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h2o-py/h2o/estimators/isotonicregression.py

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@@ -199,7 +199,7 @@ def out_of_bounds(self):
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>>> w_values = np.random.rand(train.shape[0])
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>>> w_frame = H2OFrame(w_values.reshape(-1, 1), column_names=["w"])
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>>> train = train.cbind(w_frame)
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>>> h2o_iso_reg = H2OIsotonicRegressionEstimator(out_of_bounds="na")
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>>> h2o_iso_reg = H2OIsotonicRegressionEstimator(out_of_bounds="clip")
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>>> h2o_iso_reg.train(training_frame=train, x="X", y="y")
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>>> h2o_iso_reg.predict(train)
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"""

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