Module hummingbird.ml.operator_converters
All operators converters are stored under this package.
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# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""
All operators converters are stored under this package.
"""
# Register constants used within Hummingbird converters.
from . import constants as converter_constants
from .. import supported as hummingbird_constants
from .._utils import _Constants
# Add constants in scope.
constants = _Constants(converter_constants, hummingbird_constants)
# To register a converter for scikit-learn API operators, import associated modules here.
from .onnx import onnx_operator # noqa: E402
from .onnx import array_feature_extractor as onnx_afe # noqa: E402, F811
from .onnx import linear as onnx_linear # noqa: E402, F811
from .onnx import normalizer as onnx_normalizer # noqa: E402, F811
from .onnx import one_hot_encoder as onnx_ohe # noqa: E402, F811
from .onnx import scaler as onnx_scaler # noqa: E402, F811
from .onnx import tree_ensemble # noqa: E402
from .sklearn import array_feature_extractor as sklearn_afe # noqa: E402
from .sklearn import decision_tree # noqa: E402
from .sklearn import decomposition # noqa: E402
from .sklearn import discretizer as sklearn_discretizer # noqa: E402
from .sklearn import gbdt # noqa: E402
from .sklearn import iforest # noqa: E402
from .sklearn import imputer # noqa: E402
from .sklearn import linear as sklearn_linear # noqa: E402
from .sklearn import mlp as sklearn_mlp # noqa: E402
from .sklearn import nb as sklearn_nb # noqa: E402
from .sklearn import normalizer as sklearn_normalizer # noqa: E402
from .sklearn import one_hot_encoder as sklearn_ohe # noqa: E402
from .sklearn import pipeline # noqa: E402
from .sklearn import poly_features # noqa: E402
from .sklearn import scaler as sklearn_scaler # noqa: E402
from .sklearn import sv # noqa: E402
from . import lightgbm # noqa: E402
from . import xgb # noqa: E402
__pdoc__ = {}
__pdoc__["hummingbird.operator_converters._array_feature_extractor_implementations"] = True
__pdoc__["hummingbird.operator_converters._decomposition_implementations"] = True
__pdoc__["hummingbird.operator_converters._discretizer_implementations"] = True
__pdoc__["hummingbird.operator_converters._gbdt_commons"] = True
__pdoc__["hummingbird.operator_converters._linear_implementations"] = True
__pdoc__["hummingbird.operator_converters._mlp_implementations"] = True
__pdoc__["hummingbird.operator_converters._nb_implementations"] = True
__pdoc__["hummingbird.operator_converters._normalizer_implementations"] = True
__pdoc__["hummingbird.operator_converters._one_hot_encoder_implementations"] = True
__pdoc__["hummingbird.operator_converters._scaler_implementations"] = True
__pdoc__["hummingbird.operator_converters._tree_commons"] = True
__pdoc__["hummingbird.operator_converters._tree_implementations"] = True
Sub-modules
hummingbird.ml.operator_converters.constants
-
Constants used in the Hummingbird converters are defined here.
hummingbird.ml.operator_converters.lightgbm
-
Converters for LightGBM models.
hummingbird.ml.operator_converters.onnx
-
All onnx operators converters are stored under this package.
hummingbird.ml.operator_converters.sklearn
-
All scikit-learn operators converters are stored under this package.
hummingbird.ml.operator_converters.xgb
-
Converters for XGBoost models.