### Install TL2cgen using pip

Source: https://tl2cgen.readthedocs.io

Install TL2cgen using pip. This is the standard method for installing Python packages.

```bash
pip install tl2cgen

```

--------------------------------

### Install TL2cgen using Conda

Source: https://tl2cgen.readthedocs.io

Install TL2cgen from the conda-forge channel. This is an alternative installation method for Conda users.

```bash
conda install -c conda-forge tl2cgen

```

--------------------------------

### Import and Load Tree Model with Treelite

Source: https://tl2cgen.readthedocs.io

Import the treelite library and load a tree ensemble model from a JSON file. Ensure the model file exists and the format is correctly specified.

```python
import treelite  # Used for importing tree model
model = treelite.Model.load("my_model.json", model_format="xgboost_json")

```

--------------------------------

### Make Predictions with Native Library

Source: https://tl2cgen.readthedocs.io

Load the exported native shared library using the Predictor class and make predictions on new data. The data should be in a DMatrix format.

```python
predictor = tl2cgen.Predictor("./predictor.so")
dmat = tl2cgen.DMatrix(X)
out_pred = predictor.predict(dmat)

```

--------------------------------

### Export Source Archive with CMakeLists.txt

Source: https://tl2cgen.readthedocs.io

Export a source archive containing the compiled code and a CMakeLists.txt file for building. This is useful for cross-platform compilation or when direct library export is not feasible.

```python
# Run `cmake` on the target machine
tl2cgen.export_srcpkg(model, toolchain="cmake", pkgpath="./archive.zip",
                      libname="predictor")

```

--------------------------------

### Generate C Code with TL2cgen

Source: https://tl2cgen.readthedocs.io

Use TL2cgen to generate C code from a loaded Treelite model. The generated code will be saved to the specified directory.

```python
import tl2cgen
tl2cgen.generate_c_code(model, dirpath="./src")

```

--------------------------------

### Export Native Shared Library with TL2cgen

Source: https://tl2cgen.readthedocs.io

Export the compiled model as a native shared library. Specify the toolchain (e.g., 'gcc') and the desired output path for the library.

```python
tl2cgen.export_lib(model, toolchain="gcc", libpath="./predictor.so")

```

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