SeldonIO · adriangonz · Oct 3, 2023 · Mar 22, 2022 · Mar 22, 2022 · Mar 22, 2022
diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
@@ -92,6 +92,7 @@ jobs:
           - huggingface
           - alibi-explain
           - alibi-detect
+          - catboost
         is-pr:
           - ${{ github.event_name == 'pull_request' }}
         exclude:

diff --git a/README.md b/README.md
@@ -75,6 +75,7 @@ Out of the box, MLServer provides support for:
 | XGBoost       | ✅        | [MLServer XGBoost](./runtimes/xgboost)                           |
 | Spark MLlib   | ✅        | [MLServer MLlib](./runtimes/mllib)                               |
 | LightGBM      | ✅        | [MLServer LightGBM](./runtimes/lightgbm)                         |
+| CatBoost     | ✅        | [MLServer CatBoost](./runtimes/catboost)                         |
 | Tempo         | ✅        | [`github.com/SeldonIO/tempo`](https://github.com/SeldonIO/tempo) |
 | MLflow        | ✅        | [MLServer MLflow](./runtimes/mlflow)                             |
 | Alibi-Detect  | ✅        | [MLServer Alibi Detect](./runtimes/alibi-detect)                 |
@@ -91,6 +92,7 @@ MLServer to start serving your machine learning models.
 - [Serving a `scikit-learn` model](./docs/examples/sklearn/README.md)
 - [Serving a `xgboost` model](./docs/examples/xgboost/README.md)
 - [Serving a `lightgbm` model](./docs/examples/lightgbm/README.md)
+- [Serving a `catboost` model](./docs/examples/catboost/README.md)
 - [Serving a `tempo` pipeline](./docs/examples/tempo/README.md)
 - [Serving a custom model](./docs/examples/custom/README.md)
 - [Serving an `alibi-detect` model](./docs/examples/alibi-detect/README.md)

diff --git a/docs/examples/catboost/README.ipynb b/docs/examples/catboost/README.ipynb
@@ -0,0 +1,190 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Serving CatBoost models\n",
+    "\n",
+    "Out of the box, `mlserver` supports the deployment and serving of `catboost` models.\n",
+    "By default, it will assume that these models have been [serialised using the `save_model()` method](https://catboost.ai/en/docs/concepts/python-reference_catboost_save_model).\n",
+    "\n",
+    "In this example, we will cover how we can train and serialise a simple model, to then serve it using `mlserver`."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Training\n",
+    "\n",
+    "To test the CatBoost Server, first we need to generate a simple CatBoost model using Python."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "from catboost import CatBoostClassifier\n",
+    "\n",
+    "train_data = np.random.randint(0, 100, size=(100, 10))\n",
+    "train_labels = np.random.randint(0, 2, size=(100))\n",
+    "\n",
+    "model = CatBoostClassifier(iterations=2,\n",
+    "                           depth=2,\n",
+    "                           learning_rate=1,\n",
+    "                           loss_function='Logloss',\n",
+    "                           verbose=True)\n",
+    "model.fit(train_data, train_labels)\n",
+    "model.save_model('model.cbm')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Our model will be persisted as a file named `model.cbm`."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Serving\n",
+    "\n",
+    "Now that we have trained and saved our model, the next step will be to serve it using `mlserver`. \n",
+    "For that, we will need to create 2 configuration files: \n",
+    "\n",
+    "- `settings.json`: holds the configuration of our server (e.g. ports, log level, etc.).\n",
+    "- `model-settings.json`: holds the configuration of our model (e.g. input type, runtime to use, etc.)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### `settings.json`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%writefile settings.json\n",
+    "{\n",
+    "    \"debug\": \"true\"\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### `model-settings.json`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%writefile model-settings.json\n",
+    "{\n",
+    "    \"name\": \"catboost\",\n",
+    "    \"implementation\": \"mlserver_catboost.CatboostModel\",\n",
+    "    \"parameters\": {\n",
+    "        \"uri\": \"./model.cbm\",\n",
+    "        \"version\": \"v0.1.0\"\n",
+    "    }\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Start serving our model\n",
+    "\n",
+    "Now that we have our config in-place, we can start the server by running `mlserver start .`. This needs to either be ran from the same directory where our config files are or pointing to the folder where they are.\n",
+    "\n",
+    "```shell\n",
+    "mlserver start .\n",
+    "```\n",
+    "\n",
+    "Since this command will start the server and block the terminal, waiting for requests, this will need to be ran in the background on a separate terminal."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Send test inference request\n",
+    "\n",
+    "We now have our model being served by `mlserver`.\n",
+    "To make sure that everything is working as expected, let's send a request from our test set.\n",
+    "\n",
+    "For that, we can use the Python types that `mlserver` provides out of box, or we can build our request manually."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import numpy as np\n",
+    "\n",
+    "test_data = np.random.randint(0, 100, size=(1, 10))\n",
+    "\n",
+    "x_0 = test_data[0:1]\n",
+    "inference_request = {\n",
+    "    \"inputs\": [\n",
+    "        {\n",
+    "            \"name\": \"predict-prob\",\n",
+    "            \"shape\": x_0.shape,\n",
+    "            \"datatype\": \"FP32\",\n",
+    "            \"data\": x_0.tolist()\n",
+    "        }\n",
+    "    ]\n",
+    "}\n",
+    "\n",
+    "endpoint = \"http://localhost:8080/v2/models/catboost/versions/v0.1.0/infer\"\n",
+    "response = requests.post(endpoint, json=inference_request)\n",
+    "\n",
+    "print(response.json())"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/examples/catboost/README.md b/docs/examples/catboost/README.md
@@ -0,0 +1,104 @@
+# Serving CatBoost models
+
+Out of the box, `mlserver` supports the deployment and serving of `catboost` models.
+By default, it will assume that these models have been [serialised using the `save_model()` method](https://catboost.ai/en/docs/concepts/python-reference_catboost_save_model).
+
+In this example, we will cover how we can train and serialise a simple model, to then serve it using `mlserver`.
+
+## Training
+
+To test the CatBoost Server, first we need to generate a simple CatBoost model using Python.
+
+
+```python
+import numpy as np
+from catboost import CatBoostClassifier
+
+train_data = np.random.randint(0, 100, size=(100, 10))
+train_labels = np.random.randint(0, 2, size=(100))
+
+model = CatBoostClassifier(iterations=2,
+                           depth=2,
+                           learning_rate=1,
+                           loss_function='Logloss',
+                           verbose=True)
+model.fit(train_data, train_labels)
+model.save_model('model.cbm')
+```
+
+Our model will be persisted as a file named `model.cbm`.
+
+## Serving
+
+Now that we have trained and saved our model, the next step will be to serve it using `mlserver`. 
+For that, we will need to create 2 configuration files: 
+
+- `settings.json`: holds the configuration of our server (e.g. ports, log level, etc.).
+- `model-settings.json`: holds the configuration of our model (e.g. input type, runtime to use, etc.).
+
+### `settings.json`
+
+
+```python
+%%writefile settings.json
+{
+    "debug": "true"
+}
+```
+
+### `model-settings.json`
+
+
+```python
+%%writefile model-settings.json
+{
+    "name": "catboost",
+    "implementation": "mlserver_catboost.CatboostModel",
+    "parameters": {
+        "uri": "./model.cbm",
+        "version": "v0.1.0"
+    }
+}
+```
+
+### Start serving our model
+
+Now that we have our config in-place, we can start the server by running `mlserver start .`. This needs to either be ran from the same directory where our config files are or pointing to the folder where they are.
+
+```shell
+mlserver start .
+```
+
+Since this command will start the server and block the terminal, waiting for requests, this will need to be ran in the background on a separate terminal.
+
+### Send test inference request
+
+We now have our model being served by `mlserver`.
+To make sure that everything is working as expected, let's send a request from our test set.
+
+For that, we can use the Python types that `mlserver` provides out of box, or we can build our request manually.
+
+
+```python
+import requests
+import numpy as np
+
+test_data = np.random.randint(0, 100, size=(1, 10))
+
+x_0 = test_data[0:1]
+inference_request = {
+    "inputs": [
+        {
+            "name": "predict-prob",
+            "shape": x_0.shape,
+            "datatype": "FP32",
+            "data": x_0.tolist()
+        }
+    ]
+}
+
+endpoint = "http://localhost:8080/v2/models/catboost/versions/v0.1.0/infer"
+response = requests.post(endpoint, json=inference_request)
+
+print(response.json())
+```
diff --git a/docs/examples/catboost/model-settings.json b/docs/examples/catboost/model-settings.json
@@ -0,0 +1,8 @@
+{
+    "name": "catboost",
+    "implementation": "mlserver_catboost.CatboostModel",
+    "parameters": {
+        "uri": "./model.cbm",
+        "version": "v0.1.0"
+    }
+}
diff --git a/docs/examples/catboost/model.cbm b/docs/examples/catboost/model.cbm
diff --git a/docs/examples/catboost/settings.json b/docs/examples/catboost/settings.json
@@ -0,0 +1,3 @@
+{
+    "debug": "true"
+}
diff --git a/docs/examples/index.md b/docs/examples/index.md
@@ -16,6 +16,7 @@ models](./custom/README.md)).
 - [Serving Scikit-Learn models](./sklearn/README.md)
 - [Serving XGBoost models](./xgboost/README.md)
 - [Serving LightGBM models](./lightgbm/README.md)
+- [Serving CatBoost models](./catboost/README.md)
 - [Serving Tempo pipelines](./tempo/README.md)
 - [Serving MLflow models](./mlflow/README.md)
 - [Serving custom models](./custom/README.md)

diff --git a/docs/runtimes/catboost.md b/docs/runtimes/catboost.md
@@ -0,0 +1,3 @@
+```{include} ../../runtimes/catboost/README.md
+:relative-docs: ../../docs/
+```
diff --git a/docs/runtimes/index.md b/docs/runtimes/index.md
@@ -22,17 +22,16 @@ class in your `model-settings.json` file.
 
 ## Included Inference Runtimes
 
-| Framework     | Package Name             | Implementation Class                         | Example                                                    | Documentation                                                    |
-| ------------- | ------------------------ | -------------------------------------------- | ---------------------------------------------------------- | ---------------------------------------------------------------- |
-| Scikit-Learn  | `mlserver-sklearn`       | `mlserver_sklearn.SKLearnModel`              | [Scikit-Learn example](../examples/sklearn/README.md)      | [MLServer SKLearn](./sklearn)                                    |
-| XGBoost       | `mlserver-xgboost`       | `mlserver_xgboost.XGBoostModel`              | [XGBoost example](../examples/xgboost/README.md)           | [MLServer XGBoost](./xgboost)                                    |
-| HuggingFace   | `mlserver-huggingface`   | `mlserver_huggingface.HuggingFaceRuntime`    | [HuggingFace example](../examples/huggingface/README.md)   | [MLServer HuggingFace](./huggingface)                            |
-| Spark MLlib   | `mlserver-mllib`         | `mlserver_mllib.MLlibModel`                  | Coming Soon                                                | [MLServer MLlib](./mllib)                                        |
-| LightGBM      | `mlserver-lightgbm`      | `mlserver_lightgbm.LightGBMModel`            | [LightGBM example](../examples/lightgbm/README.md)         | [MLServer LightGBM](./lightgbm)                                  |
-| Tempo         | `tempo`                  | `tempo.mlserver.InferenceRuntime`            | [Tempo example](../examples/tempo/README.md)               | [`github.com/SeldonIO/tempo`](https://github.com/SeldonIO/tempo) |
-| MLflow        | `mlserver-mlflow`        | `mlserver_mlflow.MLflowRuntime`              | [MLflow example](../examples/mlflow/README.md)             | [MLServer MLflow](./mlflow)                                      |
-| Alibi-Detect  | `mlserver-alibi-detect`  | `mlserver_alibi_detect.AlibiDetectRuntime`   | [Alibi-detect example](../examples/alibi-detect/README.md) | [MLServer Alibi-Detect](./alibi-detect)                          |
-| Alibi-Explain | `mlserver-alibi-explain` | `mlserver_alibi_explain.AlibiExplainRuntime` | Coming Soon                                                | [MLServer Alibi-Explain](./alibi-explain)                        |
+| Framework    | Package Name            | Implementation Class                       | Example                                                    | Documentation                                                    |
+| ------------ | ----------------------- | ------------------------------------------ | ---------------------------------------------------------- | ---------------------------------------------------------------- |
+| Scikit-Learn | `mlserver-sklearn`      | `mlserver_sklearn.SKLearnModel`            | [Scikit-Learn example](../examples/sklearn/README.md)      | [MLServer SKLearn](./sklearn)                                    |
+| XGBoost      | `mlserver-xgboost`      | `mlserver_xgboost.XGBoostModel`            | [XGBoost example](../examples/xgboost/README.md)           | [MLServer XGBoost](./xgboost)                                    |
+| Spark MLlib  | `mlserver-mllib`        | `mlserver_mllib.MLlibModel`                | Coming Soon                                                | [MLServer MLlib](./mllib)                                        |
+| LightGBM     | `mlserver-lightgbm`     | `mlserver_lightgbm.LightGBMModel`          | [LightGBM example](../examples/lightgbm/README.md)         | [MLServer LightGBM](./lightgbm)                                  |
+| CatBoost     | `mlserver-catboost`     | `mlserver_catboost.CatboostModel`          | [CatBoost example](../examples/catboost/README.md)         | [MLServer CatBoost](./catboost)                                  |
+| Tempo        | `tempo`                 | `tempo.mlserver.InferenceRuntime`          | [Tempo example](../examples/tempo/README.md)               | [`github.com/SeldonIO/tempo`](https://github.com/SeldonIO/tempo) |
+| MLflow       | `mlserver-mlflow`       | `mlserver_mlflow.MLflowRuntime`            | [MLflow example](../examples/mlflow/README.md)             | [MLServer MLflow](./mlflow)                                      |
+| Alibi-Detect | `mlserver-alibi-detect` | `mlserver_alibi_detect.AlibiDetectRuntime` | [Alibi-detect example](../examples/alibi-detect/README.md) | [MLServer Alibi-Detect](./alibi-detect)                          |
 
 ```{toctree}
 :hidden:
@@ -44,6 +43,7 @@ MLflow <./mlflow>
 Tempo <https://tempo.readthedocs.io>
 Spark MLlib <./mllib>
 LightGBM <./lightgbm>
+Catboost <./catboost>
 Alibi-Detect <./alibi-detect>
 Alibi-Explain <./alibi-explain>
 HuggingFace <./huggingface>