/
example_params_explainer.py
59 lines (50 loc) · 2.16 KB
/
example_params_explainer.py
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"""Example of how to define MLI explainer parameters."""
# Copyright 2017-2021 H2O.ai, Inc. All rights reserved.
from h2oaicore.mli.oss.byor.core.explainers import (
CustomDaiExplainer,
CustomExplainer,
CustomExplainerParam,
)
from h2oaicore.mli.oss.byor.core.explanations import WorkDirArchiveExplanation
from h2oaicore.mli.oss.byor.explainer_utils import CustomExplainerArgs
from h2oaicore.mli.oss.commons import ExplainerParamType
class ExampleParamsExplainer(CustomExplainer, CustomDaiExplainer):
PARAM_ROWS_TO_SCORE = "rows_to_score"
_display_name = "Example Params Explainer"
_description = "This explainer example shows how to define explainer parameters."
_regression = True
_parameters = [
CustomExplainerParam(
param_name=PARAM_ROWS_TO_SCORE,
description="The number of dataset rows to be scored by explainer.",
param_type=ExplainerParamType.int,
default_value=1,
src=CustomExplainerParam.SRC_EXPLAINER_PARAMS,
),
]
_explanation_types = [WorkDirArchiveExplanation]
def __init__(self):
CustomExplainer.__init__(self)
CustomDaiExplainer.__init__(self)
self.args = None
def setup(self, model, persistence, **e_params):
CustomExplainer.setup(self, model, persistence, **e_params)
CustomDaiExplainer.setup(self, **e_params)
# resolve explainer parameters to instance attributes
self.args = CustomExplainerArgs(ExampleParamsExplainer._parameters)
self.args.resolve_params(
explainer_params=CustomExplainerArgs.json_str_to_dict(
self.explainer_params_as_str
)
)
def explain(self, X, y=None, explanations_types=None, **kwargs) -> list:
# use parameter
rows = self.args.get(self.PARAM_ROWS_TO_SCORE)
df = X[:rows, self.used_features]
prediction = self.model.predict_method(df)
self.logger.info(f"Predictions of dataset with shape {df.shape}: {prediction}")
return [
self.create_explanation_workdir_archive(
display_name=self.display_name, display_category="Demo"
)
]