris-virginica
+25,4.8,3.4,1.9,0.2,Iris-setosa
+26,5.0,3.0,1.6,0.2,Iris-setosa
+24,5.1,3.3,1.7,0.5,Iris-setosa
+95,5.6,2.7,4.2,1.3,Iris-versicolor
+40,5.1,3.4,1.5,0.2,Iris-setosa
+96,5.7,3.0,4.2,1.2,Iris-versicolor
+118,7.7,3.8,6.7,2.2,Iris-virginica
+48,4.6,3.2,1.4,0.2,Iris-setosa
+98,6.2,2.9,4.3,1.3,Iris-versicolor
+114,5.7,2.5,5.0,2.0,Iris-virginica
+34,5.5,4.2,1.4,0.2,Iris-setosa
+139,6.0,3.0,4.8,1.8,Iris-virginica
+102,5.8,2.7,5.1,1.9,Iris-virginica
+63,6.0,2.2,4.0,1.0,Iris-versicolor
+85,5.4,3.0,4.5,1.5,Iris-versicolor
+149,6.2,3.4,5.4,2.3,Iris-virginica
+54,5.5,2.3,4.0,1.3,Iris-versicolor
+6,5.4,3.9,1.7,0.4,Iris-setosa
+94,5.0,2.3,3.3,1.0,Iris-versicolor
+112,6.4,2.7,5.3,1.9,Iris-virginica
+50,5.0,3.3,1.4,0.2,Iris-setosa
+36,5.0,3.2,1.2,0.2,Iris-setosa
+81,5.5,2.4,3.8,1.1,Iris-versicolor
+78,6.7,3.0,5.0,1.7,Iris-versicolor
+35,4.9,3.1,1.5,0.1,Iris-setosa
+115,5.8,2.8,5.1,2.4,Iris-virginica
+8,5.0,3.4,1.5,0.2,Iris-setosa
+44,5.0,3.5,1.6,0.6,Iris-setosa
+71,5.9,3.2,4.8,1.8,Iris-versicolor
+99,5.1,2.5,3.0,1.1,Iris-versicolor
+121,6.9,3.2,5.7,2.3,Iris-virginica
+84,6.0,2.7,5.1,1.6,Iris-versicolor
+135,6.1,2.6,5.6,1.4,Iris-virginica
+136,7.7,3.0,6.1,2.3,Iris-virginica
+90,5.5,2.5,4.0,1.3,Iris-versicolor
+9,4.4,2.9,1.4,0.2,Iris-setosa
+14,4.3,3.0,1.1,0.1,Iris-setosa
+120,6.0,2.2,5.0,1.5,Iris-virginica
+126,7.2,3.2,6.0,1.8,Iris-virginica
+4,4.6,3.1,1.5,0.2,Iris-setosa
+18,5.1,3.5,1.4,0.3,Iris-setosa
+39,4.4,3.0,1.3,0.2,Iris-setosa
+73,6.3,2.5,4.9,1.5,Iris-versicolor
+137,6.3,3.4,5.6,2.4,Iris-virginica
+7,4.6,3.4,1.4,0.3,Iris-setosa
+113,6.8,3.0,5.5,2.1,Iris-virginica
+101,6.3,3.3,6.0,2.5,Iris-virginica
+3,4.7,3.2,1.3,0.2,Iris-setosa
+64,6.1,2.9,4.7,1.4,Iris-versicolor
+55,6.5,2.8,4.6,1.5,Iris-versicolor
+127,6.2,2.8,4.8,1.8,Iris-virginica
+51,7.0,3.2,4.7,1.4,Iris-versicolor
+116,6.4,3.2,5.3,2.3,Iris-virginica
+47,5.1,3.8,1.6,0.2,Iris-setosa
+140,6.9,3.1,5.4,2.1,Iris-virginica
+62,5.9,3.0,4.2,1.5,Iris-versicolor
+148,6.5,3.0,5.2,2.0,Iris-virginica
+80,5.7,2.6,3.5,1.0,Iris-versicolor
+60,5.2,2.7,3.9,1.4,Iris-versicolor
+92,6.1,3.0,4.6,1.4,Iris-versicolor
+42,4.5,2.3,1.3,0.3,Iris-setosa
+59,6.6,2.9,4.6,1.3,Iris-versicolor
+91,5.5,2.6,4.4,1.2,Iris-versicolor
+49,5.3,3.7,1.5,0.2,Iris-setosa
+89,5.6,3.0,4.1,1.3,Iris-versicolor
+108,7.3,2.9,6.3,1.8,Iris-virginica
+125,6.7,3.3,5.7,2.1,Iris-virginica
+22,5.1,3.7,1.5,0.4,Iris-setosa
+58,4.9,2.4,3.3,1.0,Iris-versicolor
+145,6.7,3.3,5.7,2.5,Iris-virginica
+130,7.2,3.0,5.8,1.6,Iris-virginica
+38,4.9,3.1,1.5,0.1,Iris-setosa
+141,6.7,3.1,5.6,2.4,Iris-virginica
+2,4.9,3.0,1.4,0.2,Iris-setosa
+53,6.9,3.1,4.9,1.5,Iris-versicolor
+131,7.4,2.8,6.1,1.9,Iris-virginica
+104,6.3,2.9,5.6,1.8,Iris-virginica
+100,5.7,2.8,4.1,1.3,Iris-versicolor
+117,6.5,3.0,5.5,1.8,Iris-virginica
+88,6.3,2.3,4.4,1.3,Iris-versicolor
+75,6.4,2.9,4.3,1.3,Iris-versicolor
+122,5.6,2.8,4.9,2.0,Iris-virginica
+150,5.9,3.0,5.1,1.8,Iris-virginica
+21,5.4,3.4,1.7,0.2,Iris-setosa
+72,6.1,2.8,4.0,1.3,Iris-versicolor
+107,4.9,2.5,4.5,1.7,Iris-virginica
+15,5.8,4.0,1.2,0.2,Iris-setosa
+93,5.8,2.6,4.0,1.2,Iris-versicolor
+103,7.1,3.0,5.9,2.1,Iris-virginica
diff --git a/extras/model_config.json b/extras/model_config.json
new file mode 100644
index 0000000000..271fd984a1
--- /dev/null
+++ b/extras/model_config.json
@@ -0,0 +1,10 @@
+{
+  "model_config_list": [
+    {
+      "config": {
+        "name": "iris_pipeline",
+        "base_path": "/models/iris_pipeline"
+      }
+    }
+  ]
+}
diff --git a/extras/pipeline/graph.pbtxt b/extras/pipeline/graph.pbtxt
new file mode 100644
index 0000000000..8dfee9b121
--- /dev/null
+++ b/extras/pipeline/graph.pbtxt
@@ -0,0 +1,26 @@
+input_stream: "pipeline_input"
+output_stream: "pipeline_output"
+
+node {
+  calculator: "InferenceCalculator"
+  input_stream: "pipeline_input"
+  output_stream: "trained_model_path"
+  options: {
+    [type.googleapis.com/openvino.CalculatorOptions] {
+      model_name: "iris_pipeline"
+      signature_name: "serving_default"
+    }
+  }
+}
+
+node {
+  calculator: "InferenceCalculator"
+  input_stream: "trained_model_path"
+  output_stream: "pipeline_output"
+  options: {
+    [type.googleapis.com/openvino.CalculatorOptions] {
+      model_name: "iris_pipeline"
+      signature_name: "serving_default"
+    }
+  }
+}
\ No newline at end of file
diff --git a/extras/pipeline/ovmsmodel.py b/extras/pipeline/ovmsmodel.py
new file mode 100644
index 0000000000..c9eb7ee4e1
--- /dev/null
+++ b/extras/pipeline/ovmsmodel.py
@@ -0,0 +1,43 @@
+import pandas as pd
+import numpy as np
+import joblib
+import os
+import io
+from pyovms import Tensor
+from sklearn.linear_model import LogisticRegression
+from skl2onnx import to_onnx
+import onnx
+
+class OvmsPythonModel:
+    def initialize(self, kwargs):
+        print("Training handler initialized.")
+
+    def execute(self, inputs):
+        print("Starting training...")
+        input_tensor = inputs[0]
+        input_data = input_tensor.as_numpy()
+        csv_str = input_data.tobytes().decode('utf-8')
+
+        df = pd.read_csv(io.StringIO(csv_str))
+
+        X = df.iloc[:, :-1]
+        y = df.iloc[:, -1]
+
+        model = LogisticRegression(max_iter=200)
+        model.fit(X, y)
+
+        # Ensure output directory exists
+        output_dir = "/model/iris_logreg/1"
+        os.makedirs(output_dir, exist_ok=True)
+
+        # Convert to ONNX and save to the versioned folder
+        onx = to_onnx(model, X[:1], target_opset=12)
+        output_path = os.path.join(output_dir, "logreg_model.onnx")
+        with open(output_path, "wb") as f:
+            f.write(onx.SerializeToString())
+
+        print(f"Model saved to {output_path}")
+        return [Tensor.from_numpy(np.array([True]))]
+
+    def finalize(self):
+        print("Training handler finalized.")
\ No newline at end of file