Metadata-Version: 2.1
Name: mlserver-xgboost
Version: 1.1.1rc2
Summary: XGBoost runtime for MLServer
Home-page: https://github.com/SeldonIO/MLServer.git
Author: Seldon Technologies Ltd.
Author-email: hello@seldon.io
License: Apache 2.0
Description: # XGBoost runtime for MLServer
        
        This package provides a MLServer runtime compatible with XGBoost.
        
        ## Usage
        
        You can install the runtime, alongside `mlserver`, as:
        
        ```bash
        pip install mlserver mlserver-xgboost
        ```
        
        For further information on how to use MLServer with XGBoost, you can check out
        this [worked out example](../../docs/examples/xgboost/README.md).
        
        ## Content Types
        
        The XGBoost runtime supports a new `dmatrix` content type, aim to decode V2
        Inference payloads into [XGBoost's `DMatrix` data
        type](https://xgboost.readthedocs.io/en/stable/python/python_api.html#xgboost.DMatrix).
        This content type uses a similar set of encoding rules as the [NumPy Array
        one](../../docs/user-guide/content-type).
        
        If no content type is specified on either the request payload or the model's
        metadata, the XGBoost runtime will default to the `dmatrix` content type.
        To avoid this, either send a different content type explicitly, or define the
        correct one as part of your [model's
        metadata](../../docs/reference/model-settings).
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
