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Merge d2da7e56ab3de5377b890ecd98ce4949e7b3ebd4 into 72eda9a24f815f6d566818cbf8518138e29d83e9
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b4f0518ee5
@ -51,12 +51,13 @@ class TFModelInitializerBuilder:
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if len(discretized_features) == 0:
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return
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num_bins = max([len(bins) for bins in discretized_features.values()])
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num_bins = max(len(bins) for bins in discretized_features.values())
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bin_boundaries_and_weights = {}
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for feature_name in discretized_features:
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bin_boundaries_and_weights[feature_name] = self._extract_bin_boundaries_and_weights(
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bin_boundaries_and_weights = {
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feature_name: self._extract_bin_boundaries_and_weights(
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discretized_features[feature_name], num_bins)
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for feature_name in discretized_features
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}
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tf_model_initializer["features"]["discretized"] = bin_boundaries_and_weights
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