Add validations for explainable model arguments in MimicExplainer #354
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Signed-off-by: Gaurav Gupta <gaugup@microsoft.com>
Signed-off-by: Gaurav Gupta <gaugup@microsoft.com>
Signed-off-by: Gaurav Gupta <gaugup@microsoft.com>
imatiach-msft
approved these changes
Dec 31, 2020
| @@ -288,7 +289,6 @@ def __init__(self, model, initialization_examples, explainable_model, explainabl | |||
| # Index the categorical string columns for training data | |||
| self._column_indexer = initialization_examples.string_index(columns=categorical_features) | |||
| self._one_hot_encoder = None | |||
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why was this removed?
explainable_model_args[LightGBMParams.CATEGORICAL_FEATURE] = categorical_features
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oh I guess you moved it to line 347, I guess that's ok, my only slight concern is now we are doing the same checks in multiple places:
is_tree_model = explainable_model.explainable_model_type == ExplainableModelType.TREE_EXPLAINABLE_MODEL_TYPE
if is_tree_model and self._supports_categoricals(explainable_model):
but it's not expensive so I think it's ok
Signed-off-by: Gaurav Gupta <gaugup@microsoft.com>
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Signed-off-by: Gaurav Gupta gaugup@microsoft.com